Charged particle beam devices, e.g., for repair tasks, are subject to disturbances. A sensor output of one or more sensors is used to compensate the disturbances, e.g., while executing a manipulation mode for repairing defects on a lithography mask.
An apparatus includes a detection beam path, along which detection radiation is guided, and an dichroic beam splitter configured for splitting the detection radiation between first and second detection paths, with a detector being in each detection path. A microlens array is arranged upstream of at least one detector. The first detector has a first spatial resolution, and the second detector has a second spatial resolution that is lower than the first spatial resolution. Also, the first detector has a first temporal resolution, and the second detector has a second temporal resolution that is higher than the first temporal resolution. Captured image data and computationally combined to form a three-dimensionally resolved resulting image.
A method of virtual staining of a tissue sample includes obtaining multiple sets of imaging data. The imaging data depicts a tissue sample and has been acquired using multiple imaging modalities. Further, the method includes fusing and processing the multiple sets of imaging data in a machine-learning logic. The machine-learning logic is configured to provide at least one output image. Each one of the at least one output image depicts the tissue sample comprising a respective virtual stain.
G06T 5/50 - Amélioration ou restauration d'image utilisant plusieurs images, p. ex. moyenne ou soustraction
G06V 20/69 - Objets microscopiques, p. ex. cellules biologiques ou pièces cellulaires
G16H 30/20 - TIC spécialement adaptées au maniement ou au traitement d’images médicales pour le maniement d’images médicales, p. ex. DICOM, HL7 ou PACS
A microscope with fast quasi-confocal detection has a main beam splitter and an adjustable beam deflection unit for moving an illumination light through a sample space. The beam deflection unit is optically arranged between a light source and a main beam splitter such that the sample light away from the beam deflection unit passes to a sensor, wherein both the illumination light and the sample light pass through the same intermediate image.
A method for ascertaining offset values for correcting the offset of an immersion objective of an image-creating optical system comprises the following steps: imaging an object using a reference objective of the optical system and the immersion objective without immersion and ascertaining offset values for an offset between the reference objective and the immersion objective with immersion on the basis of the image representations of the object
A microscope comprising an illumination beam path for guiding excitation light onto and/or into a sample a detection unit for detecting light emitted from the sample, and a detection beam path with a microscope objective for guiding at least a portion of the light emitted from the sample to the detection unit. In the detection unit, a first detection channel with at least one first detector and at least one further detection channel are formed, with each further detection channel comprising at least one detector. The detection unit includes at least one beam splitter in each case for guiding a portion of the light emitted from the sample into a respective further detection channel. At least one of the detection channels includes a manipulation device for axial displacement of a focal region in order to image axially spaced sample planes in at least two detection channels.
The “rocking beam” method is used to generate a first image of an object and a second image of the object. A control device sets the size and/or the shape of an opening and/or the position of an aperture unit of the particle beam apparatus, and/or at least one electrostatic and/or magnetic deflection unit of the particle beam apparatus for displacing the scanning region, in such a way that a first irradiation direction of the particle beam in the direction of the location on the surface of the object corresponds to a second irradiation direction of the particle beam in the direction of the location on the surface of the object, wherein the first irradiation direction is ascertained from the first image and wherein the second irradiation direction is ascertained from the second image.
Operating a particle beam apparatus for imaging, analyzing and/or processing an object includes guiding a particle beam using a first guiding device and a second guiding device in such a way that the particle beam is guided to first positions on a surface of the object. The first positions are arranged along a first geometrical shape on the object. The particle beam is also guided to second positions on the surface of the object using the first guiding device and the second guiding device. The second positions are arranged along a second geometrical shape on the object. Guiding the particle beam along the first geometrical shape and/or along the second geometrical shape is faster in time than guiding the particle beam from the first geometrical shape to the second geometrical shape.
Disclosed are techniques for acquiring frames using a plurality of detection channels, including the steps of acquiring first frame data using a first detection channel in a first acquisition mode and of acquiring second frame data using a second detection channel in a second acquisition mode, where the first frame data and the second frame data are acquired in respectively mutually alternating acquisition sequences of a respective acquisition series. The duration of the acquisition sequences of the acquisition series is chosen differently for each detection channel, with the duration of the acquisition sequences in one of the acquisition modes differing from the duration of the acquisition sequences of the at least one further acquisition mode at least by the duration of a single frame acquisition. An optical device can acquire frames using a plurality of detection channels.
An image sensor includes photon-counting detector elements and a first group of pulse shapers to convert signals from the photon-counting detector elements into pulse shaper output streams in which pulses have at minimum a first pulse length. A connection unit combines a plurality of the pulse shaper output streams into at least one macropixel stream. The at least one macropixel stream is processed by at least one monostable/astable circuit which outputs a processed stream in which pulses have a second pulse length. The second pulse length is shorter than the first pulse length by a time span t_PF and thus a pulse-free interval for at least the time span t_PF is created after each pulse in the processed stream.
A particle beam system comprises: an object mount for mounting an object to be examined; a particle beam source; a lens for focusing the particle beam; a detector; and a cooling system for cooling the object mount. The cooling system comprises: a coolant passage through the object mount; a supply port; an outlet; a heat exchanger having two passages; a first connecting line connected to the inlet of the coolant passage and the first passage through the heat exchanger; a second connecting line connected to the outlet of the coolant passage and the second passage through the heat exchanger; a third connecting line connected to the first passage through the heat exchanger and the supply port; a fourth connecting line connected to the second passage through the heat exchanger and the outlet; and a cooling mechanism for cooling a portion of the first connecting line.
A particle beam system comprises: an object mount for mounting an object to be examined; a particle beam source for creating a particle beam; a lens for focusing the particle beam on the object; a detector for detecting signals created at the object by the particle beam; a cooling system configured to provide a flow of a coolant through a coolant passage through the object mount; and a controller. The cooling system comprises: a cooling mechanism configured to cool the flow of the coolant in a coolant passage through the cooling mechanism; and a pump configured to convey the coolant in order to create the flow of the coolant.
A particle beam system comprises: an object mount for mounting an object to be examined; a particle beam source; a lens for focusing the particle beam; a detector; and a cooling system for cooling the object mount. The cooling system comprises: a coolant passage through the object mount; a supply port; an outlet; a switchover valve having two positions; a first connecting line connected to the coolant passage and the switchover valve; a second connecting line connected to the coolant passage and the switchover valve; and a cooling mechanism for cooling a portion of the first connecting line. In the first position, the switchover valve connects the supply port to the first connecting line and connects the outlet to the second connecting line. In the second position, the switchover valve connects the supply port to the second connecting line and connects the outlet to the first connecting line.
An image is broken down into multiple tiles pairs of the tiles include an overlap region. The tiles can be processed by a instance segmentation algorithm. Techniques of overlap handling of multiple instance boundaries at least partly arranged in the overlap region are disclosed.
In a computer-implemented method for controlling a microscope, a textual input describing a desired microscope image and an employed sample is received. The textual input and an overview image of the employed sample are input into a large language model, which is trained to process the textual input and the overview image together to calculate microscope settings for capturing a microscope image that corresponds to the desired microscope image. A microscope image is then captured with these calculated microscope settings.
