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TASBE Image Analytics: A Processing Pipeline for Quantifying Cell Organization from Fluorescent Microscopy.

Nicholas Walczak1, Jacob Beal2, Jesse Tordoff3

  • 1Raytheon BBN Technologies, Cambridge, MA, USA. nicholas.walczak@raytheon.com.

Methods in Molecular Biology (Clifton, N.J.)
|December 19, 2020
PubMed
Summary
This summary is machine-generated.

TASBE Image Analytics automates quantitative image analysis for programmed morphogenesis research. This software segments cells, tracks their development, and provides statistical data, accelerating high-throughput experiments.

Keywords:
Cell quantificationFluorescence microscopyImage processingProgrammed morphogenesisSoftware tools

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Area of Science:

  • Cell Biology
  • Biophysics
  • Bioinformatics

Background:

  • Laboratory automation enables high-throughput microscopy, but quantitative image analysis remains a bottleneck.
  • Analyzing cell spatial organization is crucial for programmed morphogenesis studies.
  • Manual image analysis is time-consuming and subjective, limiting experimental throughput.

Purpose of the Study:

  • To develop an automated software pipeline for quantitative image analysis in programmed morphogenesis.
  • To enable objective and high-throughput segmentation and tracking of cell collections.
  • To facilitate the design-build-test-learn cycle in developmental biology.

Main Methods:

  • Developed TASBE Image Analytics, a software pipeline for automated cell segmentation from fluorescence microscopy images.
  • Utilized fluorescence channels for segmenting cell collections into spatially distinct groups.
  • Implemented algorithms for tracking segment movement and development over time.
  • Configurable processing for rapid and standardized statistical data output.

Main Results:

  • TASBE Image Analytics successfully automates cell segmentation and tracking.
  • The software produces quantitative data that closely matches human annotations.
  • Processing is rapid and configurable, suitable for high-throughput experiments.
  • Validated on engineered CHO and HEK293 cells for shape formation studies.

Conclusions:

  • TASBE Image Analytics addresses the need for quantitative, automated image analysis in programmed morphogenesis.
  • The pipeline supports high-throughput experimentation and accelerates the research cycle.
  • Enables objective and efficient analysis of cell behavior and spatial organization.