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Global linking of cell tracks using the Viterbi algorithm.

Klas E G Magnusson, Joakim Jalden, Penney M Gilbert

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    This study introduces a novel global track linking algorithm for automated cell tracking in microscopy. It efficiently links cell outlines into tracks, improving accuracy and handling complex cellular events.

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    Area of Science:

    • Cell Biology
    • Biomedical Imaging
    • Computational Biology

    Background:

    • Automated cell tracking in microscopy is crucial but challenging.
    • Existing methods struggle with complex cellular dynamics and segmentation errors.

    Purpose of the Study:

    • To develop a global track linking algorithm for robust automated cell tracking.
    • To improve the accuracy and reliability of cell tracking in microscopy image sequences.

    Main Methods:

    • A global track linking algorithm using the Viterbi algorithm.
    • Probabilistically motivated scoring function for linking decisions.
    • Dynamic track alteration to mitigate error propagation.

    Main Results:

    • The algorithm successfully links cell outlines into tracks.
    • Demonstrated performance on challenging bright-field microscopy datasets.
    • Handles mitosis, apoptosis, cell migration, and segmentation inaccuracies.

    Conclusions:

    • The proposed algorithm offers a significant advancement in automated cell tracking.
    • Applicable to various cell types and imaging techniques with suitable segmentation.
    • Provides a robust solution for analyzing complex cellular behaviors.