1. Segmentation of nucleus and cytoplasm of a single cell in three-dimensional tomogram using optical coherence tomography.
- Author
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Chia-Kai Chang, Chien-Chung Tsai, Wan-Yi Hsu, Jau-Shiuh Chen, Yi-Hua Liao, Yi-Shuan Sheen, Jin-Bon Hong, Ming-Yi Lin, Jeng-Wei Tjiu, and Sheng-Lung Huang
- Subjects
CELL membranes ,CELL nuclei ,OPTICAL coherence tomography ,INTERFEROMETRY ,SEARCH algorithms ,STANDARD deviations - Abstract
A random rayburst sampling (RRBS) framework was developed to detect the nucleus and cell membrane boundaries in three-dimensional (3-D) space. Raw images were acquired through a full-field optical coherence tomography system with submicron resolution--i.e., 0.8 µm in lateral and 0.9 µm in axial directions. The near-isometric resolution enables 3-D segmentation of a nucleus and cell membrane for determining the volumetric nuclear-to-cytoplasmic (N/C) ratio of a single cell. The RRBS framework was insensitive to the selection of seeds and image pixel noise. The robustness of the RRBS framework was verified through the convergence of the N/C ratio searching algorithm. The relative standard deviation of the N/C ratio between different randomly selected seed sets was only 2%. This technique is useful for various in vitro assays on single-cell analyses. [ABSTRACT FROM AUTHOR]
- Published
- 2017
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