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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...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Optical Society of America
2012
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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. |
format | Online Article Text |
id | pubmed-3447553 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Optical Society of America |
record_format | MEDLINE/PubMed |
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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