Cargando…

Single shot multispectral multidimensional imaging using chaotic waves

Multispectral imaging technology is a valuable scientific tool for various applications in astronomy, remote sensing, molecular fingerprinting, and fluorescence imaging. In this study, we demonstrate a single camera shot, lensless, interferenceless, motionless, non-scanning, space, spectrum, and tim...

Descripción completa

Detalles Bibliográficos
Autores principales: Anand, Vijayakumar, Ng, Soon Hock, Maksimovic, Jovan, Linklater, Denver, Katkus, Tomas, Ivanova, Elena P., Juodkazis, Saulius
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7431426/
https://www.ncbi.nlm.nih.gov/pubmed/32807816
http://dx.doi.org/10.1038/s41598-020-70849-7
_version_ 1783571577388924928
author Anand, Vijayakumar
Ng, Soon Hock
Maksimovic, Jovan
Linklater, Denver
Katkus, Tomas
Ivanova, Elena P.
Juodkazis, Saulius
author_facet Anand, Vijayakumar
Ng, Soon Hock
Maksimovic, Jovan
Linklater, Denver
Katkus, Tomas
Ivanova, Elena P.
Juodkazis, Saulius
author_sort Anand, Vijayakumar
collection PubMed
description Multispectral imaging technology is a valuable scientific tool for various applications in astronomy, remote sensing, molecular fingerprinting, and fluorescence imaging. In this study, we demonstrate a single camera shot, lensless, interferenceless, motionless, non-scanning, space, spectrum, and time resolved five-dimensional incoherent imaging technique using tailored chaotic waves with quasi-random intensity and phase distributions. Chaotic waves can distinctly encode spatial and spectral information of an object in single self-interference intensity distribution. In this study, a tailored chaotic wave with a nearly pure phase function and lowest correlation noise is generated using a quasi-random array of pinholes. A unique sequence of signal processing techniques is applied to extract all possible spatial and spectral channels with the least entropy. The depth-wavelength reciprocity is exploited to see colour from depth and depth from colour and the physics of beam propagation is exploited to see at one depth by calibrating at another.
format Online
Article
Text
id pubmed-7431426
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher Nature Publishing Group UK
record_format MEDLINE/PubMed
spelling pubmed-74314262020-08-18 Single shot multispectral multidimensional imaging using chaotic waves Anand, Vijayakumar Ng, Soon Hock Maksimovic, Jovan Linklater, Denver Katkus, Tomas Ivanova, Elena P. Juodkazis, Saulius Sci Rep Article Multispectral imaging technology is a valuable scientific tool for various applications in astronomy, remote sensing, molecular fingerprinting, and fluorescence imaging. In this study, we demonstrate a single camera shot, lensless, interferenceless, motionless, non-scanning, space, spectrum, and time resolved five-dimensional incoherent imaging technique using tailored chaotic waves with quasi-random intensity and phase distributions. Chaotic waves can distinctly encode spatial and spectral information of an object in single self-interference intensity distribution. In this study, a tailored chaotic wave with a nearly pure phase function and lowest correlation noise is generated using a quasi-random array of pinholes. A unique sequence of signal processing techniques is applied to extract all possible spatial and spectral channels with the least entropy. The depth-wavelength reciprocity is exploited to see colour from depth and depth from colour and the physics of beam propagation is exploited to see at one depth by calibrating at another. Nature Publishing Group UK 2020-08-17 /pmc/articles/PMC7431426/ /pubmed/32807816 http://dx.doi.org/10.1038/s41598-020-70849-7 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Anand, Vijayakumar
Ng, Soon Hock
Maksimovic, Jovan
Linklater, Denver
Katkus, Tomas
Ivanova, Elena P.
Juodkazis, Saulius
Single shot multispectral multidimensional imaging using chaotic waves
title Single shot multispectral multidimensional imaging using chaotic waves
title_full Single shot multispectral multidimensional imaging using chaotic waves
title_fullStr Single shot multispectral multidimensional imaging using chaotic waves
title_full_unstemmed Single shot multispectral multidimensional imaging using chaotic waves
title_short Single shot multispectral multidimensional imaging using chaotic waves
title_sort single shot multispectral multidimensional imaging using chaotic waves
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7431426/
https://www.ncbi.nlm.nih.gov/pubmed/32807816
http://dx.doi.org/10.1038/s41598-020-70849-7
work_keys_str_mv AT anandvijayakumar singleshotmultispectralmultidimensionalimagingusingchaoticwaves
AT ngsoonhock singleshotmultispectralmultidimensionalimagingusingchaoticwaves
AT maksimovicjovan singleshotmultispectralmultidimensionalimagingusingchaoticwaves
AT linklaterdenver singleshotmultispectralmultidimensionalimagingusingchaoticwaves
AT katkustomas singleshotmultispectralmultidimensionalimagingusingchaoticwaves
AT ivanovaelenap singleshotmultispectralmultidimensionalimagingusingchaoticwaves
AT juodkazissaulius singleshotmultispectralmultidimensionalimagingusingchaoticwaves