Cell Tracking with Division-State Exclusion for Accurate Movement Analysis

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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 of cell movement states due to instantaneous changes in the center of gravity during cell division.

Innovation Solution

A cell tracking method that includes extracting tracking regions based on luminance information, determining cell division states, and excluding change information during division periods to analyze movement states accurately.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If cell tracking is performed continuously including during cell division, then tracking coverage is maintained, but noise is introduced in movement state analysis due to instantaneous center of gravity changes

Engineering Contradiction:
Improveaccuracy of cell movement analysisVSAvoidtracking continuity
Core Design Contradiction:
ReliabilityVSLoss of information

Solution Approach 1:

The patent segments the tracking process into distinct phases: normal tracking mode and cell division detection mode. By dividing the tracking workflow into these separate functional segments, the system can apply different processing rules appropriate to each phase, thereby eliminating noise from division events while preserving tracking continuity through structured state transitions.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent extracts and isolates the cell division event from the continuous tracking data stream. By detecting division states separately and removing these specific data points before movement analysis, the system extracts the harmful noise component while retaining the useful movement information, thus improving analysis accuracy without losing overall tracking context.

Inventive Principle:
Principle #2Taking out (Extraction)

2Measurement precision

If cell division events are excluded from tracking data, then movement analysis accuracy improves, but complete tracking information is lost

Engineering Contradiction:
Improveprecision of movement state measurementVSAvoidamount of tracking data
Core Design Contradiction:
Measurement precisionVSQuantity of substance

Solution Approach 1:

The patent applies local quality by treating different portions of the tracking data differently. Normal tracking data points are processed with standard movement analysis algorithms, while identified cell division data points are handled separately through exclusion or special marking. This localized differential processing ensures high precision in movement measurement while preserving the complete dataset for comprehensive analysis.

Inventive Principle:
Principle #3Local quality

Solution Approach 2:

The patent changes the processing parameter state based on detected conditions. When a cell division event is detected, the system transitions from normal movement analysis parameters to division-exclusion parameters, effectively dynamically adjusting the analysis mode. This parameter change approach maintains measurement precision by applying appropriate processing rules while retaining all original tracking data for potential reanalysis.

Inventive Principle:
Principle #35Parameter changes

3Measurement precision

If tracking region extraction is performed for each cell image, then tracking accuracy is maintained, but processing complexity increases

Engineering Contradiction:
Improveaccuracy of cell position trackingVSAvoidcomplexity of tracking process
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent performs preliminary extraction of tracking regions and identification of cell division states before conducting movement analysis. By preparing and pre-processing the tracking data, detecting division events in advance, and marking them for exclusion, the system simplifies the subsequent movement analysis process while maintaining high tracking accuracy through thorough preliminary processing.

Inventive Principle:
Principle #10Preliminary action

Data Source

PatentUS12469312B2Cell tracking method, image processing device, and program
Publication Date: 2025.11.11 NIKON CORP
  • US12469312B2 patent drawing
  • US12469312B2 patent drawing
  • US12469312B2 patent drawing

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.