Quantitative optical coherence microscopy of neuron morphology in human entorhinal cortex

IntroductionThe size and shape of neurons are important features indicating aging and the pathology of neurodegenerative diseases. Despite the significant advances of optical microscopy, quantitative analysis of the neuronal features in the human brain remains largely incomplete. Traditional histolo...

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Main Authors: Hui Wang, Dayang Gong, Jean C. Augustinack, Caroline Magnain
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-04-01
Series:Frontiers in Neuroscience
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fnins.2023.1074660/full
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author Hui Wang
Dayang Gong
Jean C. Augustinack
Caroline Magnain
author_facet Hui Wang
Dayang Gong
Jean C. Augustinack
Caroline Magnain
author_sort Hui Wang
collection DOAJ
description IntroductionThe size and shape of neurons are important features indicating aging and the pathology of neurodegenerative diseases. Despite the significant advances of optical microscopy, quantitative analysis of the neuronal features in the human brain remains largely incomplete. Traditional histology on thin slices bears tremendous distortions in three-dimensional reconstruction, the magnitude of which are often greater than the structure of interest. Recently development of tissue clearing techniques enable the whole brain to be analyzed in small animals; however, the application in the human remains challenging.MethodsIn this study, we present a label-free quantitative optical coherence microscopy (OCM) technique to obtain the morphological parameters of neurons in human entorhinal cortex (EC). OCM uses the intrinsic back-scattering property of tissue to identify individual neurons in 3D. The area, length, width, and orientation of individual neurons are quantified and compared between layer II and III in EC.ResultsThe high-resolution mapping of neuron size, shape, and orientation shows significant differences between layer II and III neurons in EC. The results are validated by standard Nissl staining of the same samples.DiscussionThe quantitative OCM technique in our study offers a new solution to analyze variety of neurons and their organizations in the human brain, which opens new insights in advancing our understanding of neurodegenerative diseases.
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spelling doaj.art-57803b16e72144c3a260b455c5ab37002023-04-21T04:24:41ZengFrontiers Media S.A.Frontiers in Neuroscience1662-453X2023-04-011710.3389/fnins.2023.10746601074660Quantitative optical coherence microscopy of neuron morphology in human entorhinal cortexHui WangDayang GongJean C. AugustinackCaroline MagnainIntroductionThe size and shape of neurons are important features indicating aging and the pathology of neurodegenerative diseases. Despite the significant advances of optical microscopy, quantitative analysis of the neuronal features in the human brain remains largely incomplete. Traditional histology on thin slices bears tremendous distortions in three-dimensional reconstruction, the magnitude of which are often greater than the structure of interest. Recently development of tissue clearing techniques enable the whole brain to be analyzed in small animals; however, the application in the human remains challenging.MethodsIn this study, we present a label-free quantitative optical coherence microscopy (OCM) technique to obtain the morphological parameters of neurons in human entorhinal cortex (EC). OCM uses the intrinsic back-scattering property of tissue to identify individual neurons in 3D. The area, length, width, and orientation of individual neurons are quantified and compared between layer II and III in EC.ResultsThe high-resolution mapping of neuron size, shape, and orientation shows significant differences between layer II and III neurons in EC. The results are validated by standard Nissl staining of the same samples.DiscussionThe quantitative OCM technique in our study offers a new solution to analyze variety of neurons and their organizations in the human brain, which opens new insights in advancing our understanding of neurodegenerative diseases.https://www.frontiersin.org/articles/10.3389/fnins.2023.1074660/fullquantitative morphologyoptical coherence tomography (OCT)neuroncell shapecell sizehuman brain
spellingShingle Hui Wang
Dayang Gong
Jean C. Augustinack
Caroline Magnain
Quantitative optical coherence microscopy of neuron morphology in human entorhinal cortex
Frontiers in Neuroscience
quantitative morphology
optical coherence tomography (OCT)
neuron
cell shape
cell size
human brain
title Quantitative optical coherence microscopy of neuron morphology in human entorhinal cortex
title_full Quantitative optical coherence microscopy of neuron morphology in human entorhinal cortex
title_fullStr Quantitative optical coherence microscopy of neuron morphology in human entorhinal cortex
title_full_unstemmed Quantitative optical coherence microscopy of neuron morphology in human entorhinal cortex
title_short Quantitative optical coherence microscopy of neuron morphology in human entorhinal cortex
title_sort quantitative optical coherence microscopy of neuron morphology in human entorhinal cortex
topic quantitative morphology
optical coherence tomography (OCT)
neuron
cell shape
cell size
human brain
url https://www.frontiersin.org/articles/10.3389/fnins.2023.1074660/full
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