G06V 10/80 - Fusion, c.-à-d. combinaison des données de diverses sources au niveau du capteur, du prétraitement, de l’extraction des caractéristiques ou de la classification
G06V 10/82 - Dispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant les réseaux neuronaux
19.
MULTIMODAL SCANNING MICROSCOPE AND METHOD FOR ITS OPERATION
The invention relates to a scanning microscope (M), having a main colour splitter (3) for separating an illumination radiation and a detection radiation coming from a sample chamber; and at least one detection beam path (10.1, 10.2) for guiding the detection radiation from the main colour splitter (3) to an area detector (12) provided in the detection beam path (10.1, 10.2) and configured to detect detection radiation and to provide measured values, wherein the area detector (12) has a plurality of detector elements (12.1), the measured values of which can be analysed individually and/or in groups. The invention is characterised in that either switching elements (20) are provided in the detection beam path, by means of which at least a first operating state and a second operating state can be set; or the operating states are generated by means of a correspondingly configured evaluation unit (13). The detector elements (12.1) to be read out are selected by means of the control/evaluation unit (13). The invention also relates to a module (Md) and an operating method.
A domain-specific machine-learned model is used to generate context information for a generic machine-learned foundation model. Its output may then be used in turn to retrain the domain-specific machine-learned model.
G06V 10/70 - Dispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique
G06V 10/778 - Apprentissage de profils actif, p. ex. apprentissage en ligne des caractéristiques d’images ou de vidéos
23.
DIGITAL CONTRAST POST-PROCESSING OF MICROSCOPY IMAGES
A prediction algorithm determines synthetic fluorescence images on the basis of measurement images. A validation of the synthetic fluorescence images can be effected on the basis of reference images which are captured after the measurement images or are captured for a separate sample. Alternatively or additionally, a training of the prediction algorithm can be effected on the basis of training images which are captured after the measurement images or are captured for a separate sample.
G06V 10/774 - Génération d'ensembles de motifs de formationTraitement des caractéristiques d’images ou de vidéos dans les espaces de caractéristiquesDispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant l’intégration et la réduction de données, p. ex. analyse en composantes principales [PCA] ou analyse en composantes indépendantes [ ICA] ou cartes auto-organisatrices [SOM]Séparation aveugle de source méthodes de Bootstrap, p. ex. "bagging” ou “boosting”
A method for generating an image of a sample includes radiating a first grid-shaped light sheet of a first wavelength range onto the sample in such a way that the sample is inhomogeneously illuminated by the first light sheet, capturing the light emitted by the sample due to the radiating of the first light sheet of the first wavelength range onto the sample; and reconstructing first areas of the sample, which are not illuminated or are more weakly illuminated using the first light sheet of the first wavelength range, on the basis of the captured light of the second areas of the sample, which are more strongly illuminated using the light sheet of the first wavelength range, by means of a machine learning system.
Various examples relate to determining a number and/or a confluency of cells in a microscopy image. To that end, the microscopy image is firstly rescaled and then processed.
The present invention relates first to an illumination unit for an optical microscope. The illumination unit serves to illuminate a sample to be examined by microscopy using the microscope and comprises a multiplicity of individual light sources for this purpose. The illumination unit also comprises a multiplicity of light mixing elements, each having the shape of a solid or hollow pyramidal frustum with a bottom base, a top base, a lateral face and an axis. The individual light sources are each arranged above the top bases of the light mixing elements. The bottom bases of the light mixing elements together form a light exit surface of the illumination unit. The invention further relates to an optical microscope having the illumination unit according to the invention and to a method for using the microscope according to the invention.
A method of enhancing a resolution of an EDS image of a sample includes generating an EDS image of the sample, generating a non-EDS image of the sample generating, using a machine learning algorithm, an enhanced resolution EDS image of the sample based on the generated feature map and based on the first EDS image, where a resolution of the enhanced resolution EDS image is higher than a resolution of the first EDS image.
G06V 10/82 - Dispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant les réseaux neuronaux
G06V 20/69 - Objets microscopiques, p. ex. cellules biologiques ou pièces cellulaires
G06V 30/24 - Reconnaissance de caractères caractérisée par la méthode de traitement ou de reconnaissance
33.
Method for providing source data for training or validating processing model for processing analyte image sequences
A method for providing source data for training and validating a processing model for processing analyte image sequences. An analyte image sequence is generated by labeling analytes with markers in a plurality of coloring rounds and detecting the markers with a camera. The markers are selected, in particular based on a codebook, such that signal sequences of analytes in an image region over the analyte image sequence comprise colored signals and uncolored signals, in particular an order of the colored and uncolored signals is based on the codebook. The camera captures an image of the analyte image sequence in each of the coloring rounds. The method comprises capturing a spot analyte image sequence of a sample, and comprises providing an evaluation of image regions based on image signals of the image regions. Further, the method comprises identifying spot image regions from the evaluation of the image regions.
G06V 10/46 - Descripteurs pour la forme, descripteurs liés au contour ou aux points, p. ex. transformation de caractéristiques visuelles invariante à l’échelle [SIFT] ou sacs de mots [BoW]Caractéristiques régionales saillantes
G06V 10/56 - Extraction de caractéristiques d’images ou de vidéos relative à la couleur
G06V 10/762 - Dispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant le regroupement, p. ex. de visages similaires sur les réseaux sociaux
G06V 10/774 - Génération d'ensembles de motifs de formationTraitement des caractéristiques d’images ou de vidéos dans les espaces de caractéristiquesDispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant l’intégration et la réduction de données, p. ex. analyse en composantes principales [PCA] ou analyse en composantes indépendantes [ ICA] ou cartes auto-organisatrices [SOM]Séparation aveugle de source méthodes de Bootstrap, p. ex. "bagging” ou “boosting”
G06V 10/776 - ValidationÉvaluation des performances
G06V 20/70 - Étiquetage du contenu de scène, p. ex. en tirant des représentations syntaxiques ou sémantiques
G16B 30/00 - TIC spécialement adaptées à l’analyse de séquences impliquant des nucléotides ou des aminoacides
A microscope comprising an illumination beam path comprising an illumination control device and an illumination objective for illuminating and scanning a sample with excitation light, a detection beam path comprising a microscope objective for guiding emission light emitted by the sample in the direction of a camera for recording images of the sample, and a control unit for controlling the illumination control device and the camera. The control unit being configured to synchronize regions to be read of a sensor area of the camera with a position of the excitation light defined by the illumination control device, wherein the detection beam path includes an image splitter unit for splitting the emission light into multiple partial beam paths which each generate a partial image of the sample, the partial images lying next to one another such that linear regions in the partial images lie on the same line(s) of the sensor area.
In a computer-implemented method for processing a microscope image, the microscope image is converted into a downscaled microscope image and then input into a first image-to-image model. The first image-to-image model calculates a result image which differs in an image property from the downscaled microscope image. The microscope image is input together with the result image into a second image-to-image model, which calculates an output image that has a higher image resolution than the result image and resembles the result image in the image property.
