Method for Quantitative Study of Airway Functional Microanatomy Using Micro-Optical Coherence Tomography

We demonstrate the use of a high resolution form of optical coherence tomography, termed micro-OCT (μOCT), for investigating the functional microanatomy of airway epithelia. μOCT captures several key parameters governing the function of the airway surface (airway surface liquid depth, periciliary li...

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Main Authors: Diephuis, Bradford J., Tearney, Guillermo J., Liu, Linbo, Chu, Kengyeh K., Houser, Grace H., Li, Yao, Wilsterman, Eric J., Shastry, Suresh, Dierksen, Gregory, Birket, Susan E., Byan-Parker, Suzanne, Grizzle, William E., Sorscher, Eric J., Rowe, Steven M.
Other Authors: Harvard University--MIT Division of Health Sciences and Technology
Format: Article
Language:en_US
Published: Public Library of Science 2013
Online Access:http://hdl.handle.net/1721.1/78568
https://orcid.org/0000-0002-3402-6634
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author Diephuis, Bradford J.
Tearney, Guillermo J.
Liu, Linbo
Chu, Kengyeh K.
Houser, Grace H.
Li, Yao
Wilsterman, Eric J.
Shastry, Suresh
Dierksen, Gregory
Birket, Susan E.
Birket, Susan E.
Byan-Parker, Suzanne
Grizzle, William E.
Sorscher, Eric J.
Rowe, Steven M.
author2 Harvard University--MIT Division of Health Sciences and Technology
author_facet Harvard University--MIT Division of Health Sciences and Technology
Diephuis, Bradford J.
Tearney, Guillermo J.
Liu, Linbo
Chu, Kengyeh K.
Houser, Grace H.
Li, Yao
Wilsterman, Eric J.
Shastry, Suresh
Dierksen, Gregory
Birket, Susan E.
Birket, Susan E.
Byan-Parker, Suzanne
Grizzle, William E.
Sorscher, Eric J.
Rowe, Steven M.
author_sort Diephuis, Bradford J.
collection MIT
description We demonstrate the use of a high resolution form of optical coherence tomography, termed micro-OCT (μOCT), for investigating the functional microanatomy of airway epithelia. μOCT captures several key parameters governing the function of the airway surface (airway surface liquid depth, periciliary liquid depth, ciliary function including beat frequency, and mucociliary transport rate) from the same series of images and without exogenous particles or labels, enabling non-invasive study of dynamic phenomena. Additionally, the high resolution of μOCT reveals distinguishable phases of the ciliary stroke pattern and glandular extrusion. Images and functional measurements from primary human bronchial epithelial cell cultures and excised tissue are presented and compared with measurements using existing gold standard methods. Active secretion from mucus glands in tissue, a key parameter of epithelial function, was also observed and quantified.
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spelling mit-1721.1/785682022-09-30T09:55:09Z Method for Quantitative Study of Airway Functional Microanatomy Using Micro-Optical Coherence Tomography Diephuis, Bradford J. Tearney, Guillermo J. Liu, Linbo Chu, Kengyeh K. Houser, Grace H. Li, Yao Wilsterman, Eric J. Shastry, Suresh Dierksen, Gregory Birket, Susan E. Birket, Susan E. Byan-Parker, Suzanne Grizzle, William E. Sorscher, Eric J. Rowe, Steven M. Harvard University--MIT Division of Health Sciences and Technology Diephuis, Bradford J. Tearney, Guillermo J. We demonstrate the use of a high resolution form of optical coherence tomography, termed micro-OCT (μOCT), for investigating the functional microanatomy of airway epithelia. μOCT captures several key parameters governing the function of the airway surface (airway surface liquid depth, periciliary liquid depth, ciliary function including beat frequency, and mucociliary transport rate) from the same series of images and without exogenous particles or labels, enabling non-invasive study of dynamic phenomena. Additionally, the high resolution of μOCT reveals distinguishable phases of the ciliary stroke pattern and glandular extrusion. Images and functional measurements from primary human bronchial epithelial cell cultures and excised tissue are presented and compared with measurements using existing gold standard methods. Active secretion from mucus glands in tissue, a key parameter of epithelial function, was also observed and quantified. 2013-04-17T16:53:04Z 2013-04-17T16:53:04Z 2013-01 2012-10 Article http://purl.org/eprint/type/JournalArticle 1932-6203 http://hdl.handle.net/1721.1/78568 Liu, Linbo et al. “Method for Quantitative Study of Airway Functional Microanatomy Using Micro-Optical Coherence Tomography.” Ed. Michael Myerburg. PLoS ONE 8.1 (2013): e54473. https://orcid.org/0000-0002-3402-6634 en_US http://dx.doi.org/10.1371/journal.pone.0054473 PLoS ONE Creative Commons Attribution http://creativecommons.org/licenses/by/2.5/ application/pdf Public Library of Science PLoS
spellingShingle Diephuis, Bradford J.
Tearney, Guillermo J.
Liu, Linbo
Chu, Kengyeh K.
Houser, Grace H.
Li, Yao
Wilsterman, Eric J.
Shastry, Suresh
Dierksen, Gregory
Birket, Susan E.
Birket, Susan E.
Byan-Parker, Suzanne
Grizzle, William E.
Sorscher, Eric J.
Rowe, Steven M.
Method for Quantitative Study of Airway Functional Microanatomy Using Micro-Optical Coherence Tomography
title Method for Quantitative Study of Airway Functional Microanatomy Using Micro-Optical Coherence Tomography
title_full Method for Quantitative Study of Airway Functional Microanatomy Using Micro-Optical Coherence Tomography
title_fullStr Method for Quantitative Study of Airway Functional Microanatomy Using Micro-Optical Coherence Tomography
title_full_unstemmed Method for Quantitative Study of Airway Functional Microanatomy Using Micro-Optical Coherence Tomography
title_short Method for Quantitative Study of Airway Functional Microanatomy Using Micro-Optical Coherence Tomography
title_sort method for quantitative study of airway functional microanatomy using micro optical coherence tomography
url http://hdl.handle.net/1721.1/78568
https://orcid.org/0000-0002-3402-6634
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