ArticlePhilosophical transactions of the Royal Society of London. Series B, Biological sciences2017
Inferring cellular forces from image stacks.
Article in Philosophical transactions of the Royal Society of London. Series B, Biological sciences, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
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Who cites it
22 citing papers in PubMed.
- A computational pipeline for spatial mechano-transcriptomics.Nature methods · 2025Article
- Unsupervised spatiotemporal classification of deformation patterns of embryonic tissues matches their fate map.iScience · 2025Article
- Apico-basal intercalations enable the integrity of curved epithelia.Computational and structural biotechnology journal · 2025Article
- Peeking into the future: inferring mechanics in dynamical tissues.Biochemical Society transactions · 2024Review
- Image-based force inference by biomechanical simulation.PLoS computational biology · 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
- Characterising the mechanics of cell-cell adhesion in plants.Quantitative plant biology · 2022Review
- Article
- Measuring mechanical stress in living tissues.Nature reviews. Physics · 2020Article
- Nanoparticles as Versatile Tools for Mechanotransduction in Tissues and Organoids.Frontiers in bioengineering and biotechnology · 2020Review
- DLITE Uses Cell-Cell Interface Movement to Better Infer Cell-Cell Tensions.Biophysical journal · 2019Article
- Tools to reverse-engineer multicellular systems: case studies using the fruit fly.Journal of biological engineering · 2019Review
- Article
- Dynamic interplay of cell fate, polarity and force generation in ascidian embryos.Current opinion in genetics & development · 2018Review
- Quantifying compressive forces between living cell layers and within tissues using elastic round microgels.Nature communications · 2018Article
- Coordination of Receptor Tyrosine Kinase Signaling and Interfacial Tension Dynamics Drives Radial Intercalation and Tube Elongation.Developmental cell · 2018Article
- A scheme for 3-dimensional morphological reconstruction and force inference in the early C. elegans embryo.PloS one · 2018Article
- Quantifying forces in cell biology.Nature cell biology · 2017Review
- Vertex models: from cell mechanics to tissue morphogenesis.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2017Review
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Authors and funding
6 authors.
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Abstract
Although the importance of cellular forces to a wide range of embryogenesis and disease processes is widely recognized, measuring these forces is challenging, especially in three dimensions. Here, we introduce CellFIT-3D, a force inference technique that allows tension maps for three-dimensional cellular systems to be estimated from image stacks. Like its predecessors, video force microscopy and CellFIT, this cell mechanics technique assumes boundary-specific interfacial tensions to be the primary drivers, and it constructs force-balance equations based on triple junction (TJ) dihedral angles. The technique involves image processing, segmenting of cells, grouping of cell outlines, calculation of dihedral planes, averaging along three-dimensional TJs, and matrix equation assembly and solution. The equations tend to be strongly overdetermined, allowing indistinct TJs to be ignored and solution error estimates to be determined. Application to clean and noisy synthetic data generated using Surface Evolver gave tension errors of 1.6-7%, and analyses of eight-cell murine embryos gave estimated errors smaller than the 10% uncertainty of companion aspiration experiments. Other possible areas of application include morphogenesis, cancer metastasis and tissue engineering.This article is part of the themed issue 'Systems morphodynamics: understanding the development of tissue hardware'.
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