G02B 21/36 - Microscopes aménagés pour la photographie ou la projection
G06T 3/4084 - Changement d'échelle d’images complètes ou de parties d’image, p. ex. agrandissement ou rétrécissement dans le domaine transformé, p. ex. changement d’échelle dans le domaine de la transformée de Fourier rapide
G06T 5/50 - Amélioration ou restauration d'image utilisant plusieurs images, p. ex. moyenne ou soustraction
36.
Microscopy system and method for generating registered microscope images
A computer-implemented method for generating pairs of registered microscope images includes training a generative model to create generated microscope images from input feature vectors comprising feature variables. The training uses image data sets which respectively contain microscope images of microscopic objects but which differ in an imaging/image property. It is identified which of the feature variables are object feature variables, which define at least object positions of microscopic objects in generated microscope images, and which of the feature variables are imaging-property feature variables, which determine a depiction of the microscopic objects in generated microscope images depending on the imaging/image property. At least a pair of generated microscope images is created from feature vectors with corresponding object feature variables and differing imaging-property feature variables, so that the generated microscope images show objects with corresponding object positions, but with a difference in the imaging/image property.
G06V 10/774 - Génération d'ensembles de motifs de formationTraitement des caractéristiques d’images ou de vidéos dans les espaces de caractéristiquesDispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant l’intégration et la réduction de données, p. ex. analyse en composantes principales [PCA] ou analyse en composantes indépendantes [ ICA] ou cartes auto-organisatrices [SOM]Séparation aveugle de source méthodes de Bootstrap, p. ex. "bagging” ou “boosting”
A method of operating a particle beam system comprises providing a model which outputs an output image based on a simulation of the particle beam system, generating vibration data from vibrations measured at the installation site, setting values of parameters of an intended operation of the system, providing an input image to the model, inputting the vibration data and the set values of the parameters into the model, and act based on an analysis of the output image. Straight lines in the input image correspond to straight lines in the output image if the vibrations are of a low intensity. Straight lines in the input image correspond to non-straight lines in the output image if the vibrations are of a high intensity. The parameters represent at least one of a working distance, a kinetic energy of particles incident on the sample, and a scan speed.
An optical element comprises a planoconvex basic shape along an optical axis of the optical element; a third portion arranged between a first portion and a second portion. The first portion includes a plane side face for facing an object to be imaged. The second portion includes a convexly shaped side face for facing an image plane. The plane side face of the first portion is designed to collect and steer a radiation to be captured into the optical element, the optical element being designed to guide rays of the captured radiation in a beam path. The first, the second and the third portions are arranged directly adjacent to one another. A refractive index of the third portion is greater than a refractive index of the second portion, and the refractive index of the second portion is greater than a refractive index of the first portion.
G02B 13/18 - Objectifs optiques spécialement conçus pour les emplois spécifiés ci-dessous avec des lentilles ayant une ou plusieurs surfaces non sphériques, p. ex. pour réduire l'aberration géométrique
Phase contrast images are calculated by digitally post-processing microscope images acquired at different angled illumination configurations and defocus values.
A finity-corrected microscope objective for scanning applications has a numerical aperture of at least and an object field diameter of at least 1 mm. The objective is apochromatically corrected over a spectral bandwidth of at least 200 nm. A distance between an object plane and an intermediate image plane conjugated thereto is not more than 250 mm.
G02B 9/12 - Objectifs optiques caractérisés à la fois par le nombre de leurs composants et la façon dont ceux-ci sont disposés selon leur signe, c.-à-d. + ou — ayant uniquement trois composants
G02B 21/36 - Microscopes aménagés pour la photographie ou la projection
42.
INFINITY-CORRECTED MICROSCOPE OBJECTIVE FOR SCANNING APPLICATIONS
An infinity-corrected microscope objective for scanning applications has a relatively small number of lenses that are dependent on the etendue such that the objective has: i) a first etendue in the range of 0.8 mm2 to 1.8 mm2 and a maximum of nine lenses; or ii) a second etendue in the range of more than 1.8 mm2 and not more than 15 lenses.
G02B 27/00 - Systèmes ou appareils optiques non prévus dans aucun des groupes ,
G02B 9/64 - Objectifs optiques caractérisés à la fois par le nombre de leurs composants et la façon dont ceux-ci sont disposés selon leur signe, c.-à-d. + ou — ayant plus de six composants
Various aspects of the disclosure relate to techniques for recognizing cell structures in microscope images. In particular, techniques for recognizing cell walls, i.e. cell edges, in microscope images, e.g. phase contrast images, are described. For this purpose, a machine-learned algorithm, e.g. an artificial neural network, can be used. Techniques of how annotations can be created as a ground truth for the training of the machine-learned algorithm, e.g. based on the fluorescence channel of transfection image data, are described. Further actions can then be performed based on correspondingly localized cell walls, e.g. cell-instance annotations that segment cell instances, for the training of a further machine-learned algorithm.
A method and a microscope determine flow properties in a sample chamber through which a medium flows. The method includes detecting detection radiation from a confocal volume generated in the sample chamber with a plurality of detector elements of a detector in the form of a detector array at a plurality of points in time. The detector is arranged in a plane conjugate to the rear-side image plane of an objective. The measurement values from the detector elements can be analyzed individually. Cross correlations of the acquired measurement values from the detector elements of at least one pair are generated in two directions and analyzed. The confocal volume is generated at at least two mutually different locations of the sample chamber. At each location, a speed and optionally a movement direction of the medium are determined to create a flow profile over at least one region of the sample chamber.
G01N 11/00 - Recherche des propriétés d'écoulement des matériaux, p. ex. la viscosité, la plasticitéAnalyse des matériaux en déterminant les propriétés d'écoulement
48.
METHOD AND MICROSCOPE FOR GENERATING AN OVERVIEW IMAGE OF A SAMPLE
A method for generating an overview image of a sample which is arranged in an observation volume of a microscope by means of a sample carrier is proposed, wherein the sample carrier is illuminated by a first illumination, wherein a preliminary overview image is generated using the first illumination and an overview camera of the microscope, wherein an overview image illumination is chosen on the basis of the preliminary overview image, wherein the sample carrier is illuminated by the overview illumination, and wherein the overview image is generated using the overview image illumination and the overview camera.
Method for training Machine learning system, method for generating resulting microscope image with a machine learning system, computer program product, and image processing system
A method for training a machine learning system having a processing model for a sample type, which processes microscope images of samples of the sample type by virtual processing mapping, comprising recording at least one fine stack of a sample of the sample type, wherein the at least one fine stack comprises microscope images of the sample registered with respect to one another, determining at least one target microscope image based on the fine stack and the virtual processing mapping, creating an annotated data set comprising at least the target microscope image and a learning microscope image, wherein the learning microscope image is based on a coarse stack capturing the sample coarser than the fine stack, optimizing the processing model on the basis of the annotated data set.
