ArticleCell division2009
A microfluidic device to acquire high-magnification microphotographs of yeast cells.
Article in Cell division, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Article
- Cell cycle dependent methylation of Dam1 contributes to kinetochore integrity and faithful chromosome segregation.PLoS genetics · 2025Article
- Fungi-on-a-Chip: microfluidic platforms for single-cell studies on fungi.FEMS microbiology reviews · 2022Review
- An integrated microfluidic device for the sorting of yeast cells using image processing.Scientific reports · 2018Article
- Microfluidic Platforms for Yeast-Based Aging Studies.Small (Weinheim an der Bergstrasse, Germany) · 2016Article
- Recent advances in morphological cell image analysis.Computational and mathematical methods in medicine · 2012Review
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundYeast cell morphology was investigated to reveal the molecular mechanisms of cell morphogenesis and to identify key factors of other processes such as cell cycle progression. We recently developed a semi-automatic image processing program called CalMorph, which allows us to quantitatively analyze yeast cell morphology with the 501 parameters as biological traits and uncover statistical relationships between cell morphological phenotypes and genotypes. However, the current semi-automatic method is not suitable for morphological analysis of large-scale yeast mutants for the reliable prediction of gene functions because of its low-throughput especially at the manual image-acquiring process.
resultsIn this study, we developed a microfluidic chip designed to acquire successive microscopic images of yeast cells suitable for CalMorph image analysis. With the microfluidic chip, the morphology of living cells and morphological changes that occur during the cell cycle were successfully characterized.
conclusionThe microfluidic chip enabled us to acquire the images faster than the conventional method. We speculate that the use of microfluidic chip is effective in acquiring images of large-scale for automated analysis of yeast strains.
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Registered trials
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