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CellProfiler Tracer: exploring and validating high-throughput, time-lapse microscopy image data.

Mark-Anthony Bray1, Anne E Carpenter2

  • 1Broad Institute of MIT and Harvard, 415 Main St, Cambridge, MA, 02142, USA. mbray@broadinstitute.org.

BMC Bioinformatics
|November 6, 2015
PubMed
Summary
This summary is machine-generated.

CellProfiler Tracer is a new open-source software tool that helps biologists easily assess cell tracking quality in time-lapse experiments. It visualizes tracking data and identifies potential errors, simplifying high-throughput analysis.

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Area of Science:

  • Cellular biology
  • Bioimage analysis
  • High-content screening

Background:

  • Time-lapse microscopy is crucial for understanding dynamic cellular processes.
  • Existing cell tracking algorithms lack integrated tools for quality assessment.
  • High-throughput experiments generate large datasets, complicating manual track validation.

Purpose of the Study:

  • To develop an open-source software tool for visualizing and assessing cell tracking data.
  • To provide researchers with a method for convenient quality control of tracking parameters.
  • To facilitate the analysis of large-scale time-lapse microscopy experiments.

Main Methods:

  • Development of CellProfiler Tracer, an open-source software package.
  • Integration with CellProfiler for accessing object tracking output.
  • Visualization of multi-parametric morphological data on cell tracks.
  • Implementation of graph-based measures to detect tracking artifacts.

Main Results:

  • CellProfiler Tracer enables visualization of cell tracks with associated morphological data.
  • The tool provides validated visualizations for time-lapse experiments.
  • It incorporates simple graph-based metrics for identifying potential tracking errors.
  • The software complements existing CellProfiler functionalities.

Conclusions:

  • CellProfiler Tracer is a valuable, free tool for inspecting and controlling the quality of cell tracking data.
  • It addresses the need for efficient assessment in high-throughput time-lapse studies.
  • The software is readily available for the research community.