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Real-time quantitative visualization of 3D structural information

We demonstrate a novel approach for the real time visualization and quantification of the 3D spatial frequencies in an image domain. Our approach is based on the spectral encoding of spatial frequency principle and permits the formation of an image as a color map in which spatially separated spectra...

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Detalles Bibliográficos
Autores principales: Alexandrov, Sergey A., Uttam, Shikhar, Bista, Rajan K., Zhao, Chengquan, Liu, Yang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Optical Society of America 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3500094/
https://www.ncbi.nlm.nih.gov/pubmed/22513632
http://dx.doi.org/10.1364/OE.20.009203
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author Alexandrov, Sergey A.
Uttam, Shikhar
Bista, Rajan K.
Zhao, Chengquan
Liu, Yang
author_facet Alexandrov, Sergey A.
Uttam, Shikhar
Bista, Rajan K.
Zhao, Chengquan
Liu, Yang
author_sort Alexandrov, Sergey A.
collection PubMed
description We demonstrate a novel approach for the real time visualization and quantification of the 3D spatial frequencies in an image domain. Our approach is based on the spectral encoding of spatial frequency principle and permits the formation of an image as a color map in which spatially separated spectral wavelengths correspond to the dominant 3D spatial frequencies of the object. We demonstrate that our approach can visualize and analyze the dominant axial internal structure for each image point in real time and with nanoscale sensitivity to structural changes. Computer modeling and experimental results of instantaneous color visualization and quantification of 3D structures of a model system and biological samples are presented.
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spelling pubmed-35000942013-04-05 Real-time quantitative visualization of 3D structural information Alexandrov, Sergey A. Uttam, Shikhar Bista, Rajan K. Zhao, Chengquan Liu, Yang Opt Express Research-Article We demonstrate a novel approach for the real time visualization and quantification of the 3D spatial frequencies in an image domain. Our approach is based on the spectral encoding of spatial frequency principle and permits the formation of an image as a color map in which spatially separated spectral wavelengths correspond to the dominant 3D spatial frequencies of the object. We demonstrate that our approach can visualize and analyze the dominant axial internal structure for each image point in real time and with nanoscale sensitivity to structural changes. Computer modeling and experimental results of instantaneous color visualization and quantification of 3D structures of a model system and biological samples are presented. Optical Society of America 2012-04-05 /pmc/articles/PMC3500094/ /pubmed/22513632 http://dx.doi.org/10.1364/OE.20.009203 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 Research-Article
Alexandrov, Sergey A.
Uttam, Shikhar
Bista, Rajan K.
Zhao, Chengquan
Liu, Yang
Real-time quantitative visualization of 3D structural information
title Real-time quantitative visualization of 3D structural information
title_full Real-time quantitative visualization of 3D structural information
title_fullStr Real-time quantitative visualization of 3D structural information
title_full_unstemmed Real-time quantitative visualization of 3D structural information
title_short Real-time quantitative visualization of 3D structural information
title_sort real-time quantitative visualization of 3d structural information
topic Research-Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3500094/
https://www.ncbi.nlm.nih.gov/pubmed/22513632
http://dx.doi.org/10.1364/OE.20.009203
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