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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Optical Society of America
2012
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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. |
format | Online Article Text |
id | pubmed-3500094 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Optical Society of America |
record_format | MEDLINE/PubMed |
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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