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Cell death detection by quantitative three-dimensional single-cell tomography

Ultrahigh-resolution optical coherence tomography (UR-OCT) has been used for the first time to our knowledge to study single-cell basal cell carcinoma (BCC) in vitro. This noninvasive, in situ, label-free technique with deep imaging depth enables three-dimensional analysis of scattering properties o...

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Autores principales: Cheng, Nai-Chia, Hsieh, Tsung-Hsun, Wang, Yu-Ta, Lai, Chien-Chih, Chang, Chia-Kai, Lin, Ming-Yi, Huang, Ding-Wei, Tjiu, Jeng-Wei, Huang, Sheng-Lung
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Optical Society of America 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3447553/
https://www.ncbi.nlm.nih.gov/pubmed/23024905
http://dx.doi.org/10.1364/BOE.3.002111
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author Cheng, Nai-Chia
Hsieh, Tsung-Hsun
Wang, Yu-Ta
Lai, Chien-Chih
Chang, Chia-Kai
Lin, Ming-Yi
Huang, Ding-Wei
Tjiu, Jeng-Wei
Huang, Sheng-Lung
author_facet Cheng, Nai-Chia
Hsieh, Tsung-Hsun
Wang, Yu-Ta
Lai, Chien-Chih
Chang, Chia-Kai
Lin, Ming-Yi
Huang, Ding-Wei
Tjiu, Jeng-Wei
Huang, Sheng-Lung
author_sort Cheng, Nai-Chia
collection PubMed
description Ultrahigh-resolution optical coherence tomography (UR-OCT) has been used for the first time to our knowledge to study single-cell basal cell carcinoma (BCC) in vitro. This noninvasive, in situ, label-free technique with deep imaging depth enables three-dimensional analysis of scattering properties of single cells with cellular spatial resolution. From three-dimensional UR-OCT imaging, live and dead BCC cells can be easily identified based on morphological observation. We developed a novel method to automatically extract characteristic parameters of a single cell from data volume, and quantitative comparison and parametric analysis were performed. The results demonstrate the capability of UR-OCT to detect cell death at the cellular level.
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spelling pubmed-34475532012-09-28 Cell death detection by quantitative three-dimensional single-cell tomography Cheng, Nai-Chia Hsieh, Tsung-Hsun Wang, Yu-Ta Lai, Chien-Chih Chang, Chia-Kai Lin, Ming-Yi Huang, Ding-Wei Tjiu, Jeng-Wei Huang, Sheng-Lung Biomed Opt Express Cell Studies Ultrahigh-resolution optical coherence tomography (UR-OCT) has been used for the first time to our knowledge to study single-cell basal cell carcinoma (BCC) in vitro. This noninvasive, in situ, label-free technique with deep imaging depth enables three-dimensional analysis of scattering properties of single cells with cellular spatial resolution. From three-dimensional UR-OCT imaging, live and dead BCC cells can be easily identified based on morphological observation. We developed a novel method to automatically extract characteristic parameters of a single cell from data volume, and quantitative comparison and parametric analysis were performed. The results demonstrate the capability of UR-OCT to detect cell death at the cellular level. Optical Society of America 2012-08-13 /pmc/articles/PMC3447553/ /pubmed/23024905 http://dx.doi.org/10.1364/BOE.3.002111 Text en ©2012 Optical Society of America http://creativecommons.org/licenses/by-nc-nd/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 Unported License, which permits download and redistribution, provided that the original work is properly cited. This license restricts the article from being modified or used commercially.
spellingShingle Cell Studies
Cheng, Nai-Chia
Hsieh, Tsung-Hsun
Wang, Yu-Ta
Lai, Chien-Chih
Chang, Chia-Kai
Lin, Ming-Yi
Huang, Ding-Wei
Tjiu, Jeng-Wei
Huang, Sheng-Lung
Cell death detection by quantitative three-dimensional single-cell tomography
title Cell death detection by quantitative three-dimensional single-cell tomography
title_full Cell death detection by quantitative three-dimensional single-cell tomography
title_fullStr Cell death detection by quantitative three-dimensional single-cell tomography
title_full_unstemmed Cell death detection by quantitative three-dimensional single-cell tomography
title_short Cell death detection by quantitative three-dimensional single-cell tomography
title_sort cell death detection by quantitative three-dimensional single-cell tomography
topic Cell Studies
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3447553/
https://www.ncbi.nlm.nih.gov/pubmed/23024905
http://dx.doi.org/10.1364/BOE.3.002111
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