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Updated: Dec 11, 2025

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Spatial protein analysis in developing tissues: a sampling-based image processing approach.

Karolis Leonavicius1, Christophe Royer1, Antonio M A Miranda1

  • 1Department of Physiology, Anatomy and Genetics, University of Oxford, Oxford OX1 3QX, UK.

Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences
|August 25, 2020
PubMed
Summary
This summary is machine-generated.

SilentMark is an open-source image analysis tool for extracting quantitative geometry and protein localization data from 3D mammalian tissue images. Its lightweight design enables web accessibility, simplifying complex biological data analysis.

Keywords:
cell and developmental biologygene expressionimage analysisimmunofluorescenceprotein quantificationsegmentation

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Area of Science:

  • Cell Biology
  • Bioinformatics
  • Microscopy

Background:

  • Multi-dimensional fluorescence microscopy generates large image volumes, necessitating advanced analysis tools.
  • Extracting quantitative data from complex biological images remains a challenge.

Purpose of the Study:

  • To develop a flexible, open-source image analysis platform for quantitative extraction of geometry-based information from diverse mammalian tissue images.
  • To enable quantification of protein distribution relative to tissue geometry.

Main Methods:

  • Developed 'SilentMark', an open-source platform using simplified feature-based nuclear segmentation and probabilistic cytoplasmic detection.
  • Platform designed to handle 3D noisy images and crowded cell fields, quantifying signal intensity in cellular compartments.
  • Lightweight algorithms require minimal computational resources and no training datasets, enabling web application deployment.

Main Results:

  • SilentMark successfully extracts geometry-based information and quantifies signal intensity in various cellular compartments.
  • The platform relates protein localization to tissue geometry in tested mammalian tissue samples (mouse embryos, embryoid bodies, embryonic heart).
  • Web application format eliminates setup and compatibility issues.

Conclusions:

  • SilentMark provides an accessible and efficient solution for quantitative analysis of complex biological image data.
  • The tool facilitates the study of protein distribution and its relationship with tissue morphology.
  • This approach supports research in developmental biology and morphogenesis.