3D Shape Modeling for Cell Nuclear Morphological Analysis and Classification.

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. U

SUBMITTER: Kalinin AA 

PROVIDER: S-EPMC6135819 | biostudies-literature | 2018 Sep

REPOSITORIES: biostudies-literature