Segmentation of nucleus and cytoplasm of a single cell in three-dimensional tomogram using optical coherence tomography
Journal
Journal of Biomedical Optics
Journal Volume
22
Journal Issue
3
Pages
187-194
Date Issued
2017
Author(s)
C. K. Chang
C. C. Tsai
W. Y. Hsu
J. S. Chen
Y. H. Liao
Y. S. Sheen
J. B. Hong
M. Y. Lin
J. W. Tjiu
S. L. Huang
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 ?? ? m in lateral and 0.9 ?? ? 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.
Type
journal article