公开(公告)号：US12110480B2

公开(公告)日：2024-10-08

申请号：US17256362

申请日：2019-07-04

Applicant: NIPRO CORPORATION ,  SAPPORO MEDICAL UNIVERSITY

Inventor： Osamu Honmou ,  Daiki Tateyama ,  Kosuke Takahashi ,  Kosei Tateyama ,  Yoshihiro Yoshikawa

IPC: C12M1/34 ,  C12M1/00 ,  G02B21/08 ,  G02B21/14 ,  G02B21/26 ,  G02B21/36 ,  G06V20/69

CPC classification number: C12M41/36 ,  C12M23/22 ,  C12M23/34 ,  C12M41/12 ,  G02B21/082 ,  G02B21/14 ,  G02B21/26 ,  G02B21/365 ,  G06V20/693 ,  G06V20/695

Abstract: An observation device includes a microscope. The microscope includes an illumination light beam source, an illumination optical system, and an observation optical system forming an optical image of an observation target from reflected light beams obtained by reflection of illumination light beams by the observation target. The observation optical system includes a phase plate changing the phase of directly reflected light beams reflected on a reflection surface among the reflected light beams. Both the illumination optical system and the observation optical system are arranged under the observation target. The observation device includes an image pickup device photoelectrically converting the optical image obtained by the observation optical system to create image data of the observation target and a display device displaying the image data. The illumination light beam emitted from the illumination optical system is a collimated light beam.

公开(公告)号：US20240320992A1

公开(公告)日：2024-09-26

申请号：US18619874

申请日：2024-03-28

Applicant: Cell Microsystems, Inc.

Inventor： Rachel Allysa STERN ,  Jessica Kessler HARTMAN ,  Steven Charles GEBHART ,  Caleb Macrae FLEMING ,  Brandon THOMPSON ,  Keith WILLIAMS ,  Robert W. MCCLELLAN

IPC: G06V20/69 ,  G06T7/11 ,  G06T7/162

CPC classification number: G06V20/698 ,  G06T7/11 ,  G06T7/162 ,  G06V20/693 ,  G06V20/695 ,  G06T2200/24 ,  G06T2207/10024 ,  G06T2207/10064 ,  G06T2207/20072 ,  G06T2207/30024

Abstract: A microwell array specifically designed for culturing organoids is provided along with a system to enable automated imaging, identification, and isolation of individual organoids. The microwells of the microarray include a releasable cellraft that enables the automated release and transfer of selected organoids present on the cellrafts to a separate collection plate. Organoids grown on the microarray can be reliably tracked, imaged, and phenotypically analyzed by the instrument system in brightfield and fluorescence as they grow over time, then released and transferred fully intact for use in downstream applications. The use of the system is demonstrated using mouse hepatic and pancreatic organoids for single-organoid imaging, clonal organoid generation, parent organoid subcloning, and single-organoid RNA extraction for downstream gene expression or transcriptomic analysis.

公开(公告)号：US12067716B2

公开(公告)日：2024-08-20

申请号：US17501712

申请日：2021-10-14

Applicant: GENENTECH, INC.

Inventor： Fang-Yao Hu

IPC: G06T7/00 ,  A61B5/00 ,  G06N3/08 ,  G06V10/25 ,  G06V10/94 ,  G06V20/69 ,  G16H30/20 ,  G16H30/40 ,  G16H50/20 ,  G16H50/30 ,  G16H50/70

CPC classification number: G06T7/0012 ,  A61B5/4325 ,  A61B5/4845 ,  A61B5/4848 ,  G06N3/08 ,  G06V10/25 ,  G06V10/95 ,  G06V20/693 ,  G16H30/20 ,  G16H30/40 ,  G16H50/20 ,  G16H50/30 ,  G16H50/70 ,  G06T2207/30024 ,  G06T2207/30242 ,  G06V2201/031

Abstract: The present disclosure relates to a deep learning neural network that can identify corpora lutea in the ovaries and a rules-based technique that can count the corpora lutea identified in the ovaries and infer an ovarian toxicity of a compound based on the count of the corpora lutea (CL). Particularly, aspects of the present disclosure are directed to obtaining a set of images of tissue slices from ovaries treated with an amount of a compound; generating, using a neural network model, the set of images with a bounding box around objects that are identified as the CL within the set of images based on coordinates predicted for the bounding box; counting the bounding boxes within the set of images to obtain a CL count for the ovaries; and determining an ovarian toxicity of the compound at the amount based on the CL count.

