A small sample foodborne pathogen single cell detection system and method

By combining multimodal data augmentation and feature extraction modules with collaborative decision-making modules, the problems of high sample acquisition costs and insufficient model robustness in foodborne pathogen detection are solved, achieving high-precision, low-dependency, and rapid detection results.

CN122223716APending Publication Date: 2026-06-16HANGZHOU GUANGYU CLOUD COMPUTING TECHNOLOGY CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
HANGZHOU GUANGYU CLOUD COMPUTING TECHNOLOGY CO LTD
Filing Date
2026-03-26
Publication Date
2026-06-16

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Abstract

The application provides a small sample foodborne pathogen single cell detection system and method, relates to the cross technical field of bioinformatics and machine learning, and comprises a multi-modal data enhancement module used for receiving morphological data, spectral data and image data of pathogen single cells; the multi-modal data enhancement module adopts a differentiated enhancement strategy library, carries out independent factor scaling, noise injection of key wave peak reservation and time-frequency domain geometric transformation for sample data enhancement according to the physical and biological characteristics of different data modes of the pathogen single cells, and generates an expanded multi-modal training sample set; and a multi-modal feature extraction module is in communication connection with the multi-modal data enhancement module, comprises a morphological feature extraction unit, a spectral feature extraction unit and an image feature extraction unit arranged in parallel, and is used for data feature extraction.
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