G16H 30/40 - TIC spécialement adaptées au maniement ou au traitement d’images médicales pour le traitement d’images médicales, p. ex. l’édition
G06T 5/50 - Amélioration ou restauration d'image utilisant plusieurs images, p. ex. moyenne ou soustraction
G06V 20/70 - Étiquetage du contenu de scène, p. ex. en tirant des représentations syntaxiques ou sémantiques
G16H 30/20 - TIC spécialement adaptées au maniement ou au traitement d’images médicales pour le maniement d’images médicales, p. ex. DICOM, HL7 ou PACS
A method for operating an electron beam system comprises setting a first potential supplied to an electron emitter to a first value, a second potential supplied to a beam tube to a second value and a third potential supplied to an object to a third value such that the third potential is greater than the first potential and the second potential is greater than the third potential. The method also comprises focusing a beam of the electron beam system on the object by modifying at least one current supplied to at least one focusing magnetic lens.
In a method, a device and a computer program product for acquiring images for training data to train a statistical model by machine learning for image processing in microscopy, the training data is made up of pairs of input images and output images from image processing. The method includes acquiring at least one image, analyzing the at least one image according to predetermined criteria, determining acquisition parameters for the acquisition of output images on the basis of the analysis results, and acquiring output images on the basis of the determined acquisition parameters.
G06V 10/774 - Génération d'ensembles de motifs de formationTraitement des caractéristiques d’images ou de vidéos dans les espaces de caractéristiquesDispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant l’intégration et la réduction de données, p. ex. analyse en composantes principales [PCA] ou analyse en composantes indépendantes [ ICA] ou cartes auto-organisatrices [SOM]Séparation aveugle de source méthodes de Bootstrap, p. ex. "bagging” ou “boosting”
G06V 10/82 - Dispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant les réseaux neuronaux
G06V 20/69 - Objets microscopiques, p. ex. cellules biologiques ou pièces cellulaires
53.
MULTIPOLE ELEMENT, IMAGE ERROR CORRECTOR AND PARTICLE BEAM SYSTEM
A multipole element for creating a magnetic multipole field or for creating an electric-magnetic multipole field for a particle beam system such as a scanning electron microscope, for example, comprises: a tube surrounding a central axis of the multipole element; an external space assembly arranged outside of the tube and a vacuum space assembly arranged within the tube. The external space assembly comprises: a magnetically conductive circumferential pole piece surrounding the tube; a plurality of magnetically conductive supports arranged so as to be distributed around the central axis and extending from the circumferential pole piece up to an outer wall surface of the tube; and a plurality of coils. The vacuum space assembly comprises a plurality of magnetically conductive pole pieces arranged so as to be distributed around the central axis and extending from the tube in the direction of the central axis.
The disclosure relates to a sample holder for holding a microsample during backside thinning, and to a backside thinning method. The sample holder is mountable on a sample stage and comprises a base plate, an intermediate piece and a receiving device. The base plate has a base face. The intermediate piece is rotatably arranged on the base plate and is rotatable about a first axis of rotation R1, which is aligned relative to the base face at an angle of 45°. The receiving device is also rotatably connected to the intermediate piece. The first receiving is being rotatable relative to the intermediate piece about a second axis of rotation R2. The second axis of rotation R2 is aligned relative to the base face at an angle of (90+x)°, with x taking a value of 0 to 20.
H01J 37/20 - Moyens de support ou de mise en position de l'objet ou du matériauMoyens de réglage de diaphragmes ou de lentilles associées au support
B01L 9/00 - Dispositifs de supportDispositifs de serrage
G01N 1/28 - Préparation d'échantillons pour l'analyse
G01N 23/2251 - Recherche ou analyse des matériaux par l'utilisation de rayonnement [ondes ou particules], p. ex. rayons X ou neutrons, non couvertes par les groupes , ou en mesurant l'émission secondaire de matériaux en utilisant des microsondes électroniques ou ioniques en utilisant des faisceaux d’électrons incidents, p. ex. la microscopie électronique à balayage [SEM]
G01N 23/2255 - Recherche ou analyse des matériaux par l'utilisation de rayonnement [ondes ou particules], p. ex. rayons X ou neutrons, non couvertes par les groupes , ou en mesurant l'émission secondaire de matériaux en utilisant des microsondes électroniques ou ioniques en utilisant des faisceaux d’ions incidents, p. ex. des faisceaux de protons
H01J 37/26 - Microscopes électroniques ou ioniquesTubes à diffraction d'électrons ou d'ions
56.
SAMPLE CARRIER, USE THEREOF, AND METHODS, IN PARTICULAR FOR DETECTING PATHOGENS
The disclosure relates to a sample carrier, the use thereof, and methods, in particular for detecting pathogens. The sample carrier has a sample chamber for receiving a sample, which chamber is enclosed by a wall, and an access opening for filling the sample chamber with the sample; the wall has at least one region which is transparent to detection radiation coming from the sample and acts as a detection window. According to the invention, the sample chamber has, in a direction perpendicular to the transparent region of the wall, a clear distance between the opposing inner faces of the wall of at most 50 μm, in particular, at most 25 μm.
An apparatus for attaching an objective to an objective mount of a microscope and for providing a connection for an electrical add-on module for the objective, thereby enabling a more versatile use of the add-on module, with fewer or no restrictions on possible combinations of add-on module and objective. The apparatus includes an adapter ring with an eye to which the objective can be fastened and which can be fastened to the objective mount. The adapter ring has a ring axis, a ring face facing the objective, electrical adapter contacts for connection to electrical mount contacts of the objective mount, contact elements arranged on a ring edge for electrical connection to the add-on module, and a module holder for the add-on module.
An apparatus for fastening a microscope objective to a microscope component. The apparatus having a receptacle which is fastened to the microscope component and includes an annular base, a retaining collar with a lateral opening, and a ring part, with an eye for attaching the microscope objective and with two retaining flattened portions, and two opposite flattened portions which are set back relative to the retaining flattened portions the ring part configured such that its flattened portions can be pushed through the opening into the retaining collar into a pre-locking position. In the pre-locking position not all retaining flanges engage in the retaining collar, and the ring part can be rotated into a locking position in which all retaining flanges engage in the retaining collar. A securing cam is formed at the edge of the opening and a securing projection is formed at one end of one of the flattenings.
According to a method for autofocusing on a microscopic sample, measurement light having a local structure is generated. The measurement light is coupled into the microscope beam path, whereby the measurement light is incident on, and reflected by, the sample. The measurement light reflected by the sample is output from the microscope beam path and split among a plurality of component beam paths which pass over optical paths of different lengths to image the reflected measurement light, whereby a plurality of measurement images assigned to different focus positions on the microscope beam path are obtained. At least the measurement image which comes closest to an ideal image of the local structure of the measurement light is selected. Depending on the focus position assigned to the selected measurement image, a focus position to be used on the microscope beam path for the purpose of microscopic imaging of the sample is set.
