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Updated: Sep 5, 2025
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Live Cell Imaging to Assess the Dynamics of Metaphase Timing and Cell Fate Following Mitotic Spindle Perturbations
Published on: September 20, 2019
8.3K
LiveCellMiner: A new tool to analyze mitotic progression.
Daniel Moreno-Andrés1, Anuk Bhattacharyya2, Anja Scheufen1
1Institute of Biochemistry and Molecular Cell Biology, Medical School, RWTH Aachen University, Aachen, Germany.
Plos One
|July 7, 2022
Summary
LiveCellMiner is a new open-source software tool for analyzing live-cell imaging data. It automates the extraction and visualization of cell cycle and mitotic features, overcoming limitations of current methods.
Area of Science:
- Cell Biology
- Microscopy
- Bioinformatics
Background:
- Live-cell imaging is crucial for studying cell cycle and mitotic defects, generating large datasets.
- Existing automated image analysis tools lack flexibility and require experiment-specific training data, hindering full automation.
Purpose of the Study:
- To introduce LiveCellMiner, a flexible open-source software for automated analysis of live-cell imaging data.
- To enable quantitative and unbiased analysis of high-content screening datasets across different platforms.
Main Methods:
- Development of LiveCellMiner, a software tool for automated extraction, analysis, and visualization of image features.
- Application to analyze dynamic chromatin and tubulin cytoskeleton features in human cells during mitosis.
Main Results:
- LiveCellMiner provides automated, quantitative, and unbiased analysis of aggregated and time-resolved image features.
- Demonstrated versatility in analyzing mitotic and cell cycle dynamics across diverse experimental setups.
Conclusions:
- LiveCellMiner offers a flexible and versatile solution for automating live-cell imaging data analysis.
- The tool addresses key bottlenecks in high-content screening, facilitating broader research applications.
