ArticleMolecular biology of the cell2017
MAARS: a novel high-content acquisition software for the analysis of mitotic defects in fission yeast.
Article in Molecular biology of the cell, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 16 citations in OpenAlex.
- MAARS Software for Automatic and Quantitative Analysis of Mitotic Progression.Methods in molecular biology (Clifton, N.J.) · 2024Article
- Quantifying Yeast Microtubules and Spindles Using the Toolkit for Automated Microtubule Tracking (TAMiT).Biomolecules · 2023Article
- Enabling reactive microscopy with MicroMator.Nature communications · 2022Article
- Automated tracking of S. pombe spindle elongation dynamics.Journal of microscopy · 2021Article
- Pomegranate: 2D segmentation and 3D reconstruction for fission yeast and other radially symmetric cells.Scientific reports · 2020Article
- Automated morphometry toolbox for analysis of microscopic model organisms using simple bright-field imaging.Biology open · 2019Article
- Phosphorylation of Arp2 is not essential for Arp2/3 complex activity in fission yeast.Life science alliance · 2018Article
Corrections and comments
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Authors and funding
8 authors at 1 institution in 1 country.
Funding
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Abstract
Faithful segregation of chromosomes during cell division relies on multiple processes such as chromosome attachment and correct spindle positioning. Yet mitotic progression is defined by multiple parameters, which need to be quantitatively evaluated. To study the spatiotemporal control of mitotic progression, we developed a high-content analysis (HCA) approach that combines automated fluorescence microscopy with real-time quantitative image analysis and allows the unbiased acquisition of multiparametric data at the single-cell level for hundreds of cells simultaneously. The Mitotic Analysis and Recording System (MAARS) provides automatic and quantitative single-cell analysis of mitotic progression on an open-source platform. It can be used to analyze specific characteristics such as cell shape, cell size, metaphase/anaphase delays, and mitotic abnormalities including spindle mispositioning, spindle elongation defects, and chromosome segregation defects. Using this HCA approach, we were able to visualize rare and unexpected events of error correction during anaphase in wild-type or mutant cells. Our study illustrates that such an expert system of mitotic progression is able to highlight the complexity of the mechanisms required to prevent chromosome loss during cell division.
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