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Related Concept Videos

Protein Dynamics in Living Cells01:19

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Different fluorescence-based techniques are used to study the protein dynamics in living cells. These techniques include FRAP, FRET, and PET.
Fluorescent recovery after photobleaching (FRAP) is a fluorescent-protein-based detection technique used to quantify protein movement rates within the cell. This method exposes a small portion of the cell to an intense laser beam. The laser beam causes permanent photobleaching of the fluorophore-tagged proteins in the exposed region. As the bleached...
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Updated: Jan 12, 2026

Live-cell Imaging of Single-Cell Arrays LISCA - a Versatile Technique to Quantify Cellular Kinetics
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Tracking coordinated cellular dynamics in time-lapse microscopy with ARCOS.px.

Benjamin Grädel1,2, Lea Brönnimann1, Paolo Armando Gagliardi1,3

  • 1Institute of Cell Biology , University of Bern, 3007 Bern, Switzerland.

Journal of Cell Science
|November 3, 2025
PubMed
Summary
This summary is machine-generated.

Researchers developed ARCOS.px, a new software tool to track dynamic cellular structures in microscopy movies. This tool quantifies complex intracellular behaviors previously difficult to analyze.

Keywords:
Actin dynamicsCell biologyImage analysisSpatial clusteringTracking

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Area of Science:

  • Cell Biology
  • Biophysics
  • Bioimage Analysis

Background:

  • Living cells exhibit dynamic structures with complex collective behaviors.
  • Existing tools struggle to quantify shape-shifting, pixel-level cellular activities.
  • Tracking coordinated intracellular phenomena is crucial for understanding cell function.

Purpose of the Study:

  • To develop a novel software tool for automated identification and tracking of dynamic cellular events.
  • To enable quantification of coordinated intracellular phenomena in time-lapse microscopy.
  • To provide a user-friendly solution for analyzing complex cell behaviors.

Main Methods:

  • Developed ARCOS.px, a freely available software with a graphical interface.
  • Utilized semantically segmented binary images classifying pixels as 'active' or 'inactive'.
  • Employed spatial clustering to group pixels into coordinated events and track their temporal evolution.

Main Results:

  • Successfully tracked cellular structures involved in cell movement and signaling in REF52 cells.
  • Revealed the impact of different drugs on cellular structure behavior.
  • Uncovered timing relationships between cellular components during wave-like spreading events.

Conclusions:

  • ARCOS.px effectively quantifies coordinated intracellular phenomena, addressing a gap in current bioimage analysis tools.
  • The software facilitates the study of complex cellular dynamics and responses to stimuli.
  • Enables deeper insights into cell movement, signaling, and collective behaviors.