ArticlePloS one2018
A scheme for 3-dimensional morphological reconstruction and force inference in the early C. elegans embryo.
Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- EmbSAM: cell boundary localization and Segment Anything Model for fast images of developing embryos.Communications biology · 2025Article
- An effective method for quantification, visualization, and analysis of 3D cell shape during early embryogenesis.Quantitative biology (Beijing, China) · 2025Article
- Image-based force inference by biomechanical simulation.PLoS computational biology · 2024Article
- Characterizing Cellular Physiological States with Three-Dimensional Shape Descriptors for Cell Membranes.Membranes · 2024Article
- Embryo mechanics cartography: inference of 3D force atlases from fluorescence microscopy.Nature methods · 2023Article
- Cell shape characterization, alignment, and comparison using FlowShape.Bioinformatics (Oxford, England) · 2023Article
- Forces in stem cells and cancer stem cells.Cells & development · 2022Review
- Delineating the mechanisms and design principles ofComputational and structural biotechnology journal · 2022Review
- Establishment of a morphological atlas of the Caenorhabditis elegans embryo using deep-learning-based 4D segmentation.Nature communications · 2020Article
- Reliable estimation of membrane curvature for cryo-electron tomography.PLoS computational biology · 2020Article
- Measuring mechanical stress in living tissues.Nature reviews. Physics · 2020Article
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Authors and funding
5 authors.
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Abstract
In this study, we present a scheme for the reconstruction of cellular morphology and the inference of mechanical forces in the early C. elegans embryo. We have developed and bench-marked a morphological reconstruction scheme that transforms flourescence-based in vivo images of membranes into a point cloud of smoothed surface patches, which facilitates an accurate estimation of membrane curvatures and the angles between membranes. Assuming an isotropic and homogeneous distribution of tensions along individual membranes, we infer a pattern of forces that are 7% deviated from force balance at edges, and 10% deviated from the Young-Laplace relation across membranes. We demonstrate the stability of our inference scheme via a sensitivity analysis, and the reproducibility of our image-analysis and force inference pipelines.
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