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A DTC morphometrics package for quantification of complex and variable cellular morphology using ImageJ.

Nilay Gupta1,2, Michael Cammer3, Theadora Tolkin1

  • 1Department of Cell Biology, NYU Grossman School of Medicine, New York, New York, United States.

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We developed ImageJ macros to quantify complex cell shapes in C. elegans, improving accuracy and efficiency for developmental biology research.

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Area of Science:

  • Developmental Biology
  • Cell Biology
  • Bioimage Analysis

Background:

  • Quantifying complex cellular morphology is crucial for understanding cell shape development and its role in disease.
  • Analyzing 3D confocal microscopy data presents challenges, including time consumption, user variability, and image quality issues.
  • These challenges are amplified by sample-to-sample shape variations and wide intensity ranges.

Purpose of the Study:

  • To present a novel package of ImageJ macros for the quantification of cellular morphology.
  • To address the limitations of manual analysis in large datasets of 3D confocal micrographs.
  • To provide tools for optimizing image analysis and quantifying features of the C. elegans distal tip cell (DTC).

Main Methods:

  • Development of a suite of ImageJ macros for image optimization and feature quantification.
  • Implementation of two independent quantification methods: one user-guided and one unbiased.
  • Application of the macros to analyze the C. elegans hermaphrodite distal tip cell (DTC).

Main Results:

  • The developed ImageJ macros facilitate image optimization for accurate cellular analysis.
  • The tools enable quantification of various cellular features using both user-guided and unbiased approaches.
  • The package provides robust functionality for visualization and quantitative analysis of cell morphology.

Conclusions:

  • The ImageJ macro package offers a customizable, efficient, and reproducible solution for quantifying complex cellular morphology.
  • These tools enhance the analysis of 3D confocal microscopy data, particularly for C. elegans DTC.
  • The open-source nature of ImageJ ensures accessibility and broad applicability of these analytical methods.