Automated classification of mitotic catastrophe by use of the centromere fragmentation morphology.

We present an automated 2-step system for segmentation of cells exhibiting centromere fragmentation. The first step segments individual cells from clumps. We added two new terms, Weighted Local Repelling term (WLRt) and Weighted Gradient term (WGt), in the energy functional of the traditional Chan & Vese based level set method. WLRt was used to generate a repelling force when contours of adjacent cells merged and then penalized the overlap. WGt enhances gradients between overlapping cells. The second step consists of a new algorithm, SBaN (Shape-Based analysis of each nuclei), which extracts features like circularity, major-axis length, minor-axis length, area, and eccentricity from each chromosome to identify cells with centromere fragmentation. The performance of SBaN algorithm for centromere fragmentation detection was statistically evaluated and the results were robust. PMID: 32905704 [PubMed - as supplied by publisher]
Source: Biochemistry and Cell Biology - Category: Biochemistry Authors: Tags: Biochem Cell Biol Source Type: research