ArticleDevelopment (Cambridge, England)2018
Morphometrics of complex cell shapes: lobe contribution elliptic Fourier analysis (LOCO-EFA).
Article in Development (Cambridge, England), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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Who cites it
21 citing papers in PubMed, 58 citations in OpenAlex.
- ShapeSpaceExplorer: Analysis of morphological transitions in migrating cells using similarity-based shape space mapping.PLoS computational biology · 2026Article
- The Turing heritage for plant biology: all spots and stripes?Quantitative plant biology · 2025Article
- Cell deformability drives fluid-to-fluid phase transition in active cell monolayers.Science advances · 2024Article
- Rho of Plants patterning: linking mathematical models and molecular diversity.Journal of experimental botany · 2024Review
- The shapes of elongating gastruloids are consistent with convergent extension driven by a combination of active cell crawling and differential adhesion.PLoS computational biology · 2024Article
- No cell is an island: characterising the leaf epidermis using epidermalmorph, a new R package.The New phytologist · 2023Article
- Mechano-chemical regulation of complex cell shape formation: Epidermal pavement cells-A case study.Quantitative plant biology · 2023Review
- Using quantitative methods to understand leaf epidermal development.Quantitative plant biology · 2022Review
- MOrgAna: accessible quantitative analysis of organoids with machine learning.Development (Cambridge, England) · 2021Article
- Label-Free Deep Profiling of the Tumor Microenvironment.Cancer research · 2021Article
- Enhanced persistence and collective migration in cooperatively aligning cell clusters.Biophysical journal · 2021Article
- A network-based framework for shape analysis enables accurate characterization of leaf epidermal cells.Nature communications · 2021Article
- Four-dimensional imaging with virtual reality to quantitatively explore jigsaw puzzle-like morphogenesis ofPlant biotechnology (Tokyo, Japan) · 2020Article
- OrgDyn: feature- and model-based characterization of spatial and temporal organoid dynamics.Bioinformatics (Oxford, England) · 2020Article
- ImageJ SurfCut: a user-friendly pipeline for high-throughput extraction of cell contours from 3D image stacks.BMC biology · 2019Article
- Microtubule End-Clustering Maintains a Steady-State Spindle Shape.Current biology : CB · 2019Article
- Of puzzles and pavements: a quantitative exploration of leaf epidermal cell shape.The New phytologist · 2019Article
- Promotion of adipogenesis by JMJD6 requires the AT hook-like domain and is independent of its catalytic function.PloS one · 2019Article
- Quantitative analysis of cell shape and the cytoskeleton in developmental biology.Wiley interdisciplinary reviews. Developmental biology · 2018Review
- Spatiotemporal coordination of cell division and growth during organ morphogenesis.PLoS biology · 2018Article
Corrections and comments
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Authors and funding
5 authors at 1 institution in 2 countries.
Funding
Abstract
Quantifying cell morphology is fundamental to the statistical study of cell populations, and can help unravel mechanisms underlying cell and tissue morphogenesis. Current methods, however, require extensive human intervention, are highly parameter sensitive, or produce metrics that are difficult to interpret biologically. We therefore developed a method, lobe contribution elliptical Fourier analysis (LOCO-EFA), which generates from digitalised two-dimensional cell outlines meaningful descriptors that can be directly matched to morphological features. This is shown by studying well-defined geometric shapes as well as actual biological cells from plant and animal tissues. LOCO-EFA provides a tool to phenotype efficiently and objectively populations of cells, here demonstrated by applying it to the complex shaped pavement cells of
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.