公开(公告)号：US20240233414A1

公开(公告)日：2024-07-11

申请号：US18585263

申请日：2024-02-23

Applicant: Memorial Sloan-Kettering Cancer Center

Inventor： Andrew SCHAUMBERG ,  Thomas FUCHS

IPC: G06V20/69 ,  G06V10/25 ,  G06V10/44 ,  G06V10/46 ,  G06V10/50 ,  G06V10/82 ,  G06V30/24

CPC classification number: G06V20/693 ,  G06V10/25 ,  G06V10/454 ,  G06V10/462 ,  G06V10/507 ,  G06V10/82 ,  G06V20/69 ,  G06V20/695 ,  G06V20/698 ,  G06V30/2504

Abstract: The present application relates generally to identifying regions of interest in images, including but not limited to whole slide image region of interest identification, prioritization, de-duplication, and normalization via interpretable rules, nuclear region counting, point set registration, and histogram specification color normalization. This disclosure describes systems and methods for analyzing and extracting regions of interest from images, for example biomedical images depicting a tissue sample from biopsy or ectomy. Techniques directed to quality control estimation, granular classification, and coarse classification of regions of biomedical images are described herein. Using the described techniques, patches of images corresponding to regions of interest can be extracted and analyzed individually or in parallel to determine pixels correspond to features of interest and pixels that do not. Patches that do not include features of interest, or include disqualifying features, can be disqualified from further analysis. Relevant patches can analyzed and stored with various feature parameters.

公开(公告)号：US20240203141A1

公开(公告)日：2024-06-20

申请号：US18083515

申请日：2022-12-17

Applicant: Prithviraj Pralhad Jadhav ,  Sandeep Arvind Kulkarni

Inventor： Prithviraj Pralhad Jadhav ,  Sandeep Arvind Kulkarni

IPC: G06V20/69 ,  G02B21/00 ,  G02B21/26 ,  G02B21/36 ,  G06T5/00 ,  G06V10/44

CPC classification number: G06V20/693 ,  G02B21/0036 ,  G02B21/008 ,  G02B21/26 ,  G02B21/365 ,  G06T5/002 ,  G06V10/44 ,  G06V20/695 ,  G06T2207/10056

Abstract: Disclosed herein is a computer-assisted photomicrographic image-processing method for automatic scanning, detection and classification of particles. In this method, tracking and analysis of objects of interest (namely, particulates), if any present and seen in one or more photographic images of the sample being analyzed, can be conveniently and rapidly undertaken on the basis of automated computational logic so provisioned.

公开(公告)号：US20240177447A1

公开(公告)日：2024-05-30

申请号：US18368348

申请日：2023-09-14

Applicant: Rishik Kolpekwar

Inventor： Rishik Kolpekwar

IPC: G06V10/56 ,  G06V20/69

CPC classification number: G06V10/56 ,  G06V20/693 ,  G06T2207/20081

Abstract: This invention accomplishes an improvement to nuclei counting through an automatic counting algorithm that labels the nuclei in the images for the reviewers similar to how an individual would analyze cancerous and non-cancerous nuclei. The invention then provides a manual review step to reanalyze the image through a semi-automatic user interface. In addition, the counting data is stored in image metadata and a condensed version of the modified images is created.

公开(公告)号：US11967182B2

公开(公告)日：2024-04-23

申请号：US18449412

申请日：2023-08-14

Applicant: SHIHEZI UNIVERSITY

Inventor： Jie Su ,  Chen Fang ,  Jianping Zhang ,  Jiamin Gu

IPC: G06V40/20 ,  G06T7/80 ,  G06V20/40 ,  G06V20/69 ,  A01K29/00

CPC classification number: G06V40/20 ,  G06T7/80 ,  G06V20/41 ,  G06V20/693 ,  G06V20/698 ,  A01K29/005 ,  G06T2207/10016 ,  G06T2207/30188

Abstract: An intelligent analysis system applied to ethology of various kinds of high-density minimal polypides is provided, including an operating platform subsystem and an analysis subsystem; the operating platform subsystem is used for providing an activity medium capable of obtaining behaviors of the minimal polypides and shooting the behaviors of the minimal polypides; the behavior collecting module in the analysis subsystem is used for obtaining an ethology video of the high-density minimal polypides through the operating platform subsystem; the analysis modeling module is used for obtaining ethology big data of various kinds of high-density minimal insects according to the ethology video, and establishing an ethology model; the simulation predicting module is used for dynamically predicting comprehensive control strategies and control effects of minimal pests in a field ecosystem according to the ethology model; the visual demonstrating module is used for displaying the above behavior data.