A scanning device for scanning a scan field, and a method for operating the device, said scanning device having a first scanner and a second scanner, each with a frame that is movable about a first oscillation axis and, held in said frame a scanning mirror that can be excited resonantly to vibrate about a second oscillation axis. The scanners are arranged in a beam path and imaged onto one another. Their spatial and temporal alignments are matched to one another by means of a controller and by means of drives of the scanners connected therewith, for the purpose of scanning the scan field. Each scanner is a 2-axis scanner whose respective first oscillation axis is directed orthogonally to the respective second oscillation axis.
In a method for operating a particle beam microscope, an image of an object region is generated by virtue of a particle beam being directed to a multiplicity of incidence locations within the object region. Particles are detected and a data record is generated. The data record represents the image by a field of pixels, with a position of the pixel in the field representing the incidence location and a pixel value of the pixel representing an intensity of the detected particles at the incidence location. In order to generate an image with an increased number of pixels, at least two images of the object region are generated in succession with a fewer number of pixels and the data records representing the at least two images are supplied to an image processing program which generates the data record representing the image with the greater number of pixels therefrom.
A particle beam microscope comprises: a particle beam source for generating a particle beam; an objective lens for focusing the particle beam in an object plane; a first scintillator for converting electrons into light; a second scintillator for generating light by way of electrons; and light detectors for detecting the generated light. The distance of second scintillator from the object plane is greater than the distance of the first scintillator from the object plane. The second scintillator has a surface which faces the object plane and through which electrons arriving from the object plane pass. The electrons are converted into light by the second scintillator. The light generated by the first scintillator and detected by a light detector is incident on the second scintillator.
A particle beam microscope comprises an electron beam source, a beam tube, a magnetic objective lens having two pole ends, an object holder, a scintillator between the lower end of the beam tube and an object, a ring electrode between the scintillator and the object, and a potential supply system. The potential supply system provides: a potential U1 to the object holder; a potential U2 to the ring electrode; a potential U3 to the scintillator; and a potential to an electrically conductive inner lateral surface of the beam tube, such that U4>U1, U3>U1, U2>U1 and U2>U3.
The present invention relates to a device for driving a light source for a microscope, the device comprising: a current source, for supplying the light source with a coarse driving current, a small signal generator, for supplying the light source with a fine driving current. The sum of the coarse driving current and of the fine driving current results in a driving current for the light source, wherein the fine driving current has a magnitude smaller than the coarse driving current. The invention further relates to a method for controlling said device.
An electron beam microscope comprises an electron beam source, a beam tube, a magnetic objective lens, an object holder, a scintillator arrangement, a detector arrangement and a potential supply system. The power supply system supplies: i) the object holder with a potential U1; ii) the beam tube with a potential U2; iii) a pole end of the objective lens with a potential U3; iv) a scintillator body of the scintillator arrangement with a potential; and v) a light detector of the detector arrangement with a potential U5, such that:
An electron beam microscope comprises an electron beam source, a beam tube, a magnetic objective lens, an object holder, a scintillator arrangement, a detector arrangement and a potential supply system. The power supply system supplies: i) the object holder with a potential U1; ii) the beam tube with a potential U2; iii) a pole end of the objective lens with a potential U3; iv) a scintillator body of the scintillator arrangement with a potential; and v) a light detector of the detector arrangement with a potential U5, such that:
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A particle beam microscope comprises a particle beam source, an objective lens, a first scintillator, a second scintillator, and a light detector. A first beam path of light generated by the first scintillator and a second beam path of light generated by the second scintillator overlap one another. A scintillator body of the first scintillator generates light having a first spectral distribution. The second scintillator generates light having a second spectral distribution, which is different from the first spectral distribution.
A microscope with at least one optical beam path having a plurality of optical elements, of which at least two per beam path are adjustable along the beam path and relative to one another in order to effect a change in an optical magnification of an image generated by means of the optical beam path; an operating device for selecting the magnification; and a gearbox for generating and transmitting a positioning displacement of the adjustable optical elements along the optical beam path which is associated with a magnification selected on the operating device and effected by means of a drive.
A microscope with at least one optical beam path having a plurality of optical elements, of which at least two per beam path are adjustable along the beam path and relative to one another in order to effect a change in an optical magnification of an image generated by means of the optical beam path; an operating device for selecting the magnification; and a gearbox for generating and transmitting a positioning displacement of the adjustable optical elements along the optical beam path which is associated with a magnification selected on the operating device and effected by means of a drive.
A drive is assigned to each of the adjustable optical elements of an optical beam path or corresponding adjustable optical elements of the beam paths, so that the adjustable optical elements of an optical beam path can be displaced independently of one another.
A number of techniques for assessing simulation models for use in microscopy are provided. In one example technique, a first image (IA) of a sample is recorded with a first image recording type, and storing image values of the first image (IA) are stored. Based on a simulation model (SMA→C) being applied to the first image (IA), a simulated image (IA→C) of a third image recording type of the sample is simulated. A third image (Ic) of the sample is recorded with a third image recording type. The third image (Ic) is compared with the simulated image I(A→c) of the third image recording type for verification of compliance with previously defined quality criteria, and the simulation model (SMA→C) is classified as permissible when the quality criteria are complied with.
G06V 10/764 - Dispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant la classification, p. ex. des objets vidéo
71.
Microscopy System and Method for Generating a Virtually Stained Image
A computer-implemented method for generating an image processing model (M) that calculates a virtually stained image (30) from a microscope image (20) comprises a training (15) of the image processing model (M) using training data (T) comprising at least: microscope images (20) as input data into the image processing model (M); target images (50) formed using captured chemically stained images (60); and predefined segmentation masks (70) that discriminate between image regions (71, 72) to be stained and image regions (72) that are not to be stained. The image processing model (M) is trained to calculate virtually stained images (30) from the input microscope images (20) by optimizing a staining reward/loss function (LSTAIN) that captures a difference between the virtually stained images (30) and the target images (50). The predefined segmentation masks (70) are taken into account in the training (15) of the image processing model (M) to compensate errors in the chemically stained images (60).
G06V 10/774 - Génération d'ensembles de motifs de formationTraitement des caractéristiques d’images ou de vidéos dans les espaces de caractéristiquesDispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant l’intégration et la réduction de données, p. ex. analyse en composantes principales [PCA] ou analyse en composantes indépendantes [ ICA] ou cartes auto-organisatrices [SOM]Séparation aveugle de source méthodes de Bootstrap, p. ex. "bagging” ou “boosting”
G06V 10/98 - Détection ou correction d’erreurs, p. ex. en effectuant une deuxième exploration du motif ou par intervention humaineÉvaluation de la qualité des motifs acquis
G06V 20/69 - Objets microscopiques, p. ex. cellules biologiques ou pièces cellulaires
72.
