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Automated Analysis of Dynamic Ca2+ Signals in Image Sequences
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DARTS: an open-source Python pipeline for Ca2+ microdomain analysis in live cell imaging data.

Lena-Marie Woelk1,2,3, Dejan Kovacevic4, Hümeyra Husseini1,2,3

  • 1Department of Applied Medical Informatics, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.

Frontiers in Immunology
|January 26, 2024
PubMed
Summary
This summary is machine-generated.

DARTS is a new Python pipeline for analyzing calcium (Ca2+) microdomain dynamics in live cell imaging. It offers efficient, automated analysis of spatio-temporal Ca2+ signals, aiding research in cellular signaling and immune responses.

Keywords:
Ca2+ microdomainsPythonimage analysisintracellular signalinglive cell imagingopen sourceshape normalization

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Area of Science:

  • Cellular Biology
  • Biophysics
  • Immunology

Background:

  • Calcium (Ca2+) microdomains are critical for intracellular signaling, including T cell activation and adaptive immunity.
  • Understanding the dynamics of these localized Ca2+ signals is essential for elucidating underlying cellular processes.
  • Current analysis of live cell imaging data for Ca2+ microdomains is often time-consuming.

Purpose of the Study:

  • To develop an efficient and modular Python pipeline for analyzing Ca2+ microdomain dynamics in live cell imaging data.
  • To provide automated tools for Ca2+ microdomain detection, quantification, and visualization.
  • To facilitate a deeper understanding of spatio-temporal Ca2+ signaling in various cell types.

Main Methods:

  • Developed DARTS (Deconvolution, Analysis, Registration, Tracking, and Shape normalization), a Python pipeline for Ca2+ microdomain analysis.
  • Integrated deep learning for cell detection and tracking, spatio-temporal deconvolution, and bleaching correction.
  • Implemented automated Ca2+ microdomain detection and a novel dartboard projection for spatio-temporal normalization and visualization.

Main Results:

  • DARTS enables efficient, automated analysis of Ca2+ microdomain dynamics from live cell imaging.
  • The pipeline provides global statistics on microdomain number, intensity, and temporal evolution.
  • Dartboard projection visualization allows intuitive interpretation of group-level spatio-temporal microdomain dynamics.

Conclusions:

  • DARTS offers a state-of-the-art solution for analyzing Ca2+ microdomains, significantly improving efficiency.
  • The tool aids in understanding fundamental cellular signaling processes, particularly in immunology.
  • DARTS is an open-source solution, available for community extension and application in diverse research areas.