公开(公告)号：US20240331417A1

公开(公告)日：2024-10-03

申请号：US18610349

申请日：2024-03-20

Applicant: Leica Microsystems CMS GmbH

Inventor： Constantin KAPPEL

IPC: G06V20/69 ,  G06V10/766 ,  G06V10/774 ,  G06V10/778

CPC classification number: G06V20/698 ,  G06V10/766 ,  G06V10/774 ,  G06V10/7792 ,  G06V20/693 ,  G06V20/695

Abstract: A method, system, and computer program for processing images of an optical imaging device and for training one or more machine-learning models. A method for processing images of an optical imaging device comprises obtaining embeddings of a plurality of candidate molecules, obtaining, for each candidate molecule, one or more images of the optical imaging device, the one or more images showing a visual representation of a target property exhibited by the candidate molecule in a biological sample, processing, using a machine-learning model, for each candidate molecule, the one or more images and/or information derived from the one or more images to generate a predicted embedding of the candidate molecule. The machine-learning model is trained to output the predicted embedding for an input comprising the one or more images and/or the information derived from the one or more images.

公开(公告)号：US20240331348A1

公开(公告)日：2024-10-03

申请号：US18737862

申请日：2024-06-07

Applicant: 10x Genomics, Inc.

Inventor： Felice Alessio BAVA ,  David Hoffman ,  Elijah Roberts

IPC: G06V10/60 ,  G06T3/40 ,  G06T7/70 ,  G06V10/10 ,  G06V20/69

CPC classification number: G06V10/60 ,  G06T3/40 ,  G06T7/70 ,  G06V10/19 ,  G06V20/693

Abstract: Methods and systems for performing multi-resolution in situ decoding are described. The method may comprise, for example, acquiring at least one first image of a biological sample at a first optical resolution; identifying locations for a plurality of target analytes based on the at least one first image; acquiring at least one second image of the biological sample at a second optical resolution in at least one decoding cycle of a plurality of decoding cycles used for in situ decoding of the target analytes; and extracting signal intensity data for signals associated with all or a portion of the target analytes from the at least one second image based on the locations for the target analytes identified in the at least one first image. In some instances, the method may further comprise using the signal intensity data extracted from the at least one second image to decode the target analytes.

公开(公告)号：US12106552B2

公开(公告)日：2024-10-01

申请号：US17261542

申请日：2019-03-29

Applicant: THE REGENTS OF THE UNIVERSITY OF CALIFORNIA

Inventor： Aydogan Ozcan ,  Yair Rivenson ,  Zhensong Wei

IPC: G06V10/82 ,  G06F18/214 ,  G06N3/08 ,  G06V10/764 ,  G06V20/69

CPC classification number: G06V10/82 ,  G06F18/2148 ,  G06F18/2155 ,  G06N3/08 ,  G06V10/764 ,  G06V20/693 ,  G06V20/698

Abstract: A deep learning-based digital staining method and system are disclosed that provides a label-free approach to create a virtually-stained microscopic images from quantitative phase images (QPI) of label-free samples. The methods bypass the standard histochemical staining process, saving time and cost. This method is based on deep learning, and uses a convolutional neural network trained using a generative adversarial network model to transform QPI images of an unlabeled sample into an image that is equivalent to the brightfield image of the chemically stained-version of the same sample. This label-free digital staining method eliminates cumbersome and costly histochemical staining procedures, and would significantly simplify tissue preparation in pathology and histology fields.

公开(公告)号：US20240290115A1

公开(公告)日：2024-08-29

申请号：US18564958

申请日：2022-05-31

Applicant: Micro TechniX

Inventor： Wouter CHRISTIAENS

IPC: G06V20/69 ,  G06V10/143 ,  G06V10/774

CPC classification number: G06V20/698 ,  G06V10/143 ,  G06V10/774 ,  G06V20/693

Abstract: An invention disclosing a device and method for the counting and identification of bacterial, mold or yeast colonies based on hyperspectral image capture and processing. A device for acquisition of hyperspectral images comprising camera capable of hyperspectral imaging, a hole inspection lens array and a light source arranged in or around a light housing is described. A method comprising a deep learning algorithm is made available for the processing of acquired hyperspectral data in order to detect, identify and count bacterial, mold or yeast samples contained within a Petri dish. In particular, the use of a hole inspection lens array allows acquisition of hyperspectral images of the complete inner surface of a Petri dish which, combined with the use of a deep learning algorithm ensure a high level of accuracy and sampling frequency.

