Invention Grant
- Patent Title: Identifying candidate cells using image analysis with intensity levels
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Application No.: US17940582Application Date: 2022-09-08
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Publication No.: US11866791B2Publication Date: 2024-01-09
- Inventor: Huangpin B. Hsieh , XiaoMing Wang , Jr-Ming Lai , Rui Mei , Hung-Jen Shao , Jen-Chia Wu
- Applicant: CellMax Ltd.
- Applicant Address: KY Grand Cayman
- Assignee: CellMax Ltd.
- Current Assignee: CellMax Ltd.
- Current Assignee Address: US CA Sunnyvale
- Agency: Fish & Richardson P.C.
- The original application number of the division: US16740799 2020.01.13
- Main IPC: G06K9/00
- IPC: G06K9/00 ; C12Q1/6886 ; G01N15/14 ; G01N33/574 ; G01N33/50 ; G01N1/31 ; G01N33/58 ; C12Q1/6883 ; G06T7/00

Abstract:
Techniques for identifying and enumerating candidate target cells within a biological fluid specimen are described. A digital image of the biological fluid specimen is received, and one or more candidate regions of pixels in the digital image are identified by identifying connected regions of pixels of a minimum intensity having a size between a minimum size and a maximum size and an aspect ratio that meets a threshold. For each candidate region of at least one of the one or more candidate region, whether the portion of the image corresponding to the candidate region includes more than a threshold number of intensity levels is determined. If the portion of the image corresponding to the candidate region includes more than the threshold number of intensity levels the portion of the image is continued to be treated as a candidate for classification.
Public/Granted literature
- US20230002834A1 IDENTIFYING CANDIDATE CELLS USING IMAGE ANALYSIS WITH INTENSITY LEVELS Public/Granted day:2023-01-05
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