MICROSCOPE FOR DETERMINING PROPERTIES OF MOVING OBJECTS IN A BIOLOGICAL SAMPLE
A microscope for determining properties of moving objects in a biological sample can include a sample space for arranging a biological sample and an objective for capturing a detection radiation coming from a confocal volume created in the sample. The microscope can have a detection beam path along which a captured detection radiation is steered to a detector in the form of a detector array having a plurality of detector elements, with the detector arranged in a plane conjugate to a back-side image plane of the objective. Measurement values from the detector elements can each be read and analyzed on an individual basis. A light source can provide an excitation radiation. In an illumination beam path, a beam-shaping optical unit can shape the excitation radiation to form a confocal volume in the sample space and/or, in the detection beam path, a beam-shaping optical unit can shape the detection radiation.
Operating a particle beam apparatus includes processing, imaging, and/or analyzing an object. When guiding the particle beam along first dwell regions of a first scan line, the particle beam remains at each of the first dwell regions for a first dwell time. When guiding the particle beam along second dwell regions of a second scan line, the particle beam remains at each of the second dwell regions for a second dwell time. The first dwell time is shorter than the second dwell time. Alternatively, a first region of the first dwell regions has a first spacing with respect to a closest arranged adjacent second region of the first dwell regions. A first region of the second dwell regions has a second spacing with respect to a closest arranged adjacent second region of the second dwell regions. The second spacing is smaller than the first spacing.
Operating an ion beam source comprises operating the ion beam source in a beam generation mode and operating the ion beam source in a decontamination mode. Operating in beam generation mode includes generating an ion beam from ions emitted from a tip. Operating in decontamination mode includes supplying power to a heating wire to raise the temperature of the heating wire to a decontamination temperature, measuring a change over time of a physical property indicating a temperature of the heating wire while the power is supplied to the heating wire, and displaying an indication based on the measured change over time of the physical property and/or storing a change value based on the measure change over time of the physical property. The ion beam source comprises the heating wire, a metal reservoir mechanically connected to the heating wire, and the tip mechanically connected to the metal reservoir.
A method generates an image processing model to calculate a virtually stained image from a microscope image. The image processing model is trained using training data comprising microscope images as input data into the image processing model and target images that are formed via chemically stained images registered locally in relation to the microscope images. The image processing model is trained to calculate virtually stained images from the input microscope images by optimizing an objective function that captures a difference between the virtually stained images and the target images. After a number of training steps, at least one weighting mask is defined using one of the chemically stained images and an associated virtually stained image calculated after the number of training steps. In the weighting mask, one or more image regions are weighted based on differences between locally corresponding image regions in the virtually stained image and in the chemically stained image. Subsequent training considers the weighting mask in the objective function.
G06V 10/26 - Segmentation de formes dans le champ d’imageDécoupage ou fusion d’éléments d’image visant à établir la région de motif, p. ex. techniques de regroupementDétection d’occlusion
G06T 5/20 - Amélioration ou restauration d'image utilisant des opérateurs locaux
G06V 10/75 - Organisation de procédés de l’appariement, p. ex. comparaisons simultanées ou séquentielles des caractéristiques d’images ou de vidéosApproches-approximative-fine, p. ex. approches multi-échellesAppariement de motifs d’image ou de vidéoMesures de proximité dans les espaces de caractéristiques utilisant l’analyse de contexteSélection des dictionnaires
G06V 10/774 - Génération d'ensembles de motifs de formationTraitement des caractéristiques d’images ou de vidéos dans les espaces de caractéristiquesDispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant l’intégration et la réduction de données, p. ex. analyse en composantes principales [PCA] ou analyse en composantes indépendantes [ ICA] ou cartes auto-organisatrices [SOM]Séparation aveugle de source méthodes de Bootstrap, p. ex. "bagging” ou “boosting”
G06V 10/776 - ValidationÉvaluation des performances
G06V 10/82 - Dispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant les réseaux neuronaux
76.
METHOD FOR GENERATING AN OVERVIEW IMAGE OF AN OBJECT
Generating an overview image of an object includes, during a first capture duration, scanning regions of the object along a trajectory with illumination radiation, where the trajectory is chosen individually on the basis of properties of the object. First images of the object which together with position data (x, y, z) of an absolute distance measurement system are stored as an individual overview image are captured during the scanning of the trajectory. During a second capture duration, at least regions of the object are scanned with illumination radiation, and second images are captured; regions of the object which have already been imaged during the first capture duration are not imaged again. The first images captured during the first capture duration and the second images captured during the second capture duration are merged to form a resultant overview image of the object.
The invention relates to a method for determining a position of an object in a beam apparatus which has a processor unit and which is used for processing, imaging and/or analyzing an object. The method has the following steps: (i) providing firstly a predefinable region of an object and secondly a marking in the beam apparatus, wherein the predefinable region has a first position in relation to the marking, and wherein the first position is given by a first distance and a second distance; (ii) rotating the object or rotating a capture device of the beam apparatus; (iii) determining a further second distance; and (iv) determining a second position of the predefinable region of the object in relation to the marking using the first distance, the second distance and the further second distance.
Particle beam systems, for example electron beam microscopes, exhibit improved resolution in a first direction by manipulating a beam of charged particles so that the beam has a non-circular beam profile in a focal plane of an objective lens. Multiple images of a sample can be recorded at different orientations of the beam profile relative to the sample, and the recorded images can be synthesized using non-uniform spatial-frequency weights to obtain an image of the sample having improved resolution in any direction. The orientation of the beam profile can be adjusted to a target orientation depending on a structure on a sample prior to recording an image of the sample, thereby making it possible to achieve highest resolution in a selected direction of interest.
The invention relates to a microscope having: a light source for emitting excitation light; an illumination beam path for directing the excitation light onto and/or into a sample; a scanning device for varying a location exposed to the excitation light on and/or in the sample; at least one two-dimensionally spatially resolving detector for detecting light radiated by the sample; a detection beam path with a microscope objective for directing at least some of the light radiated by the sample to the detector; and a control unit for controlling the scanning device and for evaluating measurement data from the detector. According to the invention, the microscope is characterised in that a detection unit is present that contains the detector and has optics of variable focal length for reproducing the sample with variable magnification on the detector and a controllable and optionally activatable dispersing device for spectrally separating at least some of the light radiated by the sample, wherein the control unit is also configured to control the dispersing device.
A microscopy system forms a result image from a microscope image using an ordinal classification model. The ordinal classification model comprises classifiers and is defined by a training designed as follows: predetermined microscope images are input into the ordinal classification model in the training; a target image is given for each predetermined microscope image, wherein binary masks are generated from each target image via a comparison with pixel threshold values; the binary masks are used in the training as classification targets of the classifiers. The training of different classifiers differs in the pixel threshold value that is used to generate the classification targets; In the training, discrepancies between the classification masks and the binary masks are reduced. After the training, each classifier calculates a classification mask for a microscope image to be processed; these classification masks are combined into a result image.
