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April 15, 2026Biophysics ReviewsOpen Access

An accurate and automated approach for the quantification of single-cell adhesion dynamics from microscopy images

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Authors

MCMarilisa CortesiJLJingjing LiDLD Liu

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Overview

This work demonstrates a novel analytical method to quantify cell adhesion dynamics in cancer cells, suggesting enhanced accuracy and applicability.

Key Points

  • To develop an automated method for quantifying single-cell adhesion dynamics using live-cell imaging techniques.
  • Utilized live-cell imaging to analyze cell adhesion at the single-cell level.
  • Substituted segmentation algorithms to enhance analytical accuracy.
  • Tested the method under routine laboratory conditions, without requiring high-performance setups.
  • Identified previously unrecognized cell division patterns before attachment.
  • Revealed population variability and differing proliferation rates affecting adhesion.
  • Improved quantification of cell adhesion metrics with high temporal resolution.

Cite This Study

Cortesi et al. (2026) studied this question.

synapsesocial.com/papers/69df2ba0e4eeef8a2a6b094chttps://doi.org/10.1063/5.0293339
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