公开(公告)号：US20240240225A1

公开(公告)日：2024-07-18

申请号：US18538460

申请日：2023-12-13

Applicant: BD KIESTRA B.V.

Inventor： Raphael Rodolphe Marcelpoil

IPC: C12Q1/18 ,  C12Q1/20 ,  G01N21/17 ,  G06T7/00 ,  G06T7/11 ,  G06T7/90 ,  G06V20/69

CPC classification number: C12Q1/18 ,  C12Q1/20 ,  G01N21/17 ,  G06T7/0016 ,  G06T7/11 ,  G06T7/90 ,  G06V20/69 ,  G06V20/693 ,  G06V20/695

Abstract: An imaging system and method provides automated microbial growth detection for antibiotic sensitivity testing. A processing system having an image sensor for capturing images of an inoculated culture plate having antibiotic disks disposed on the culture media captures images of the plate at separate times (e.g., first and second images). The system generates pixel characteristic data for pixels of the second image from a comparison of the first image and second image. The pixel characteristic data may be indicative of plate growth. The system may access growth modeling data concerning the antibiotic disk(s) and generate simulated image data with a growth model function. The growth model function uses the growth modeling data. The simulated image data simulates growth on the plate relative to the disk(s). The system compares the simulated image and the pixel characteristic data to identify pixel region(s) of the second image that differ from the simulated image.

公开(公告)号：US12039795B2

公开(公告)日：2024-07-16

申请号：US17414191

申请日：2019-12-19

Applicant: BD KIESTRA B.V.

Inventor： Raphael Rodolphe Marcelpoil

IPC: G06V20/69 ,  C12Q1/06 ,  C12Q1/08 ,  G06T7/194 ,  G06T7/62 ,  G06V10/24 ,  G06V10/50

CPC classification number: G06V20/69 ,  C12Q1/06 ,  C12Q1/08 ,  G06T7/194 ,  G06T7/62 ,  G06V10/24 ,  G06V10/507 ,  G06V20/693 ,  G06V20/695 ,  G06V20/698

Abstract: An imaging method for earliest microbial growth detection. The method uses images to determined colony biomass, and the colony biomass determines when the colony can be picked for analysis for identification or antibiotic susceptibility testing. If the sample source is not a pure sample source additional incubation may be required to permit an increase in biomass of the colonies prior to pick.

公开(公告)号：US12032150B2

公开(公告)日：2024-07-09

申请号：US18452540

申请日：2023-08-20

Applicant: Hemotech Cognition, LLC

Inventor： Theodore F. Bayer ,  Randall E. Wilcox ,  Patrick Walsh

IPC: G02B21/36 ,  G01N33/49 ,  G06N20/00 ,  G06V20/69

CPC classification number: G02B21/367 ,  G01N33/49 ,  G06N20/00 ,  G06V20/693

Abstract: A system and method for analyzing bodily fluid include a sample holder holding a bodily fluid sample, an image capture device generating an image of the bodily fluid sample comprising a plurality of fields of view. An image processor is programmed to determine a biofilm in the bodily fluid sample from the image, determine a biofilm area or volume within each of the plurality of fields of view to form a plurality of biofilm areas, determine a total biofilm area or total biofilm volume by adding the plurality of biofilm areas, determine a first value corresponding to a comparison of the total biofilm area or the total biofilm volume and a total volume of the bodily fluid sample, and classify the first value into a classification. An analyzer, using the classification, displays an indicator on a display for indicating the classification of the biofilm within the bodily fluid sample.

