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A combined method to quantify the retinal metabolic rate of oxygen using photoacoustic ophthalmoscopy and optical coherence tomography
Quantitatively determining physiological parameters at a microscopic level in the retina furthers the understanding of the molecular pathways of blinding diseases, such as diabetic retinopathy and glaucoma. An essential parameter, which has yet to be quantified noninvasively, is the retinal oxygen m...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4185377/ https://www.ncbi.nlm.nih.gov/pubmed/25283870 http://dx.doi.org/10.1038/srep06525 |
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author | Song, Wei Wei, Qing Liu, Wenzhong Liu, Tan Yi, Ji Sheibani, Nader Fawzi, Amani A. Linsenmeier, Robert A. Jiao, Shuliang Zhang, Hao F. |
author_facet | Song, Wei Wei, Qing Liu, Wenzhong Liu, Tan Yi, Ji Sheibani, Nader Fawzi, Amani A. Linsenmeier, Robert A. Jiao, Shuliang Zhang, Hao F. |
author_sort | Song, Wei |
collection | PubMed |
description | Quantitatively determining physiological parameters at a microscopic level in the retina furthers the understanding of the molecular pathways of blinding diseases, such as diabetic retinopathy and glaucoma. An essential parameter, which has yet to be quantified noninvasively, is the retinal oxygen metabolic rate (rMRO(2)). Quantifying rMRO(2) is challenging because two parameters, the blood flow rate and hemoglobin oxygen saturation (sO(2)), must be measured together. We combined photoacoustic ophthalmoscopy (PAOM) with spectral domain-optical coherence tomography (SD-OCT) to tackle this challenge, in which PAOM measured the sO(2) and SD-OCT mapped the blood flow rate. We tested the integrated system on normal wild-type rats, in which the measured rMRO(2) was 297.86 ± 70.23 nl/minute. This quantitative method may shed new light on both fundamental research and clinical care in ophthalmology in the future. |
format | Online Article Text |
id | pubmed-4185377 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-41853772014-10-17 A combined method to quantify the retinal metabolic rate of oxygen using photoacoustic ophthalmoscopy and optical coherence tomography Song, Wei Wei, Qing Liu, Wenzhong Liu, Tan Yi, Ji Sheibani, Nader Fawzi, Amani A. Linsenmeier, Robert A. Jiao, Shuliang Zhang, Hao F. Sci Rep Article Quantitatively determining physiological parameters at a microscopic level in the retina furthers the understanding of the molecular pathways of blinding diseases, such as diabetic retinopathy and glaucoma. An essential parameter, which has yet to be quantified noninvasively, is the retinal oxygen metabolic rate (rMRO(2)). Quantifying rMRO(2) is challenging because two parameters, the blood flow rate and hemoglobin oxygen saturation (sO(2)), must be measured together. We combined photoacoustic ophthalmoscopy (PAOM) with spectral domain-optical coherence tomography (SD-OCT) to tackle this challenge, in which PAOM measured the sO(2) and SD-OCT mapped the blood flow rate. We tested the integrated system on normal wild-type rats, in which the measured rMRO(2) was 297.86 ± 70.23 nl/minute. This quantitative method may shed new light on both fundamental research and clinical care in ophthalmology in the future. Nature Publishing Group 2014-10-06 /pmc/articles/PMC4185377/ /pubmed/25283870 http://dx.doi.org/10.1038/srep06525 Text en Copyright © 2014, Macmillan Publishers Limited. All rights reserved http://creativecommons.org/licenses/by-nc-nd/4.0/ This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License. The images or other third party material in this article are included in the article's Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder in order to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-nd/4.0/ |
spellingShingle | Article Song, Wei Wei, Qing Liu, Wenzhong Liu, Tan Yi, Ji Sheibani, Nader Fawzi, Amani A. Linsenmeier, Robert A. Jiao, Shuliang Zhang, Hao F. A combined method to quantify the retinal metabolic rate of oxygen using photoacoustic ophthalmoscopy and optical coherence tomography |
title | A combined method to quantify the retinal metabolic rate of oxygen using photoacoustic ophthalmoscopy and optical coherence tomography |
title_full | A combined method to quantify the retinal metabolic rate of oxygen using photoacoustic ophthalmoscopy and optical coherence tomography |
title_fullStr | A combined method to quantify the retinal metabolic rate of oxygen using photoacoustic ophthalmoscopy and optical coherence tomography |
title_full_unstemmed | A combined method to quantify the retinal metabolic rate of oxygen using photoacoustic ophthalmoscopy and optical coherence tomography |
title_short | A combined method to quantify the retinal metabolic rate of oxygen using photoacoustic ophthalmoscopy and optical coherence tomography |
title_sort | combined method to quantify the retinal metabolic rate of oxygen using photoacoustic ophthalmoscopy and optical coherence tomography |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4185377/ https://www.ncbi.nlm.nih.gov/pubmed/25283870 http://dx.doi.org/10.1038/srep06525 |
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