3DMMS: robust 3D membrane morphological segmentation of C. elegans embryo
Published in BMC bioinformatics, 2020
Jianfeng Cao, Ming-Kin Wong, Zhongying Zhao, and Hong Yan. BMC bioinformatics. 2019
Abstract
Three-dimensional Membrane Morphological Segmentation (3DMMS) makes use of several novel techniques, such as statistical intensity normalization, and region filters, to pre-process the cell images. We then segment membrane stacks based on watershed algorithms. 3DMMS achieves high robustness and precision over different time points (development stages). It is compared with two state-of-the-art algorithms, RACE and BCOMS. Quantitative analysis shows 3DMMS performs best with the average Dice ratio of 97.7% at six time points. In addition, 3DMMS also provides time series of internal and external shape features of C. elegans.
- 3DMMS published by BMC Bioinformatics.