公开(公告)号：US12130588B2

公开(公告)日：2024-10-29

申请号：US17767959

申请日：2020-10-13

Applicant: miDiagnostics NV

Inventor： Florence Yellin ,  Benjamin D. Haeffele ,  Rene Vidal

IPC: G06V20/69 ,  G03H1/04 ,  G06V10/147 ,  G06V10/75

CPC classification number: G03H1/0443 ,  G06V10/147 ,  G06V10/751 ,  G06V20/69 ,  G06V20/693 ,  G06V20/698

Abstract: Systems and methods for detecting objects in a holographic image are provided. The techniques include obtaining a holographic image having one or more objects depicted therein. A set of object templates is obtained. The set of object templates represents objects to be detected in the holographic image. One or more objects are detected in the holographic image using the set of object templates by iteratively computing a phase (θ) of the optical wavefront at the hologram plane, background illumination (μ). and encoding coefficients (A) for the set of object templates, until converged.

公开(公告)号：US20240354935A1

公开(公告)日：2024-10-24

申请号：US18290594

申请日：2022-07-12

Applicant: SCREEN HOLDINGS CO., LTD.

Inventor： Shogo TOKISUE ,  Satoshi OKAMOTO ,  Hiroshi OGI ,  Tomoyasu FURUTA

IPC: G06T7/00 ,  G06T5/50 ,  G06V10/764 ,  G06V20/69

CPC classification number: G06T7/0012 ,  G06T5/50 ,  G06V10/764 ,  G06V20/698 ,  G06T2207/10056 ,  G06T2207/20221 ,  G06T2207/30024 ,  G06T2207/30044

Abstract: An image processing method according to the invention includes obtaining a plurality of original images at mutually different depths of focus captured by imaging the specimen, generating a composite image including images of the specimen included in each of the plurality of original images in one image plane, and inputting the composite image to a classification model constructed in advance and obtaining an output of the classification model. The classification model is constructed by performing machine learning in advance using teacher images including a plurality of images of same cell or cell mass and having mutually different depths of focus in one image plane. It is possible to obtain useful information on the specimen automatically from a plurality of images obtained by imaging the specimen including a cell at mutually different depths of focus.

公开(公告)号：US12125560B2

公开(公告)日：2024-10-22

申请号：US18078803

申请日：2022-12-09

Applicant: FenoLogica Biosciences, Inc.

Inventor： Matthew Ian Wright ,  Adrian Christopher Scott ,  Sean Matthew MacLeod ,  Megan Lew Kuhn

IPC: G16B40/30 ,  C12M1/36 ,  G01N15/10 ,  G01N15/1429 ,  G01N15/1433 ,  G06V20/69 ,  G16B45/00 ,  G16H10/40 ,  G16H30/40

CPC classification number: G16B40/30 ,  C12M41/48 ,  G06V20/695 ,  G06V20/698 ,  G16B45/00 ,  G16H10/40 ,  G01N2015/1006 ,  G01N15/1429 ,  G01N15/1433 ,  G16H30/40

Abstract: An image acquisition and analysis system are disclosed. The system enables high throughput, objective analysis of microbial samples over days or weeks. The system may accommodate upwards of twelve 96- or 384-well plates simultaneously (liquid or solid media). The system may acquire and analyze a large number of samples in a short period of time. For example, over 384 samples per minute or 18,432 samples per hour. The system hardware may include a multi-spectral imager (fluorescence and bright field detection), electro-mechanical assemblies, and an optional high-resolution stage. The system may automate image acquisition, image data processing, simplify data storage, and enable automated analysis tools to significantly reduce the manual labor and time associated with such tasks. The system may allow for quick processing and analysis of data into clear phenotypic classes. The analysis capabilities may include colony growth, colorimetry, and structural morphology assays, and automated phenotype classification capabilities.

