ReviewIntegrative biology : quantitative biosciences from nano to macro2010
Tools for analyzing cell shape changes during chemotaxis.
Review in Integrative biology : quantitative biosciences from nano to macro, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
10 citing papers in PubMed.
- Membrane Kymograph Generator: a cross-platform GUI software for automated generation and analysis of kymographs along dynamic cell boundaries.Bioinformatics (Oxford, England) · 2026Article
- Membrane Kymograph Generator: A cross-platform GUI software for automated generation and analysis of kymographs along dynamic cell boundaries.bioRxiv : the preprint server for biology · 2026Article
- Quantitative analysis of zebrafish retinal morphology following chronic low-light injury using CellProfiler.Experimental eye research · 2025Article
- High-Speed Atomic Force Microscopy Reveals the Dynamic Interplay of Membrane Proteins is Lipid-Modulated.Small science · 2025Article
- Morphomigrational description as a new approach connecting cell's migration with its morphology.Scientific reports · 2023Article
- Automated Quantitative Analysis of Shape Features in Human Epithelial Monolayers and Spheroids Generated from Colorectal Cancer Cells.Methods in molecular biology (Clifton, N.J.) · 2023Article
- Analyzing temporal dynamics of cell deformation and intracellular movement with video feature aggregation.Biomedical engineering online · 2019Article
- Computational Analysis of Cell Dynamics in Videos with Hierarchical-Pooled Deep-Convolutional Features.Journal of computational biology : a journal of computational molecular cell biology · 2018Article
- Recent advances in morphological cell image analysis.Computational and mathematical methods in medicine · 2012Review
- Excitable behavior in amoeboid chemotaxis.Wiley interdisciplinary reviews. Systems biology and medicineReview
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
Chemotaxis refers to the ability of cells to sense the direction of external chemical gradients and respond by migrating towards the source. A thorough understanding of the chemotactic response of amoebae and neutrophils requires careful quantification of the cell shape changes observed during cell movement. The stochastic nature of this response calls for a statistical characterization of cellular morphology and this requires the processing of large data sets. For this reason, automatic image analysis algorithms are highly desirable and are becoming increasingly available. These usually include a combination of techniques from image segmentation, morphological transformations, as well as the incorporation of numerical algorithms and physical models. Here we review recent developments in the tracking and understanding of motile chemotaxing cells, with a particular emphasis on the description of pseudopodial activity in chemotactic Dictyostelium cells.
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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.