Research Papers: Imaging

Segmentation of nucleus and cytoplasm of a single cell in three-dimensional tomogram using optical coherence tomography

[+] Author Affiliations
Chia-Kai Chang, Chien-Chung Tsai, Wan-Yi Hsu, Sheng-Lung Huang

National Taiwan University, Graduate Institute of Photonics and Optoelectronics, Taipei, Taiwan

Jau-Shiuh Chen, Yi-Hua Liao, Yi-Shuan Sheen, Jin-Bon Hong, Ming-Yi Lin, Jeng-Wei Tjiu

National Taiwan University, Department of Dermatology, National Taiwan University Hospital and College of Medicine, Taipei, Taiwan

J. Biomed. Opt. 22(3), 036003 (Mar 02, 2017). doi:10.1117/1.JBO.22.3.036003
History: Received October 1, 2016; Accepted February 13, 2017
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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.

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© 2017 Society of Photo-Optical Instrumentation Engineers

Citation

Chia-Kai Chang ; Chien-Chung Tsai ; Wan-Yi Hsu ; Jau-Shiuh Chen ; Yi-Hua Liao, et al.
"Segmentation of nucleus and cytoplasm of a single cell in three-dimensional tomogram using optical coherence tomography", J. Biomed. Opt. 22(3), 036003 (Mar 02, 2017). ; http://dx.doi.org/10.1117/1.JBO.22.3.036003


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