G06V 10/774 - Génération d'ensembles de motifs de formationTraitement des caractéristiques d’images ou de vidéos dans les espaces de caractéristiquesDispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant l’intégration et la réduction de données, p. ex. analyse en composantes principales [PCA] ou analyse en composantes indépendantes [ ICA] ou cartes auto-organisatrices [SOM]Séparation aveugle de source méthodes de Bootstrap, p. ex. "bagging” ou “boosting”
G06T 5/50 - Amélioration ou restauration d'image utilisant plusieurs images, p. ex. moyenne ou soustraction
G06V 10/82 - Dispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant les réseaux neuronaux
G06V 20/69 - Objets microscopiques, p. ex. cellules biologiques ou pièces cellulaires
G06V 20/70 - Étiquetage du contenu de scène, p. ex. en tirant des représentations syntaxiques ou sémantiques
81.
Microscopy System and Computer-Implemented Method for Determining a Confidence of a Calculated Classification
In a computer-implemented method for determining a confidence of a calculated classification, a microscope image is processed with an ordinal classification model, which calculates a classification with respect to classes that form an order. The ordinal classification model comprises a plurality of binary classifiers which, instead of calculating classification estimates with respect to the classes, calculate classification estimates with respect to cumulative auxiliary classes, wherein the cumulative auxiliary classes differ in how many consecutive classes of the order are combined. The classification is calculated from the classification estimates of the binary classifiers. A confidence of the classification is determined based on a consistency of the classification estimates of the binary classifiers.
G06V 20/69 - Objets microscopiques, p. ex. cellules biologiques ou pièces cellulaires
G06V 10/776 - ValidationÉvaluation des performances
G06V 10/82 - Dispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant les réseaux neuronaux
82.
Method and device for preparing a microscopic sample from a volume sample
A method prepares a microsample from a volume sample using multiple particle beams. The method includes providing a volume sample in the microscope system, wherein the interior of the volume sample has a sample region of interest, and producing a macrolamella comprising the sample region of interest by removing sample material of the volume sample using one of the particle beams. The method also includes orienting the macrolamella relative to one of the particle beams, and removing sample material of the macrolamella via a beam so that the region of interest is exposed.
A method and apparatus for light field microscopy, wherein the following method steps are performed: a) measuring an image data record of a sample using a light field arrangement; b) creating at least one partial data record from the image data record; c) reconstructing a three-dimensional object from the partial data record created in step b).
H04N 23/951 - Systèmes de photographie numérique, p. ex. systèmes d'imagerie par champ lumineux en utilisant plusieurs images pour influencer la résolution, la fréquence d'images ou le rapport de cadre
H04N 23/957 - Caméras ou modules de caméras à champ lumineux ou plénoptiques
84.
MICROSCOPY SYSTEM AND METHOD FOR PROCESSING MICROSCOPY IMAGES
In a method for processing microscope images, at least a first image data set (30) of a microscope (10) is received. At least a first generative model (40) that describes the first image data set (30) is estimated with a first computing device (20) based on the first image data set (30). Either a first generated image data set (50) is generated by the first generative model (40) and transmitted to a data exploitation device (60), or the first generative model (40) is transmitted to a data exploitation device (60) and subsequently a first generated image data set (50) is generated by means of the first generative model (40). Generated image data of the first generated image data set (50) is entirely data generated from the first generative model (40) and does not comprise processed image data of the first image data set (30) captured by the microscope (10). The first generated image data set (50) is then exploited by means of the data exploitation device (60).
G06V 10/774 - Génération d'ensembles de motifs de formationTraitement des caractéristiques d’images ou de vidéos dans les espaces de caractéristiquesDispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant l’intégration et la réduction de données, p. ex. analyse en composantes principales [PCA] ou analyse en composantes indépendantes [ ICA] ou cartes auto-organisatrices [SOM]Séparation aveugle de source méthodes de Bootstrap, p. ex. "bagging” ou “boosting”
A method for creating a trench with a defined intended trench depth in a sample uses a particle beam system configured to create a particle beam to ablate material from the sample. An exemplary method comprises: defining a particle beam system setting which is a setting of the particle beam system for implementing an ablation unit step with the particle beam; acquiring calibration data records using the defined particle beam system setting on a calibration sample; determining a regression curve based on the acquired calibration data records, the regression curve being defined on the basis of at least one parameter that characterizes the ablation unit step; determining an implementation number based on the determined regression curve and the intended trench depth; and creating a trench in the sample by repeatedly implementing the ablation unit step with the particle beam system setting in accordance with the determined implementation number.
G01N 21/71 - Systèmes dans lesquels le matériau analysé est excité de façon à ce qu'il émette de la lumière ou qu'il produise un changement de la longueur d'onde de la lumière incidente excité thermiquement
G01N 23/2251 - Recherche ou analyse des matériaux par l'utilisation de rayonnement [ondes ou particules], p. ex. rayons X ou neutrons, non couvertes par les groupes , ou en mesurant l'émission secondaire de matériaux en utilisant des microsondes électroniques ou ioniques en utilisant des faisceaux d’électrons incidents, p. ex. la microscopie électronique à balayage [SEM]
86.
Method and device for preparing data for identifying analytes
A method for preparing data for identifying analytes in a sample, one or more analytes being colored with markers in multiple coloring rounds in an experiment, the markers in each case being specific for a certain set of analytes, the multiple markers being detected using a camera, which for each coloring round generates at least one image may contain color information of one or more markers, and the color information of the particular coloring rounds being stored for the evaluation.
A method for preparing data for identifying analytes by coloring one or more analytes with markers in multiple coloring rounds, the markers in each case being specific for a certain set of analytes, detecting multiple markers using a camera, which for each coloring round generates at least one image that contains multiple pixels and includes colored signals and uncolored signals, a colored signal being a pixel containing color information of a marker, and an uncolored signal being a pixel containing color information that is not based on a marker, and storing the images of the particular coloring rounds for evaluating the color information, a data point in each case including one or more contiguous pixels in the images of the multiple coloring rounds, which are assigned to the same location in a sample, wherein
each of the data points is assessed, based on the color information of at least the present image, for whether it may be a candidate data point, i.e., that it may contain colored signals and may thus encode an analyte, and
when the color information is stored, the color information of the data points of the images which are reliably not a candidate data point, based on the assessment, is eliminated.
A method for preparing data for identifying analytes by coloring one or more analytes with markers in multiple coloring rounds, the markers in each case being specific for a certain set of analytes, detecting multiple markers using a camera, which for each coloring round generates at least one image that includes multiple pixels to which a color value is assigned in each case as color information, and includes colored signals and uncolored signals, wherein a colored signal is a pixel containing color information of a marker, and an uncolored signal is a pixel containing color information that is not based on a marker. A data point in each case includes one or more contiguous pixels in the images of the multiple coloring rounds that are assigned to the same location in a sample.
A method for identifying analytes in an image series, the image series being generated by marking the analytes with markers in multiple coloring rounds and detecting the markers using a camera. The markers are selected in such a way that image signals of an analyte in an image area over the image series include colored signals and uncolored signals. The method comprises extracting multiple signal series of an image area of the image series in each case and filtering out candidate signal series from the extracted signal series. A ratio of at least one of the colored and/or uncolored signals of a candidate signal series to at least one other of the colored and/or uncolored signals of the particular signal series is a characteristic ratio, and/or a candidate signal series has a characteristic signature that has at least one characteristic ratio.
