Intelligent interpretation method and system for weak positive sample in immunoassay

By performing zonal processing and signal-to-noise ratio analysis on the immunochromatographic test strip images, the technical problems of the detection line were solved, the technical effect of the detection line was achieved, and the accuracy and reliability of weak positive sample interpretation were improved.

CN121010751AActive Publication Date: 2025-11-25AFFILIATED HOSPITAL OF ZUNYI UNIV
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Patent Information

Application Number
CN202511034877.7
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-07-25
Publication Date
2025-11-25
Estimated Expiration
2045-07-25

AI Technical Summary

Technical Problem

Existing technologies in immunochromatographic test strips have difficulty effectively reducing the impact of the continuity of the test line on the detection of weak positive samples, leading to inaccurate interpretation.

Method used

Immunochromatographic test strip images are acquired by an image sensor, divided into multiple local region blocks, and candidate line regions and background regions are screened by calculating structural similarity. A probability heatmap of the detection line is generated, and a contrast index is constructed by comparing the signal-to-noise ratio of the background correction feature region with the signal-to-noise ratio of the quality control line to generate a graded report.

Benefits of technology

It improves the accuracy of interpreting weak positive samples, reduces the interference of test line continuity on interpretation, ensures the objectivity and reliability of reports, and reduces subjective dependence.

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Abstract

The invention provides an intelligent interpretation method and system for a weak positive sample in immunoassay. The method comprises the following steps: dividing a weak positive sample image containing a detection line and a quality control line region in an immunochromatography test strip into a plurality of local region blocks; determining the structural similarity between each group of adjacent local region blocks, and screening out a candidate line region and a background region of the detection line from the weak positive sample image based on all the structural similarities; generating a probability thermodynamic diagram of the detection line according to gray scale gradient distribution of the candidate line region, determining contribution characteristics of the background region to the weak positive sample image, and determining a background correction characteristic region of the detection line in the weak positive sample image through the contribution characteristics; and determining a contrast index of the signal-to-noise ratio corresponding to the detection line in the immunochromatography test strip according to the signal-to-noise ratio of the detection line in the background correction feature region, and further generating a grading report of the weak positive sample. By adopting the scheme, the influence of the continuity of the detection line on weak positive sample detection can be reduced.
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