公开(公告)号：US20240346810A1

公开(公告)日：2024-10-17

申请号：US18619652

申请日：2024-03-28

Applicant: Abberior Instruments GmbH

Inventor： Jorn HEINE ,  Matthias REUSS

IPC: G06V10/776 ,  G02B21/36 ,  G06V10/764 ,  G06V10/82 ,  G06V20/69

CPC classification number: G06V10/776 ,  G02B21/365 ,  G06V10/764 ,  G06V10/82 ,  G06V20/693 ,  G06V20/698

Abstract: The disclosure relates to a light microscopy method comprising acquiring first light microscopic data of a sample in a first acquisition mode, recognizing an object in the sample from the first light microscopic data and assigning the object to an object class using a first artificial intelligence method, determining a confidence value for the recognized object, comparing the confidence value with a predetermined confidence value threshold if the confidence value is below the confidence value threshold, acquiring second light microscopic data in a second acquisition mode and verifying the assignment of the object to the object class based on the second light microscopic data, as well as a device and a computer program product for carrying out the method.

公开(公告)号：US12118721B2

公开(公告)日：2024-10-15

申请号：US18100543

申请日：2023-01-23

Applicant: Owkin Inc. ,  Owkin France SAS

Inventor： Pierre Courtiol ,  Olivier Moindrot ,  Charles Maussion ,  Charlie Saillard ,  Benoit Schmauch ,  Gilles Wainrib

IPC: G06T7/00 ,  G06F18/21 ,  G06F18/214 ,  G06F18/23 ,  G06F18/2413 ,  G06N3/04 ,  G06T7/11 ,  G06T7/194 ,  G06V10/32 ,  G06V10/50 ,  G06V10/764 ,  G06V10/82 ,  G06V20/69

CPC classification number: G06T7/0012 ,  G06F18/214 ,  G06F18/2163 ,  G06F18/217 ,  G06F18/23 ,  G06F18/2413 ,  G06N3/04 ,  G06T7/11 ,  G06T7/194 ,  G06V10/32 ,  G06V10/50 ,  G06V10/764 ,  G06V10/82 ,  G06V20/695 ,  G06V20/698 ,  G06T2207/10056 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/30024

Abstract: A method and apparatus of a device that classifies an image is described. In an exemplary embodiment, the device segments the image into a region of interest that includes information useful for classification and a background region by applying a first convolutional neural network. In addition, the device tiles the region of interest into a set of tiles. For each tile, the device extracts a feature vector of that tile by applying a second convolutional neural network, where the features of the feature vectors represent local descriptors of the tile. Furthermore, the device processes the extracted feature vectors of the set of tiles to classify the image.

公开(公告)号：US12099003B2

公开(公告)日：2024-09-24

申请号：US18312241

申请日：2023-05-04

Applicant: VIAVI Solutions Inc.

Inventor： ChangMeng Hsiung ,  Christopher G. Pederson ,  Marc K. Von Gunten ,  Lan Sun

IPC: G01N21/35 ,  G01J3/10 ,  G01N21/25 ,  G01N21/359 ,  G06F18/2411 ,  G06F18/2433 ,  G06N20/00 ,  G06V20/69 ,  G16C20/20 ,  G16C20/70

CPC classification number: G01N21/35 ,  G01J3/108 ,  G01N21/253 ,  G01N21/359 ,  G06F18/2411 ,  G06F18/2433 ,  G06N20/00 ,  G06V20/698 ,  G16C20/20 ,  G16C20/70 ,  G01N2201/129

Abstract: A device may receive information identifying results of a set of spectroscopic measurements of a training set of known samples and a validation set of known samples. The device may generate a classification model based on the information identifying the results of the set of spectroscopic measurements, wherein the classification model includes at least one class relating to a material of interest for a spectroscopic determination, and wherein the classification model includes a no-match class relating to at least one of at least one material that is not of interest or a baseline spectroscopic measurement. The device may receive information identifying a particular result of a particular spectroscopic measurement of an unknown sample. The device may determine whether the unknown sample is included in the no-match class using the classification model. The device may provide output indicating whether the unknown sample is included in the no-match class.

