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Related Experiment Video

Updated: Jun 15, 2026

Through the Looking Glass: Time-lapse Microscopy and Longitudinal Tracking of Single Cells to Study Anti-cancer Therapeutics
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Through the Looking Glass: Time-lapse Microscopy and Longitudinal Tracking of Single Cells to Study Anti-cancer Therapeutics

Published on: May 14, 2016

Advanced level-set-based cell tracking in time-lapse fluorescence microscopy.

Oleh Dzyubachyk1, Wiggert A van Cappellen, Jeroen Essers

  • 1Biomedical Imaging Group Rotterdam, Department of Medical Informatics, Erasmus Medical Center, 3015 CE Rotterdam, The Netherlands. o.dzyubachyk@erasmusmc.nl

IEEE Transactions on Medical Imaging
|March 5, 2010
PubMed
Summary
This summary is machine-generated.

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This study enhances cell segmentation and tracking in microscopy images using an improved coupled-active-surfaces algorithm. The new method offers greater accuracy and speed for biological studies of cell migration and proliferation.

Area of Science:

  • Cell biology
  • Biomedical imaging
  • Computational biology

Background:

  • Accurate cell segmentation and tracking are crucial for studying cell migration and proliferation.
  • Level set methods are effective for capturing cell dynamics, including mitosis.
  • Existing multiple-level-set methods have limitations in robustness and applicability.

Purpose of the Study:

  • To improve the robustness and applicability of cell segmentation and tracking algorithms.
  • To enhance the coupled-active-surfaces algorithm for biological imaging studies.

Main Methods:

  • Modifications and extensions to the coupled-active-surfaces algorithm.
  • Validation against original algorithm and other cell segmentation methods.
  • Testing on four diverse fluorescence microscopy image datasets.

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Lens-free Video Microscopy for the Dynamic and Quantitative Analysis of Adherent Cell Culture
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Published on: February 23, 2018

Related Experiment Videos

Last Updated: Jun 15, 2026

Through the Looking Glass: Time-lapse Microscopy and Longitudinal Tracking of Single Cells to Study Anti-cancer Therapeutics
06:00

Through the Looking Glass: Time-lapse Microscopy and Longitudinal Tracking of Single Cells to Study Anti-cancer Therapeutics

Published on: May 14, 2016

Live Imaging Followed by Single Cell Tracking to Monitor Cell Biology and the Lineage Progression of Multiple Neural Populations
10:55

Live Imaging Followed by Single Cell Tracking to Monitor Cell Biology and the Lineage Progression of Multiple Neural Populations

Published on: December 16, 2017

Lens-free Video Microscopy for the Dynamic and Quantitative Analysis of Adherent Cell Culture
09:04

Lens-free Video Microscopy for the Dynamic and Quantitative Analysis of Adherent Cell Culture

Published on: February 23, 2018

Main Results:

  • Achieved improved precision (up to 11%) and recall (up to 8%) in cell tracking.
  • Successfully captured all cell division events.
  • Reduced computation time by up to nine times.

Conclusions:

  • The proposed modifications significantly enhance the coupled-active-surfaces algorithm for cell segmentation and tracking.
  • The improved algorithm is more robust and applicable to a wider range of biological experiments.
  • This advancement facilitates more accurate and efficient analysis of cell dynamics.