ArticleMembranes2024
Characterizing Cellular Physiological States with Three-Dimensional Shape Descriptors for Cell Membranes.
Article in Membranes, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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Who cites it
5 citing papers in PubMed.
- ModelistsGCN: a multimodal graph convolutional network framework for single-cell spatial transcriptomic cell typing.Briefings in bioinformatics · 2026Article
- Article
- EmbSAM: cell boundary localization and Segment Anything Model for fast images of developing embryos.Communications biology · 2025Article
- Cooperative short- and long-range interactions enable robust symmetry breaking and axis formation.bioRxiv : the preprint server for biology · 2025Article
- Cell lineage-resolved embryonic morphological map reveals signaling associated with cell fate and size asymmetry.Nature communications · 2025Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
The shape of a cell as defined by its membrane can be closely associated with its physiological state. For example, the irregular shapes of cancerous cells and elongated shapes of neuron cells often reflect specific functions, such as cell motility and cell communication. However, it remains unclear whether and which cell shape descriptors can characterize different cellular physiological states. In this study, 12 geometric shape descriptors for a three-dimensional (3D) object were collected from the previous literature and tested with a public dataset of ~400,000 independent 3D cell regions segmented based on fluorescent labeling of the cell membranes in
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Registered trials
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