Cellular cell tracking and pedigree reconstruction method fusing local topology and coordinate decoupling

By integrating local topology and coordinate decoupling, a method for cellular cell tracking and lineage reconstruction was constructed, which solved the problem of cell tracking failure caused by field of view drift and topological mutation in long-term microscopy observation, and achieved high-fidelity and automated cell lineage reconstruction.

CN122453852APending Publication Date: 2026-07-24JIMEI UNIV
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Patent Information

Application Number
CN202610545056.8
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-04-23
Publication Date
2026-07-24

AI Technical Summary

Technical Problem

Existing technologies cannot effectively address cell tracking failures caused by field-of-view drift and topological mutations during long-term microscopic observations. This is especially true in biological tissues with dense honeycomb structures, such as Porphyra yezoensis, where existing methods suffer from poor robustness, low tracking accuracy, and insufficient depth of biological logic mining.

Method used

A method combining local topology and coordinate decoupling is adopted. By constructing a local topological neighborhood graph based on surround sorting, a coordinate decoupling feature matrix composed of vector angle, distance ratio and area ratio is extracted. Combined with a global optimization algorithm and a reverse virtual fusion mechanism, cross-frame correlation and split detection are achieved.

Benefits of technology

High-fidelity and automated cell tracking and lineage reconstruction were achieved in long-term, unaligned microscopic image sequences, ensuring the robustness and biological rationality of cell identification and overcoming the problems of topological mutation and feature confusion.

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Abstract

The invention discloses a cellular cell tracking and pedigree reconstruction method fusing local topology and coordinate decoupling, and belongs to the technical field of biological image processing and cell pedigree tracking. Comprising the following steps: acquiring a time sequence microscopic image and extracting cell segmentation mask data based on an image segmentation algorithm; global registration is carried out on adjacent frame masks; constructing a local topological neighborhood graph in surrounding sorting, and extracting a coordinate decoupling feature matrix formed by a vector included angle, a distance ratio and an area ratio; fusing the form and topological features to construct a comprehensive cost matrix, and carrying out global optimization solution to obtain tracking association; extracting a vectorized polygon contour based on the skeleton and the topological graph network; generating a virtual mother cell through reverse fusion and boundary form evolution to establish a division relationship; and carrying out conflict judgment by splitting priority and neighborhood voting and repairing a pedigree fault. According to the invention, high-robustness automatic cell tracking and pedigree reconstruction are realized in the non-aligned long-interval microscopic image.
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