ArticleScientific reports2018
3D Shape Modeling for Cell Nuclear Morphological Analysis and Classification.
Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed.
- Impacts of Morphology and Elasticity on Cancer Cell Deformation in Shear Flows.Annals of biomedical engineering · 2026Article
- From cells to pixels: A decision tree for designing bioimage analysis pipelines.Journal of microscopy · 2025Article
- Non-uniform impact of extracellular osmotic variations at subcellular level.Cell death discovery · 2025Article
- Review
- Characterizing Cellular Physiological States with Three-Dimensional Shape Descriptors for Cell Membranes.Membranes · 2024Article
- Deep Learning Powered Identification of Differentiated Early Mesoderm Cells from Pluripotent Stem Cells.Cells · 2024Article
- Optical imaging of the small intestine immune compartment across scales.Communications biology · 2023Article
- Review
- SOCRAT: a Dynamic Web Toolbox for Interactive Data Processing, Analysis and Visualization.Information (Basel) · 2022Article
- CMOS based capacitive sensor matrix for characterizing and tracking of biological cells.Scientific reports · 2022Article
- Review
- Valproic acid-induced changes of 4D nuclear morphology in astrocyte cells.Molecular biology of the cell · 2021Article
- NMJ-Analyser identifies subtle early changes in mouse models of neuromuscular disease.Scientific reports · 2021Article
- Estimation of three-dimensional chromatin morphology for nuclear classification and characterisation.Scientific reports · 2021Article
- Article
- A novel method for detecting morphologically similar crops and weeds based on the combination of contour masks and filtered Local Binary Pattern operators.GigaScience · 2020Article
- 3DMMS: robust 3D Membrane Morphological Segmentation of C. elegans embryo.BMC bioinformatics · 2019Article
- Article
- Hypothesis: Caco-2 cell rotational 3D mechanogenomic turing patterns have clinical implications to colon crypts.Journal of cellular and molecular medicine · 2018Article
Corrections and comments
- Erratum issued
Authors and funding
18 authors.
Funding
Abstract
Quantitative analysis of morphological changes in a cell nucleus is important for the understanding of nuclear architecture and its relationship with pathological conditions such as cancer. However, dimensionality of imaging data, together with a great variability of nuclear shapes, presents challenges for 3D morphological analysis. Thus, there is a compelling need for robust 3D nuclear morphometric techniques to carry out population-wide analysis. We propose a new approach that combines modeling, analysis, and interpretation of morphometric characteristics of cell nuclei and nucleoli in 3D. We used robust surface reconstruction that allows accurate approximation of 3D object boundary. Then, we computed geometric morphological measures characterizing the form of cell nuclei and nucleoli. Using these features, we compared over 450 nuclei with about 1,000 nucleoli of epithelial and mesenchymal prostate cancer cells, as well as 1,000 nuclei with over 2,000 nucleoli from serum-starved and proliferating fibroblast cells. Classification of sets of 9 and 15 cells achieved accuracy of 95.4% and 98%, respectively, for prostate cancer cells, and 95% and 98% for fibroblast cells. To our knowledge, this is the first attempt to combine these methods for 3D nuclear shape modeling and morphometry into a highly parallel pipeline workflow for morphometric analysis of thousands of nuclei and nucleoli in 3D.
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