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Related Experiment Video

Updated: May 8, 2026

Live Cell Imaging to Assess the Dynamics of Metaphase Timing and Cell Fate Following Mitotic Spindle Perturbations

Live Cell Imaging to Assess the Dynamics of Metaphase Timing and Cell Fate Following Mitotic Spindle Perturbations

Published on: September 20, 2019

Probing cellular processes by long-term live imaging--historic problems and current solutions.

Daniel L Coutu¹, Timm Schroeder

¹ETH Zurich, Department of Biosystems Science and Engineering, 4058 Basel, Switzerland.

Journal of Cell Science

|August 15, 2013

Summary

Quantitative continuous long-term single-cell imaging allows observing dynamic biological processes. Overcoming current technological hurdles is crucial for advancing this powerful research method.

Keywords:

Biosensors Fluorescence Hardware Single-cell imaging Software Time-lapse microscopy

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Area of Science:

Cell biology
Microscopy
Bioengineering

Background:

The dynamic nature of living systems necessitates continuous observation.
Historical technological limitations have hindered long-term biological studies.
Recent advancements enable quantitative, long-term single-cell imaging.

Purpose of the Study:

To provide an overview of current quantitative continuous long-term single-cell imaging technologies.
To discuss limitations and future directions in the field.
To highlight challenges and inspire solutions for advancing live-cell imaging.

Main Methods:

Review of existing imaging technologies.
Discussion of multidisciplinary approaches (biology, engineering, informatics, mathematics).
Analysis of key issues: cell viability, labeling strategies, hardware, and software.

Main Results:

Current technologies offer unprecedented insights into cellular dynamics.
Significant challenges remain in optimizing imaging conditions and data analysis.
Multidisciplinary collaboration is essential for future progress.

Conclusions:

Quantitative continuous long-term single-cell imaging is a powerful tool for biological discovery.
Addressing technological and methodological obstacles is key to unlocking its full potential.
Continued innovation and collaboration are needed to advance the field.