- 专利标题: SYSTEMS AND METHODS FOR THE EARLY DETECTION AND CLASSIFICATION OF LIVE MICROORGANISMS USING TIME-LAPSE COHERENT IMAGING AND DEEP LEARNING
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申请号: US17793926申请日: 2021-01-27
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公开(公告)号: US20230060037A1公开(公告)日: 2023-02-23
- 发明人: Aydogan Ozcan , Yair Rivenson , Hongda Wang , Hatice Ceylan Koydemir , Yunzhe Qiu
- 申请人: THE REGENTS OF THE UNIVERSITY OF CALIFORNIA
- 申请人地址: US CA Los Angeles
- 专利权人: THE REGENTS OF THE UNIVERSITY OF CALIFORNIA
- 当前专利权人: THE REGENTS OF THE UNIVERSITY OF CALIFORNIA
- 当前专利权人地址: US CA Los Angeles
- 国际申请: PCT/US2021/015321 WO 20210127
- 主分类号: G06V20/69
- IPC分类号: G06V20/69 ; H04N5/232 ; G06V10/10 ; G06V10/82 ; H04N5/225 ; C12Q1/04 ; G02B21/36 ; G02B21/26 ; G03H1/00
摘要:
A system for the detection and classification of live microorganisms in a sample includes a light source and an incubator holding one or more sample-containing growth plates. A translation stage moves the image sensor and/or the growth plate(s) along one or more dimensions to capture time-lapse holographic images of microorganisms. Image processing software executed by a computing device captures time-lapse holographic images of the microorganisms or clusters of microorganisms on the one or more growth plates. The image processing software is configured to detect candidate microorganism colonies in reconstructed, time-lapse holographic images based on differential image analysis. The image processing software includes one or more trained deep neural networks that process the time-lapsed image(s) of candidate microorganism colonies to detect true microorganism colonies and/or output a species associated with each true microorganism colony.
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