Spleen structure analysis method and device, electronic equipment and storage medium
By combining single-cell sequencing and spatial transcription sequencing data, a method for analyzing spleen structure was constructed, which solved the problem of inaccurate spleen structure analysis and enabled accurate identification of spleen tissue disorders and assessment of immune system status.
CN122417138APending Publication Date: 2026-07-17SHENZHEN HUADA GENE INST +1
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- SHENZHEN HUADA GENE INST
- Filing Date
- 2025-01-15
- Publication Date
- 2026-07-17
AI Technical Summary
Technical Problem
Existing technologies for spleen structure analysis are inaccurate and cannot accurately assess changes in tissue microstructure and abnormal states of the immune system.
Method used
By acquiring single-cell sequencing data and spatial transcription sequencing data of spleen tissue, we determined the cell types and significantly expressed gene data of spleen regions, constructed an input dataset, and performed similarity analysis with a reference dataset to determine the results of spleen structure analysis.
Benefits of technology
It improves the accuracy of spleen analysis, enabling accurate identification of spleen tissue disorders and ensuring normal immune system function and blood health.
✦ Generated by Eureka AI based on patent content.
Smart Images
Figure CN122417138A_ABST
Abstract
Embodiments of the present application provide a spleen structure analysis method and device, electronic equipment and storage medium. The method comprises obtaining a spleen structure analysis request, the spleen structure analysis request comprising first single-cell sequencing data and first spatial transcriptome sequencing data of a spleen tissue to be analyzed; determining a plurality of first significantly expressed gene data corresponding to a plurality of cell types according to the first single-cell sequencing data, and determining a plurality of second significantly expressed gene data corresponding to a plurality of spleen partitions according to the first spatial transcriptome sequencing data; determining a first intersection between the second significantly expressed gene data of each spleen partition and the first significantly expressed gene data of each cell type, and constructing an input data set based on the first intersection; determining a spleen structure analysis result according to the similarity between the input data set and a reference data set, the reference data set being a data set corresponding to a spleen sample of a reference spleen structure. The method can improve the accuracy of spleen structure analysis.
Need to check novelty before this filing date? Find Prior Art