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Automated Quantification of Hematopoietic Cell – Stromal Cell Interactions in Histological Images of Undecalcified Bone
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Estimating cell count and distribution in labeled histological samples using incremental cell search.

Oscar E Meruvia-Pastor1, Jung Soh, Eric J Schmidt

  • 1Department of Computer Science, Faculty of Science, Memorial University of Newfoundland, St John's, NL, Canada A1B 3X5.

International Journal of Biomedical Imaging
|July 13, 2011
PubMed
Summary

The new Incremental Cell Search (ICS) software automates cell counting in embryonic tissues. This tool enables faster, high-throughput analysis of cell proliferation and tissue development.

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Area of Science:

  • Developmental biology
  • Cell biology
  • Bioinformatics

Background:

  • Cell proliferation is essential for embryonic development, including facial and limb formation.
  • Traditional histological sampling methods are time-consuming and hinder large-scale data analysis.
  • Accurate quantification of cell populations is crucial for modeling developmental processes.

Purpose of the Study:

  • To develop a novel software tool, Incremental Cell Search (ICS), for rapid cell localization and quantification in embryonic tissues.
  • To overcome the limitations of traditional methods in analyzing cell proliferation during development.
  • To facilitate high-throughput morphometric analysis of embryonic tissues.

Main Methods:

  • Developed the Incremental Cell Search (ICS) software.
  • Utilized estimated average cell size and stain color for cell identification.
  • Applied the software to histological images of labeled embryonic tissue.
  • Enabled quantification in areas with challenging imaging conditions (e.g., saturated fluorescence, blurred boundaries).

Main Results:

  • ICS software rapidly indicates cell location and quantity in histological images.
  • Provides accurate cell count estimates, even in complex regions.
  • Significantly expedites the analysis of cell proliferation in relation to morphological outgrowth.
  • Demonstrates potential for high-throughput 3D and 4D quantitative analyses.

Conclusions:

  • The Incremental Cell Search (ICS) software is an effective tool for high-throughput analysis of cell proliferation in developing tissues.
  • ICS overcomes key limitations of traditional histological sampling, enabling more efficient research.
  • This tool facilitates advanced quantitative analyses of developmental patterns in 3D and 4D.