Cell Tracking That Excludes Division-Period Motion Noise
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Solution Overview
Problem
Existing cell tracking technologies face challenges in accurately distinguishing between cell movement and division, leading to noise in analysis due to instantaneous changes in cell position during division.
Innovation Solution
A cell tracking method that includes extracting tracking regions, calculating position changes, determining cell division states, and analyzing movement states by excluding division periods, using an image processing device with modules for region extraction, position calculation, state determination, and movement state calculation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If cell tracking is performed continuously through cell division, then tracking coverage is improved, but measurement precision deteriorates due to instantaneous center of gravity movement during division
Solution Approach 1:
The patent segments the tracking process into two distinct modes: continuous tracking mode for normal cell movement and division detection mode for identifying cell division events. By detecting changes in the number of tracking regions and analyzing area ratios between consecutive frames, the system can identify when a cell is dividing and switch to division detection mode, thereby preventing inaccurate position measurements during the division process while maintaining continuous tracking coverage.
2Measurement precision
If cell division is distinguished from cell movement, then analysis accuracy is improved, but device complexity increases due to additional determination processes
Solution Approach 1:
The patent performs preliminary detection of cell division states by analyzing the number of tracking regions and their area ratios in consecutive image frames before conducting movement analysis. This preliminary action identifies potential division events, allowing the system to flag and exclude these periods from movement calculations, thereby improving analysis accuracy without requiring complex real-time differentiation during the movement analysis phase.
Data Source
AI summary
A cell tracking method for performing cell tracking on the basis of a plurality of cell images captured in time series, including an extraction process of extracting a tracking region corresponding to the cell for each cell images; a tracking process of calculating a change information in a position of the extracted tracking region and tracking the cell on the basis of the change information; a determination process of determining whether or not the cell as a tracking target is in a cell division state on the basis of the cell image; and an analysis process of analyzing a movement state of the cell on the basis of the change information from which the change information in a period of the cell division state is excluded when the cell is determined to be in the cell division state in the determination process.