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LIM Tracker: a software package for cell tracking and analysis with advanced interactivity.

Hideya Aragaki1, Katsunori Ogoh2, Yohei Kondo3,4,5

  • 1Innovation and Core Technology Management, Olympus Corporation, Kuboyama 2-3, Hachioji, Tokyo, 192-8512, Japan. hideya.aragaki@olympus.com.

Scientific Reports
|February 18, 2022
PubMed
Summary
This summary is machine-generated.

LIM Tracker is new cell tracking software designed for user-friendly time-lapse image analysis. It offers integrated manual correction, data visualization, and deep learning capabilities for versatile cell tracking applications.

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Area of Science:

  • Cell biology
  • Bioimaging
  • Computational biology

Background:

  • Accurate cell tracking is crucial for understanding cell behavior and lineage in time-lapse microscopy.
  • Existing cell tracking software often suffers from poor usability, limited manual correction, and inadequate data analysis tools.

Purpose of the Study:

  • To introduce LIM Tracker, a novel, user-friendly cell tracking software with integrated functionalities.
  • To provide researchers with a versatile tool for analyzing cell behavior and lineages across diverse imaging modalities.

Main Methods:

  • LIM Tracker integrates conventional recognition and link processing, sequential search-based tracking, and manual tracking functions.
  • The software features interactive, real-time data visualization for flexible data correction and reduced workload.
  • Deep learning-based recognition functions are incorporated for enhanced accuracy and stain-free imaging compatibility.

Main Results:

  • LIM Tracker demonstrates seamless integration of multiple tracking functions, improving usability.
  • Interactive visualization enables real-time analysis and efficient data correction, reducing manual effort.
  • The software successfully tracked cells in fluorescence and phase contrast microscopy images, showcasing versatility.

Conclusions:

  • LIM Tracker offers a versatile and highly usable solution for cell tracking in various biological research contexts.
  • The software's integrated features, including deep learning capabilities, streamline the analysis of time-lapse microscopy data.
  • LIM Tracker is available as an ImageJ/Fiji plugin, promoting accessibility for the research community.