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公开(公告)号:US20220156561A1
公开(公告)日:2022-05-19
申请号:US17431871
申请日:2019-09-27
Inventor: Kihyun Hong , Hyun-Seok Min , YongKeun Park , Geon Kim , Youngju Jo
Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for identifying the predicted type of one or more microorganisms. In one aspect, a system comprises a phase-contrast microscope and a microorganism classification system. The phase-contrast microscope is configured to generate a three-dimensional quantitative phase image of one or more microorganisms. The microorganism classification system is configured to process the three-dimensional quantitative phase image using a neural network to generate a neural network output characterizing the microorganisms, and thereafter identify the predicted type of the microorganisms using the neural network output.
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公开(公告)号:US12001940B2
公开(公告)日:2024-06-04
申请号:US17951872
申请日:2022-09-23
Applicant: Tomocube, Inc.
Inventor: Kihyun Hong , Hyun-Seok Min , YongKeun Park , Geon Kim , Youngju Jo
CPC classification number: G06N3/045 , G06T7/0012 , G06T2207/10056
Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for identifying the predicted type of one or more microorganisms. In one aspect, a system comprises a phase-contrast microscope and a microorganism classification system. The phase-contrast microscope is configured to generate a three-dimensional quantitative phase image of one or more microorganisms. The microorganism classification system is configured to process the three-dimensional quantitative phase image using a neural network to generate a neural network output characterizing the microorganisms, and thereafter identify the predicted type of the microorganisms using the neural network output.
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公开(公告)号:US20230013209A1
公开(公告)日:2023-01-19
申请号:US17951872
申请日:2022-09-23
Inventor: Kihyun Hong , Hyun-Seok Min , YongKeun Park , Geon Kim , Youngju Jo
Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for identifying the predicted type of one or more microorganisms. In one aspect, a system comprises a phase-contrast microscope and a microorganism classification system. The phase-contrast microscope is configured to generate a three-dimensional quantitative phase image of one or more microorganisms. The microorganism classification system is configured to process the three-dimensional quantitative phase image using a neural network to generate a neural network output characterizing the microorganisms, and thereafter identify the predicted type of the microorganisms using the neural network output.
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