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An Analytical Tool that Quantifies Cellular Morphology Changes from Three-dimensional Fluorescence Images
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Cellular Morphometric Analysis (CellMorph)-a comprehensive imaging-based tool for quantifying cellular phenotype

Henrique Quaiato de Oliveira1, Solon Andrades da Rosa2, Luiza Cherobini Pereira2

  • 1Instituto de Biociências, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil.

The FEBS Journal
|November 18, 2025
PubMed
Summary

Cellular Morphometric Analysis (CellMorph) offers a novel way to measure cell size, shape, and internal features in individual live cells. This tool helps researchers understand cell behavior during various biological processes and in response to stress.

Keywords:
cell biology toolcell statecellular morphometryphenotypic dynamicsingle‐cell biology

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Area of Science:

  • Cell Biology
  • Biophysics
  • Quantitative Biology

Background:

  • Eukaryotic cell morphometry is crucial for understanding cell biology, with dynamic changes occurring during vital processes.
  • Traditional measurement methods struggle to integrate cytosolic and nuclear data or track live cells over time.
  • There is a need for advanced tools to comprehensively analyze individual cell characteristics.

Purpose of the Study:

  • To develop and validate a novel tool, Cellular Morphometric Analysis (CellMorph), for objective assessment of eukaryotic cell morphometry.
  • To enable comprehensive analysis of individual cell features, including size, shape, and staining, from both bright-field and fluorescent images.
  • To provide a tool for tracking dynamic cellular responses and population heterogeneity over time.

Main Methods:

  • Development of Cellular Morphometric Analysis (CellMorph) software.
  • Analysis of bright-field and fluorescent images of various cellular models.
  • Validation using specific staining protocols for apoptosis, autophagy, and senescence.

Main Results:

  • CellMorph objectively assesses multiple features of individual eukaryotic cells, including size, shape, and cytosolic staining.
  • The tool effectively analyzes both stained and unstained cells, accommodating fluorescent reporters and chromogenic labels.
  • CellMorph captures cellular heterogeneity and tracks phenotypic changes over time, demonstrating its utility in studying stress responses.

Conclusions:

  • CellMorph provides a multidimensional perspective on individual cellular features and their responses to stress.
  • The tool is valuable for studying dynamic cellular responses and population heterogeneity.
  • CellMorph represents a significant advancement for exploring complex cellular morphometry in research.