AgInS quantum dot bio-imaging image enhancement identification system and method

By constructing a three-dimensional spatiotemporal data matrix and performing orthogonalization operations, and utilizing the temporal difference between the long-lived fluorescence and intrinsic autofluorescence of AgInS quantum dots, a dynamic background substrate is generated, which solves the problem of background interference in in vivo biological imaging and achieves high-precision recognition of target signals and improved image contrast.

CN122176322APending Publication Date: 2026-06-09MINNAN INST OF SCI & TECH
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
MINNAN INST OF SCI & TECH
Filing Date
2026-05-11
Publication Date
2026-06-09

AI Technical Summary

Technical Problem

Existing quantum dot in vivo bioimaging is susceptible to interference from background signals such as endogenous tissue autofluorescence. Furthermore, the characteristics of in vivo background fluorescence change dynamically with time and physiological state. Using a fixed prior model makes it difficult to achieve accurate separation of target signals, resulting in low accuracy of target signal recognition and low image contrast.

Method used

By constructing a three-dimensional spatiotemporal data matrix, the initial target substrate is generated by orthogonalization operation using the temporal difference between the long-lived fluorescence and intrinsic autofluorescence of AgInS quantum dots. A high-confidence background mask is extracted, and the dynamic background substrate is calculated by inverse mapping. Finally, a secondary target projection operation is performed to achieve real-time adaptive updating of background interference.

Benefits of technology

It achieves real-time adaptive updating of background reference signals, and can synchronously adjust the background separation direction according to the physiological changes of the endogenous environment in the living body, accurately separate and filter out residual background interference in complex living environments, and improve the recognition accuracy of target signals and image contrast.

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Abstract

This invention relates to the field of biomedical imaging data processing technology, and discloses an AgInS quantum dot bioimaging image enhancement and recognition system and method. The system includes an excitation light source, a gated camera, a timing controller, and a data processing unit. The method includes: receiving image frames under different delay time windows to construct a three-dimensional spatiotemporal data matrix; orthogonalizing pre-calibrated long and short lifetime prior vectors to generate an initial target basis, and calculating the inner product with pixel temporal vectors to generate an initial target weight matrix; segmenting and eroding the matrix to extract a high-confidence background mask, and inversely mapping and averaging to generate a dynamic background basis; re-orthogonalizing and calculating the inner product using the dynamic background basis to obtain the final target weight matrix; numerically mapping the matrix and performing connected component analysis to output the results. This invention achieves real-time adaptive updating of background reference features, improving target contrast and target recognition accuracy in complex living environments.
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