公开(公告)号：US12270068B2

公开(公告)日：2025-04-08

申请号：US17793926

申请日：2021-01-27

Applicant: THE REGENTS OF THE UNIVERSITY OF CALIFORNIA

Inventor： Aydogan Ozcan ,  Yair Rivenson ,  Hongda Wang ,  Hatice Ceylan Koydemir ,  Yunzhe Qiu

IPC: C12Q1/04 ,  G02B21/26 ,  G02B21/36 ,  G03H1/00 ,  G06V10/10 ,  G06V10/82 ,  G06V20/69 ,  H04N23/56 ,  H04N23/698

Abstract: 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.

公开(公告)号：US20230060037A1

公开(公告)日：2023-02-23

申请号：US17793926

申请日：2021-01-27

Applicant: THE REGENTS OF THE UNIVERSITY OF CALIFORNIA

Inventor： Aydogan Ozcan ,  Yair Rivenson ,  Hongda Wang ,  Hatice Ceylan Koydemir ,  Yunzhe Qiu

IPC: G06V20/69 ,  H04N5/232 ,  G06V10/10 ,  G06V10/82 ,  H04N5/225 ,  C12Q1/04 ,  G02B21/36 ,  G02B21/26 ,  G03H1/00

Abstract: 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.