2 March 2017 Segmentation of nucleus and cytoplasm of a single cell in three-dimensional tomogram using optical coherence tomography
Author Affiliations +
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    μ m in lateral and 0.9    μ m 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.
© 2017 Society of Photo-Optical Instrumentation Engineers (SPIE)
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, Sheng-Lung Huang, "Segmentation of nucleus and cytoplasm of a single cell in three-dimensional tomogram using optical coherence tomography," Journal of Biomedical Optics 22(3), 036003 (2 March 2017). https://doi.org/10.1117/1.JBO.22.3.036003 . Submission: Received: 1 October 2016; Accepted: 13 February 2017
Received: 1 October 2016; Accepted: 13 February 2017; Published: 2 March 2017
JOURNAL ARTICLE
12 PAGES


SHARE
Back to Top