Pomegranate: 2D segmentation and 3D reconstruction for fission yeast and other radially symmetric cells
Abstract
Three-dimensional (3D) segmentation of cells in microscopy images is crucial to accurately capture signals that extend across optical sections. Using brightfield images for segmentation has the advantage of being minimally phototoxic and leaving all other channels available for signals of interest. However, brightfield images only readily provide information for two-dimensional (2D) segmentation. In radially symmetric cells, such as fission yeast and many bacteria, this 2D segmentation can be computationally extruded into the third dimension. However, current methods typically make the simplifying assumption that cells are straight rods. Here, we report Pomegranate, a pipeline that performs the extrusion into 3D using spheres placed along the topological skeletons of the 2D-segmented regions. The diameter of these spheres adapts to the cell diameter at each position. Thus, Pomegranate accurately represents radially symmetric cells in 3D even if cell diameter varies and regardless of whether a cell is straight, bent or curved. We have tested Pomegranate on fission yeast and demonstrate its ability to 3D segment wild-type cells as well as classical size and shape mutants. The pipeline is available as macro for the open-source image analysis software Fiji/ImageJ. 2D segmentations created within or outside Pomegranate can serve as input, thus making this a valuable extension to the image analysis portfolio already available for fission yeast and other radially symmetric cell types.
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
- Penumbria: Advanced 3D cell segmentation for biomedical imaging
Laurids Stockert, Joseph C. Donovan, Herwig Baier·bioRxiv·Jul 1, 2026
- PartSeg, a Tool for Quantitative Feature Extraction From 3D Microscopy Images for Dummies
Grzegorz Bokota, Jacek Sroka, … Dariusz Plewczyński·BMC BioinformaticsPeer-reviewed·Feb 17, 2021
- CELL SEGMENTATION WITH RANDOM FERNS AND GRAPH-CUTS
A. Browet, C. De Vleeschouwer, … I. Migeotte·bioRxiv·Feb 17, 2016
- Universal consensus 3D segmentation of cells from 2D segmented stacks
Felix Zhou, Zach Marin, … Gaudenz M. Danuser·Nature MethodsPeer-reviewed·Nov 1, 2025
- FOCUS-3D: Robust, generalizable volumetric cell segmentation for three-dimensional fluorescence microscopy
Qinghua Zhang, Zeyu Mu, … Guoqiang Yu·bioRxiv·Aug 28, 2026
- Morphologically Constrained and Data Informed Cell Segmentation of Budding Yeast
Elco Bakker, Peter S. Swain, Matthew M. Crane·BioinformaticsPeer-reviewed·Sep 3, 2017