公开(公告)号：US20240094193A1

公开(公告)日：2024-03-21

申请号：US18449351

申请日：2023-08-14

Applicant: BOARD OF REGENTS, THE UNIVERSITY OF TEXAS SYSTEM

Inventor： Adela Ben-Yakar ,  Evan Hegarty ,  Sudip Mondal ,  Navid Ghorashian ,  Sertan Kutal Gökçe ,  Christopher Martin

IPC: G01N33/50 ,  B01L3/00 ,  G01N21/05 ,  G01N21/64 ,  G01N35/00 ,  G06V20/69

CPC classification number: G01N33/5085 ,  B01L3/502715 ,  B01L3/502723 ,  B01L3/502746 ,  B01L3/502761 ,  G01N21/05 ,  G01N21/6458 ,  G01N33/502 ,  G01N35/00029 ,  G01N35/00871 ,  G06V20/693 ,  G06V20/695 ,  B01L2200/0668 ,  B01L2300/023 ,  B01L2300/0654 ,  B01L2300/0816 ,  B01L2300/0864 ,  B01L2300/087 ,  B01L2300/14 ,  B01L2400/0487 ,  B01L2400/086 ,  G01N2021/6482 ,  G01N2035/00148 ,  G01N2201/12

Abstract: A microfluidic device capable of trapping contents in a manner suitable for high-throughput imaging is described herein. The microfluidic device may include one or more trapping devices, with each trapping device having a plurality of trapping channels. The trapping channels may be configured to receive contents via an inlet channel that connects a sample reservoir to the trapping channels via fluid communication. The trapping channels are shaped such that contents within the trapping channels are positioned for optimal imaging purposes. The trapping channels are also connect to at least one exit channel via fluid communication. The fluid, and contents within the fluid, maybe controlled via hydraulic pressure.

公开(公告)号：US20240062563A1

公开(公告)日：2024-02-22

申请号：US18088988

申请日：2022-12-27

Applicant: V5 TECHNOLOGIES CO., LTD. ,  Taipei Veterans General Hospital

Inventor： TZU-KUEI SHEN ,  LINDA SIANA ,  GUANG-HAO SUEN ,  LIANG-WEI SHEU ,  CHIEN-TING YANG ,  Yuh-Min Chen ,  Heng-sheng Chao ,  Chung-Wei Chou ,  Tsu-Hui Shiao ,  Yi-Han Hsiao ,  Chi-Lu Chiang

IPC: G06V20/69 ,  G06T7/00

CPC classification number: G06V20/693 ,  G06V20/698 ,  G06T7/0012 ,  G06T2207/30024 ,  G06T2207/10056

Abstract: A system and a method for determining characteristic cells based on image recognition. In the method, a scanning device capturing a full image of the microslide; a host selecting images that comprise stained blocks from the full image; the host sequentially performing image recognition to recognize stained cells of the images, and determining whether the stained cells comprise the characteristic cells with an AI model; and selecting interested images from the images that comprise the characteristic cells, transforming the coordinate system of the interested images into the original coordinate system of the full image, and employing the scanning device to capture the interested images along the Z axis of the original coordinate system of the full image, thereby obtaining and outputting sets of pictures. The present invention can quickly determine whether there are characteristic cells in the tissue under test, so as to provide a diagnostic reference for doctors.

公开(公告)号：US20240054798A1

公开(公告)日：2024-02-15

申请号：US18221408

申请日：2023-07-13

Applicant: Keyence Corporation

Inventor： Shingo MATSUMURA ,  Suguru SEKIYA ,  Kenta TO

IPC: G06V20/69 ,  G06V10/141 ,  G06T7/00

CPC classification number: G06V20/693 ,  G06V10/141 ,  G06T7/0014 ,  G06T2207/30242

Abstract: Counting accuracy of colonies is improved. A colony counting device captures a test individual to generate an image of the test individual, registers the image of the test individual in an initial state as a reference image, identifies a residue included in the reference image and identifies a position of the residue in a test image corresponding to the residue included in the reference image based on a displacement of each of two or more common characteristic portions between the reference image and the test image that is an image of the test individual after culturing, and counts the number of colonies while excluding the residue from a count as a colony based on the position of the residue.