ArticlePloS one2023
pomBseen: An automated pipeline for analysis of fission yeast images.
Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
3 citing papers in PubMed.
- Post-Transcriptional Size-Dependent Expression of the Fission Yeast Cdc13 Cyclin.bioRxiv : the preprint server for biology · 2026Article
- A Rapidly Inducible DNA Double-Strand Break to Monitor Telomere Formation, DNA Repair, and Checkpoint Activation.Methods in molecular biology (Clifton, N.J.) · 2025Article
- Understanding the molecular mechanisms of human diseases: the benefits of fission yeasts.Microbial cell (Graz, Austria) · 2024Article
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Authors and funding
2 authors.
Funding
Abstract
Fission yeast is a model organism widely used for studies of eukaryotic cell biology. As such, it is subject to bright-field and fluorescent microscopy. Manual analysis of such data can be laborious and subjective. Therefore, we have developed pomBseen, an image analysis pipeline for the quantitation of fission yeast micrographs containing a bright-field channel and up to two fluorescent channels. It accepts a wide range of image formats and produces a table with the size and total and nuclear fluorescent intensities of the cells in the image. Benchmarking of the pipeline against manually annotated datasets demonstrates that it reliably segments cells and acquires their image parameters. Written in MATLAB, pomBseen is also available as a standalone application.
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Registered trials
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