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Label-free optical quantification of structural alterations in Alzheimer’s disease

We present a wide-field quantitative label-free imaging of mouse brain tissue slices with sub-micrometre resolution, employing holographic microscopy and an automated scanning platform. From the measured light field images, scattering coefficients and anisotropies are quantitatively retrieved by usi...

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Autores principales: Lee, Moosung, Lee, Eeksung, Jung, JaeHwang, Yu, Hyeonseung, Kim, Kyoohyun, Yoon, Jonghee, Lee, Shinhwa, Jeong, Yong, Park, YongKeun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4971571/
https://www.ncbi.nlm.nih.gov/pubmed/27485313
http://dx.doi.org/10.1038/srep31034
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author Lee, Moosung
Lee, Eeksung
Jung, JaeHwang
Yu, Hyeonseung
Kim, Kyoohyun
Yoon, Jonghee
Lee, Shinhwa
Jeong, Yong
Park, YongKeun
author_facet Lee, Moosung
Lee, Eeksung
Jung, JaeHwang
Yu, Hyeonseung
Kim, Kyoohyun
Yoon, Jonghee
Lee, Shinhwa
Jeong, Yong
Park, YongKeun
author_sort Lee, Moosung
collection PubMed
description We present a wide-field quantitative label-free imaging of mouse brain tissue slices with sub-micrometre resolution, employing holographic microscopy and an automated scanning platform. From the measured light field images, scattering coefficients and anisotropies are quantitatively retrieved by using the modified the scattering-phase theorem, which enables access to structural information about brain tissues. As a proof of principle, we demonstrate that these scattering parameters enable us to quantitatively address structural alteration in the brain tissues of mice with Alzheimer’s disease.
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spelling pubmed-49715712016-08-11 Label-free optical quantification of structural alterations in Alzheimer’s disease Lee, Moosung Lee, Eeksung Jung, JaeHwang Yu, Hyeonseung Kim, Kyoohyun Yoon, Jonghee Lee, Shinhwa Jeong, Yong Park, YongKeun Sci Rep Article We present a wide-field quantitative label-free imaging of mouse brain tissue slices with sub-micrometre resolution, employing holographic microscopy and an automated scanning platform. From the measured light field images, scattering coefficients and anisotropies are quantitatively retrieved by using the modified the scattering-phase theorem, which enables access to structural information about brain tissues. As a proof of principle, we demonstrate that these scattering parameters enable us to quantitatively address structural alteration in the brain tissues of mice with Alzheimer’s disease. Nature Publishing Group 2016-08-03 /pmc/articles/PMC4971571/ /pubmed/27485313 http://dx.doi.org/10.1038/srep31034 Text en Copyright © 2016, The Author(s) http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 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 to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Article
Lee, Moosung
Lee, Eeksung
Jung, JaeHwang
Yu, Hyeonseung
Kim, Kyoohyun
Yoon, Jonghee
Lee, Shinhwa
Jeong, Yong
Park, YongKeun
Label-free optical quantification of structural alterations in Alzheimer’s disease
title Label-free optical quantification of structural alterations in Alzheimer’s disease
title_full Label-free optical quantification of structural alterations in Alzheimer’s disease
title_fullStr Label-free optical quantification of structural alterations in Alzheimer’s disease
title_full_unstemmed Label-free optical quantification of structural alterations in Alzheimer’s disease
title_short Label-free optical quantification of structural alterations in Alzheimer’s disease
title_sort label-free optical quantification of structural alterations in alzheimer’s disease
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4971571/
https://www.ncbi.nlm.nih.gov/pubmed/27485313
http://dx.doi.org/10.1038/srep31034
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