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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：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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公开(公告)号：US12228509B2
公开(公告)日：2025-02-18
申请号：US17273631
申请日：2019-09-06
Inventor： YongKeun Park , KyeoReh Lee , Seungwoo Shin , Geon Kim , Young Dug Kim
Abstract: According to an embodiment of the present disclosure, provided is an apparatus for providing microorganism information, including: a receiving unit configured to receive a plurality of images obtained by photographing in time series an outgoing wave emitted from a sample; a detecting unit configured to extract a feature of a change over time from the plurality of images obtained by photographing in time series; a learning unit configured to machine-learn classification criteria based on the extracted feature; and a determining unit configured to classify the type or concentration of a microorganism included in the sample based on the classification criteria, wherein each of the plurality of images includes speckle information generated by multiple scattering by the microorganism due to waves incident on the sample.
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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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