pomBseen: An Automated Pipeline for Analysis of Fission Yeast Images
Abstract
pomBseen is a image analysis pipeline for the quantitation of fission yeast micrographs containing a brightfield channel and up to two fluorescent channels. It accepts a wide range of image formats and produces a table with the number, size and total and nuclear fluorescent intensities of the cells in the image. Written in MATLAB, pomBseen is also available as a standalone application.
02 /Specification & Classification
Click any tag to browse matching papers- Organism
- Assay
- Research Focus
- Approach
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- PuBliCiTy: Python Bioimage Computing Toolkit
Marcelo Cicconet·bioRxiv·Mar 1, 2021
- Automated tracking of S. pombe spindle elongation dynamics
A. S. M. Uzsoy, P. Zareiesfandabadi, … M. W. Elting·bioRxiv·Oct 9, 2020
- FULLY AUTOMATED POINT SPREAD FUNCTION ANALYSIS USING PYCALIBRATE
A. D. Corbett, J. Metz, M. Gintoli·bioRxiv·Oct 11, 2022
- Pomegranate: 2D segmentation and 3D reconstruction for fission yeast and other radially symmetric cells
E. K. Baybay, E. Esposito, S. Hauf·bioRxiv·Jul 7, 2020
- Automated, image-based quantification of peroxisome characteristics with perox-per-cell
Maxwell Lewis Neal, Nandini Shukla, … John D. Aitchison·BioinformaticsPeer-reviewed·Jul 1, 2024
- CellProfiler Analyst: interactive data exploration, analysis, and classification of large biological image sets
David Dao, Adam N Fraser, … Anne E. Carpenter·BioinformaticsPeer-reviewed·Jun 26, 2016