ArticleCytometry. Part A : the journal of the International Society for Analytical Cytology2010
A generative model of microtubule distributions, and indirect estimation of its parameters from fluorescence microscopy images.
Article in Cytometry. Part A : the journal of the International Society for Analytical Cytology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
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Who cites it
25 citing papers in PubMed.
- This Microtubule Does Not Exist: Super-Resolution Microscopy Image Generation by a Diffusion Model.Small methods · 2025Article
- Microtubule regulation in cancer cells.Frontiers in cell and developmental biology · 2025Article
- Learning Morphological, Spatial, and Dynamic Models of Cellular Components.Methods in molecular biology (Clifton, N.J.) · 2024Article
- DBlink: dynamic localization microscopy in super spatiotemporal resolution via deep learning.Nature methods · 2023Article
- Use of artificial neural networks to identify and analyze polymerized actin-based cytoskeletal structures in 3D confocal images.Quantitative biology (Beijing, China) · 2023Article
- Identification of Inhibitors of Tubulin Polymerization Using a CRISPR-Edited Cell Line with Endogenous Fluorescent Tagging of β-Tubulin and Histone H1.Biomolecules · 2023Article
- A two-stage method for automated detection of ring-like endosomes in fluorescent microscopy images.PloS one · 2019Article
- CellOrganizer: Learning and Using Cell Geometries for Spatial Cell Simulations.Methods in molecular biology (Clifton, N.J.) · 2019Article
- Extracting microtubule networks from superresolution single-molecule localization microscopy data.Molecular biology of the cell · 2017Article
- Subcellular protein expression models for microsatellite instability in colorectal adenocarcinoma tissue images.BMC bioinformatics · 2016Article
- Point process models for localization and interdependence of punctate cellular structures.Cytometry. Part A : the journal of the International Society for Analytical Cytology · 2016Article
- Building cell models and simulations from microscope images.Methods (San Diego, Calif.) · 2016Review
- Unbiased Rare Event Sampling in Spatial Stochastic Systems Biology Models Using a Weighted Ensemble of Trajectories.PLoS computational biology · 2016Article
- Automated Learning of Subcellular Variation among Punctate Protein Patterns and a Generative Model of Their Relation to Microtubules.PLoS computational biology · 2015Article
- Localizing and extracting filament distributions from microscopy images.Journal of microscopy · 2015Article
- Localizing and extracting filament distributions from microscopy images.Journal of microscopy · 2013Article
- New methods for quantifying and visualizing information from images of cells: An overview.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2013Review
- Toward the virtual cell: automated approaches to building models of subcellular organization "learned" from microscopy images.BioEssays : news and reviews in molecular, cellular and developmental biology · 2012Review
- CellOrganizer: Image-derived models of subcellular organization and protein distribution.Methods in cell biology · 2012Article
- Estimating microtubule distributions from 2D immunofluorescence microscopy images reveals differences among human cultured cell lines.PloS one · 2012Article
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3 authors.
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Abstract
The microtubule network plays critical roles in many cellular processes, and quantitative models of how its organization varies across cell types and conditions are required for understanding those roles and as input to cell simulations. High-throughput image acquisition technologies are potentially valuable for this purpose, but do not provide sufficient resolution for current analysis methods that rely on tracing of individual microtubules. We describe a parametric conditional model of microtubule distribution that can generate a microtubule network in intact cells using a persistent random walk approach. The model parameters are physically meaningful as they directly describe the spatial distribution of microtubules and include the number of microtubules as well as the mean of the length distribution. We also present an indirect method for estimating the parameters of the model from three-dimensional fluorescence microscope images of cells that relies on comparing acquired images with simulated images generated from the model. Our results show that our method can reasonably recover parameters for a given query image, and we present the distributions of parameters estimated by our method for a collection of HeLa cell images. (c) 2010 International Society for Advancement of Cytometry.
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