G06T 7/90 - Détermination de caractéristiques de couleur
G06V 10/762 - Dispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant le regroupement, p. ex. de visages similaires sur les réseaux sociaux
90.
Method and apparatus for determining a signal composition of signal series from an image series
Method for determining a signal composition of signal series of an image series with an analyte data evaluation system, wherein the image series is generated by marking analytes with markers in a plurality of coloring rounds and detecting the markers with a camera, the camera acquires an image of the image series in each coloring round, the markers being selected in such a way that the signal series of analytes in an image area across the image series comprise colored and uncolored signals, and that the signal series of different analyte types each have a specific sequence of colored signals and uncolored signals, and the different analyte types can be identified based on the specific sequences, comprising: receiving the signal series; importing a codebook, wherein the codebook comprises a target series for all signal components and the target series comprise analyte target series.
G06T 7/194 - DécoupageDétection de bords impliquant une segmentation premier plan-arrière-plan
G06T 7/90 - Détermination de caractéristiques de couleur
G06V 10/762 - Dispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant le regroupement, p. ex. de visages similaires sur les réseaux sociaux
G06V 10/774 - Génération d'ensembles de motifs de formationTraitement des caractéristiques d’images ou de vidéos dans les espaces de caractéristiquesDispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant l’intégration et la réduction de données, p. ex. analyse en composantes principales [PCA] ou analyse en composantes indépendantes [ ICA] ou cartes auto-organisatrices [SOM]Séparation aveugle de source méthodes de Bootstrap, p. ex. "bagging” ou “boosting”
G06V 10/82 - Dispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant les réseaux neuronaux
91.
APPARATUS AND METHOD FOR DYNAMICALLY ADJUSTING A LIGHT RAY
An apparatus and method for adjusting a light ray (13) in a beam path of a microscope. The apparatus includes a plate (3) arranged in the beam path and transparent to the wavelength range of the light ray (13) to be adjusted; a first drive (5) for generating a tilt movement of the plate (3) about a first axis (7) directed orthogonally to the beam path; and a second drive (8) for generating for generating a tilt movement of the plate (3) about a second axis (9) directed both orthogonally to the beam path and orthogonally to the first axis (7). The first axis (7) and the second axis (9) are directed through a centre of the plate (3); the actuating forces caused by the first drive (5) are transferred to the plate (3) by means of a lever (10); the first drive (5) and the second drive (8) are arranged within an angular range of 180° about the optical axis (2) of the beam path; and the plate (3) can be tilted about each of the axes (7, 9) by an absolute angular value of up to 70° about a zero position.
G02B 26/08 - Dispositifs ou dispositions optiques pour la commande de la lumière utilisant des éléments optiques mobiles ou déformables pour commander la direction de la lumière
92.
Method and apparatus for assigning image areas from image series to result classes by means of analyte data evaluation system with processing model
A method for assigning image areas of an image series to result classes by means of a processing model that was trained to assign image areas from the image series to a result class. The image series is generated by marking analytes with markers in a plurality of coloring rounds and detecting the markers with a camera. The camera captures or acquires an image of the image series in each coloring round, and the markers are selected in such a way that the signal series of analytes in an image area across the image series include colored signals and uncolored signals. The colored and uncolored signals of the analyte signal series have at least one particular ratio of one of the colored and/or uncolored signals of the respective signal series.
G06V 10/764 - Dispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant la classification, p. ex. des objets vidéo
G06V 10/82 - Dispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant les réseaux neuronaux
93.
Method and device for preparing data for identifying analytes
A method for preparing data for identifying analytes in a sample, in which in an experiment one or more analytes are colored with markers in multiple coloring rounds, the markers in each case being specific for a certain set of analytes, detecting the multiple markers using a camera, which for each coloring round generates at least one image containing multiple pixels and color values assigned thereto, the image including colored signals and uncolored signals, wherein a colored signal is a pixel having a color value that originates from a marker, and an uncolored signal is a pixel having a color value that is not based on a marker, and storing the color information of the particular coloring rounds for evaluating the color information.
A method for preparing data for identifying analytes by coloring one or more analytes with markers in multiple coloring rounds, the markers in each case being specific for a certain set of analytes, detecting multiple markers using a camera, which for each coloring round generates at least one image containing multiple pixels and color values assigned thereto, which may contain color information of one or more markers, and storing the color information of the particular coloring rounds for evaluating the color information, a data point in each case including one or more contiguous pixels in the images of the multiple coloring rounds that are assigned to the same location in a sample.
A method for preparing data for identifying analytes by coloring one or more analytes with markers in multiple coloring rounds, the markers in each case being specific for a certain set of analytes, detecting multiple markers using a camera, which for each coloring round generates at least one image that includes multiple pixels and that may contain color information of one or more markers, and storing the images of the particular coloring rounds stored for evaluating the color information,
wherein
the color values determined in the individual coloring rounds are clustered, according to their intensity values, in local or global clusters with similar intensity values, and only the clustered data are stored.
A method including the following: a) a light field microscope records at least one image of a sample, said image consisting of a set of partial images, b) at least one aberration of the imaging system of the light field microscope is specified by a user and/or established from a set of partial images recorded in step a), c) one or both of steps d) and e) are performed using the aberrations of the imaging system specified and/or established in step b): d) reconstructing a three-dimensional image of the sample from the set of partial images, wherein the aberrations of the imaging system which are specified and/or established in step b) are at least partially corrected; e) establishing improved settings of adjustable components of the imaging system which influence wavefronts of the propagated light, on the basis of the aberrations specified and/or established in step b). The invention also relates to a microscopy apparatus.
G02B 21/36 - Microscopes aménagés pour la photographie ou la projection
G02B 27/00 - Systèmes ou appareils optiques non prévus dans aucun des groupes ,
97.
METHOD FOR DETERMINING THE PHASE AND/OR REFRACTIVE INDEX OF A REGION OF AN OBJECT, AND MICROSCOPE FOR DETERMINING THE PHASE AND/OR REFRACTIVE INDEX OF A REGION OF AN OBJECT
In a method for determining the phase and/or refractive index of a region of an object, the object region is illuminated with coherent or partly coherent light and is imaged into the image plane a number of times with different imaging properties and is recorded in order to obtain a plurality of intensity recordings of the object region. The phase and/or refractive index determination is carried out based upon the plurality of intensity recordings. The different imaging properties differ at least in terms of different phase shifts which are additionally introduced into the imaging beam path, and which are generated differently than by changing the focusing when carrying out the recordings. The different phase shifts which are additionally introduced into the imaging beam path are effected by introducing at least one optical element into the objective and/or manipulating at least one optical element of the objective.
A method for preparing a volume of interest from a bulk sample uses a particle beam system configured to accommodate and to image the bulk sample and configured to provide a particle beam for the removal of material from the bulk sample. Moreover, the particle beam system is configured to define trimming regions. A trimming region determines location and size of a volume to be removed from the bulk sample.
