ArticleBMC systems biology2010
Automated characterization of cell shape changes during amoeboid motility by skeletonization.
Article in BMC systems biology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
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Who cites it
23 citing papers in PubMed, 38 citations in OpenAlex.
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- Three-dimensional imaging of biological cells using surface plasmon coupled emission.Journal of biomedical optics · 2022Article
- Orientation of Cell Polarity by Chemical Gradients.Annual review of biophysics · 2022Review
- Analysis of protrusion dynamics in amoeboid cell motility by means of regularized contour flows.PLoS computational biology · 2021Article
- Tools for computational analysis of moving boundary problems in cellular mechanobiology.Wiley interdisciplinary reviews. Systems biology and medicine · 2020Review
- Shape-to-graph mapping method for efficient characterization and classification of complex geometries in biological images.PLoS computational biology · 2020Article
- Profiling cellular morphodynamics by spatiotemporal spectrum decomposition.PLoS computational biology · 2018Article
- PaCeQuant: A Tool for High-Throughput Quantification of Pavement Cell Shape Characteristics.Plant physiology · 2017Article
- A Graphical User Interface for Software-assisted Tracking of Protein Concentration in Dynamic Cellular Protrusions.Journal of visualized experiments : JoVE · 2017Article
- Automated analysis of filopodial length and spatially resolved protein concentration via adaptive shape tracking.Molecular biology of the cell · 2016Article
- High fidelity information processing in folic acid chemotaxis of Dictyostelium amoebae.Journal of the Royal Society, Interface · 2013Article
- Distinct cell shapes determine accurate chemotaxis.Scientific reports · 2013Article
- A developmental framework for complex plasmodesmata formation revealed by large-scale imaging of the Arabidopsis leaf epidermis.The Plant cell · 2013Article
- Interaction of motility, directional sensing, and polarity modules recreates the behaviors of chemotaxing cells.PLoS computational biology · 2013Article
- Bringing the physical sciences into your cell biology research.Molecular biology of the cell · 2012Article
- Understanding the cooperative interaction between myosin II and actin cross-linkers mediated by actin filaments during mechanosensation.Biophysical journal · 2012Article
- Detailed interrogation of trypanosome cell biology via differential organelle staining and automated image analysis.BMC biology · 2012Article
- Cell shape dynamics: from waves to migration.PLoS computational biology · 2012Article
- Recent advances in morphological cell image analysis.Computational and mathematical methods in medicine · 2012Review
- A stochastic model for chemotaxis based on the ordered extension of pseudopods.Biophysical journal · 2010Article
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6 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundThe ability of a cell to change shape is crucial for the proper function of many cellular processes, including cell migration. One type of cell migration, referred to as amoeboid motility, involves alternating cycles of morphological expansion and retraction. Traditionally, this process has been characterized by a number of parameters providing global information about shape changes, which are insufficient to distinguish phenotypes based on local pseudopodial activities that typify amoeboid motility.
resultsWe developed a method that automatically detects and characterizes pseudopodial behavior of cells. The method uses skeletonization, a technique from morphological image processing to reduce a shape into a series of connected lines. It involves a series of automatic algorithms including image segmentation, boundary smoothing, skeletonization and branch pruning, and takes into account the cell shape changes between successive frames to detect protrusion and retraction activities. In addition, the activities are clustered into different groups, each representing the protruding and retracting history of an individual pseudopod.
conclusionsWe illustrate the algorithms on movies of chemotaxing Dictyostelium cells and show that our method makes it possible to capture the spatial and temporal dynamics as well as the stochastic features of the pseudopodial behavior. Thus, the method provides a powerful tool for investigating amoeboid motility.
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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.