公开(公告)号：US20240290117A1

公开(公告)日：2024-08-29

申请号：US18586622

申请日：2024-02-26

Applicant: LEICA MICROSYSTEMS CMS GMBH

Inventor： Luis ALVAREZ ,  Frank HECHT ,  Julia ROBERTI ,  Giulia OSSATO

IPC: G06V20/69 ,  G01N21/64 ,  G06V10/25

CPC classification number: G06V20/698 ,  G01N21/6408 ,  G01N21/6458 ,  G06V10/25 ,  G06V20/693 ,  G06V20/695

Abstract: A processor for lifetime-based unmixing in fluorescence microscopy is configured to acquire an image having a plurality of pixels, each pixel providing information on photon count and photon arrival times, generate a phasor plot that is a vector space representation of the image, partition the image into image segments, evaluate the image segments according to total photon counts of the corresponding subsets of pixels, and execute a lifetime classification by selecting an image segment having a largest total photon count, determining a region of interest in the image encompassing the image segment, determining a phasor subset in the phasor plot corresponding to the region of interest, and generating a lifetime class including a set of image segments corresponding to the phasor subset. A plurality of lifetime classes is generated by iteratively executing the lifetime classification. The processor is configured to perform lifetime-based unmixing using the life-time classes.

公开(公告)号：US20240290116A1

公开(公告)日：2024-08-29

申请号：US18572629

申请日：2022-03-25

Applicant: HORIBA, LTD.

Inventor： Yasuhiro TATEWAKI

IPC: G06V20/69 ,  G01N15/0205 ,  G06V10/98

CPC classification number: G06V20/698 ,  G01N15/0211 ,  G06V10/993 ,  G06V20/695

Abstract: A particle analysis apparatus includes: an individual particle image generation unit that extracts individual particles from the original image and generates individual particle images; a particle characteristic calculation unit that calculates one or a plurality of types of particle characteristics for a particle in each of the individual particle images, based on the each of the individual particle images; a classification unit that classifies, with respect to a plurality of classes defined by some or all of the one or plurality of types of particle characteristics, the particles into the classes that correspond to the calculated one or plurality of particle characteristics; and an individual particle image storing unit that stores in a storage the individual particle images of particles belonging to each of the plurality of classes.

公开(公告)号：US20240282128A1

公开(公告)日：2024-08-22

申请号：US18567680

申请日：2021-12-31

Applicant: DONGJIANG ENVIRONMENTAL COMPANY LIMITED

Inventor： Zhibin LIU ,  Junqiang ZHU ,  Zengmeng YU ,  Zongwen ZHAO ,  Wenbin XU

IPC: G06V20/69 ,  G01N21/84

CPC classification number: G06V20/698 ,  G01N21/84 ,  G06V20/693 ,  G01N2021/8477

Abstract: The present disclosure relates to the technical field of resource utilization of ammonia-nitrogen wastewater and in particular to a system for determining an evaporation endpoint by image recognition in an evaporation and crystallization process of an ammonia-nitrogen wastewater. The key points of the technical scheme are as follows: the system includes an evaporator, a sampling platform, a data transmission module, and an image recognition system; the sampling platform is disposed below an evaporation interface of the evaporator to collect crystals dropping from the evaporation interface and collect image information of the crystals; the data transmission module is configured to transmit data of the sampling platform to the image recognition system; the image recognition system is configured to process the image information of the crystals obtained by the sampling platform and determine an evaporation and crystallization endpoint.

公开(公告)号：US20240281970A1

公开(公告)日：2024-08-22

申请号：US18654206

申请日：2024-05-03

Applicant: Lunit Inc.

Inventor： Ga Hee PARK ,  Kyung Hyun Paeng ,  Chan Young Ock ,  Sang Hoon Song ,  Suk Jun Kim

IPC: G06T7/00 ,  G06V20/69 ,  G16H15/00 ,  G16H30/40

CPC classification number: G06T7/0012 ,  G06V20/698 ,  G16H15/00 ,  G16H30/40 ,  G06T2207/30024 ,  G06T2207/30096 ,  G06T2207/30168 ,  G06T2207/30204 ,  G06V2201/03

Abstract: A computing device includes at least one memory, and at least one processor configured to analyze at least one object expressed in a pathological slide image, evaluate quality of the pathological slide image based on a result of the analyzing, and perform at least one additional operation according to a result of the evaluating.