公开(公告)号：US20240219705A1

公开(公告)日：2024-07-04

申请号：US18608490

申请日：2024-03-18

Applicant: Academia Sinica

Inventor： Jung-Chi LIAO ,  Yi-De CHEN ,  Chih-Wei CHANG ,  Weng Man CHONG

IPC: G02B21/36 ,  G02B21/06 ,  G02B21/26 ,  G06V10/141 ,  G06V10/25 ,  G06V20/69 ,  H04N23/56 ,  H04N23/74

CPC classification number: G02B21/365 ,  G02B21/06 ,  G02B21/26 ,  G06V10/141 ,  G06V10/25 ,  G06V20/693 ,  H04N23/56 ,  H04N23/74

Abstract: A system and method for image-guided microscopic illumination are provided. A processing module controls an imaging assembly such that a camera acquires an image or images of a sample in multiple fields of view, and the image or images are automatically transmitted to a processing module and processed by the first processing module automatically in real-time based on a predefined criterion so as to determine coordinate information of an interested region in each field of view. The processing module also controls an illuminating assembly to illuminate the interested region of the sample according to the received coordinate information regarding to the interested region, with the illumination patterns changing among the fields of view.

公开(公告)号：US12013333B2

公开(公告)日：2024-06-18

申请号：US18101769

申请日：2023-01-26

Applicant: CooperSurgical, Inc.

Inventor： Joseph Gordon ,  John Glaberson ,  Tara Pratap Ebsworth ,  Patrick N. Gutelius

IPC: G06K9/00 ,  A61K35/12 ,  G01N1/40 ,  G01N1/42 ,  G01N21/07 ,  G01N21/85 ,  G01N35/00 ,  G06T5/70 ,  G06T7/00 ,  G06T7/20 ,  G06T7/70 ,  G06V10/30 ,  G06V10/56 ,  G06V20/69 ,  H04N23/54 ,  H04N23/55 ,  H04N23/56

CPC classification number: G01N21/07 ,  G01N1/4077 ,  G01N1/42 ,  G01N21/85 ,  G01N35/00732 ,  G06T5/70 ,  G06T7/0012 ,  G06T7/20 ,  G06T7/70 ,  G06V10/30 ,  G06V10/56 ,  G06V20/693 ,  G06V20/695 ,  H04N23/54 ,  H04N23/55 ,  H04N23/56 ,  G01N2001/4083 ,  G01N2201/062 ,  G06T2207/30024

Abstract: A specimen processing system includes a plate for supporting a specimen system, wherein the specimen system includes a container and a specimen contained therein. The specimen processing system further includes a camera disposed above the plate and configured to generate images of the specimen system, a light source disposed beneath the plate for radiating light towards the plate, a light stop for blocking a portion of the light from reaching the specimen system to produce darkfield illumination of the specimen at the camera, and one or more processors electronically coupled to the camera and configured to track a position of the specimen within the specimen container during a specimen processing protocol based on the images.

公开(公告)号：US11972620B2

公开(公告)日：2024-04-30

申请号：US17076008

申请日：2020-10-21

Applicant: Cytek Biosciences, Inc.

Inventor： Alan Li ,  Shobana Vaidyanathan

IPC: G06V20/69 ,  G01N15/14 ,  G06T7/00 ,  G06T7/11

CPC classification number: G06V20/698 ,  G01N15/1475 ,  G06T7/0012 ,  G06T7/11 ,  G06V20/693 ,  G06V20/695 ,  G06T2207/10064 ,  G06T2207/30024 ,  G06V2201/03

Abstract: A classifier engine provides cell morphology identification and cell classification in computer-automated systems, methods and diagnostic tools. The classifier engine performs multispectral segmentation of thousands of cellular images acquired by a multispectral imaging flow cytometer. As a function of imaging mode, different ones of the images provide different segmentation masks for cells and subcellular parts. Using the segmentation masks, the classifier engine iteratively optimizes model fitting of different cellular parts. The resulting improved image data has increased accuracy of location of cell parts in an image and enables detection of complex cell morphologies in the image. The classifier engine provides automated ranking and selection of most discriminative shape based features for classifying cell types.