An Application of Multivariate Data Analysis to Photoacoustic Imaging for the Spectral Unmixing of Gold Nanorods in Biological Tissues
Gold nanorods (GNRs) showed to be a suitable contrast agent in photoacoustics (PA), and are able to provide a tunable absorption contrast against background tissue, while a detectable PA signal can be generated from highly localized and targeted areas. A crucial issue for these imaging techniques is...
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doaj-98c76ebd20024cb791115f241f89e5842021-01-09T00:05:43ZengMDPI AGNanomaterials2079-49912021-01-011114214210.3390/nano11010142An Application of Multivariate Data Analysis to Photoacoustic Imaging for the Spectral Unmixing of Gold Nanorods in Biological TissuesMirko Maturi0Paolo Armanetti1Luca Menichetti2Mauro Comes Franchini3Department of Industrial Chemistry Toso Montanari, University of Bologna, Viale Risorgimento 4, 40136 Bologna, ItalyNational Research Council (CNR), Institute of Clinical Physiology, Via Moruzzi 1, 56124 Pisa, ItalyNational Research Council (CNR), Institute of Clinical Physiology, Via Moruzzi 1, 56124 Pisa, ItalyDepartment of Industrial Chemistry Toso Montanari, University of Bologna, Viale Risorgimento 4, 40136 Bologna, ItalyGold nanorods (GNRs) showed to be a suitable contrast agent in photoacoustics (PA), and are able to provide a tunable absorption contrast against background tissue, while a detectable PA signal can be generated from highly localized and targeted areas. A crucial issue for these imaging techniques is represented by the discrimination between exogenous and endogenous contrast and the assessment of the real PA signal magnitude. The application of image resolution/unmixing methods was implemented and optimized to recover the relative magnitude spectra and distribution maps of image constituents of the biological sample based on multivariate analysis (multivariate curve resolution—alternating least squares, MCR-ALS) in the presence of GNRs with tunable absorption properties. The proposed data analysis methodology is demonstrated on real PA images from experimental animal models and ex-vivo preparations.https://www.mdpi.com/2079-4991/11/1/142gold nanorodsphotoacoustic imagingcontrast agentsspectral unmixingmultivariate analysis |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Mirko Maturi Paolo Armanetti Luca Menichetti Mauro Comes Franchini |
spellingShingle |
Mirko Maturi Paolo Armanetti Luca Menichetti Mauro Comes Franchini An Application of Multivariate Data Analysis to Photoacoustic Imaging for the Spectral Unmixing of Gold Nanorods in Biological Tissues Nanomaterials gold nanorods photoacoustic imaging contrast agents spectral unmixing multivariate analysis |
author_facet |
Mirko Maturi Paolo Armanetti Luca Menichetti Mauro Comes Franchini |
author_sort |
Mirko Maturi |
title |
An Application of Multivariate Data Analysis to Photoacoustic Imaging for the Spectral Unmixing of Gold Nanorods in Biological Tissues |
title_short |
An Application of Multivariate Data Analysis to Photoacoustic Imaging for the Spectral Unmixing of Gold Nanorods in Biological Tissues |
title_full |
An Application of Multivariate Data Analysis to Photoacoustic Imaging for the Spectral Unmixing of Gold Nanorods in Biological Tissues |
title_fullStr |
An Application of Multivariate Data Analysis to Photoacoustic Imaging for the Spectral Unmixing of Gold Nanorods in Biological Tissues |
title_full_unstemmed |
An Application of Multivariate Data Analysis to Photoacoustic Imaging for the Spectral Unmixing of Gold Nanorods in Biological Tissues |
title_sort |
application of multivariate data analysis to photoacoustic imaging for the spectral unmixing of gold nanorods in biological tissues |
publisher |
MDPI AG |
series |
Nanomaterials |
issn |
2079-4991 |
publishDate |
2021-01-01 |
description |
Gold nanorods (GNRs) showed to be a suitable contrast agent in photoacoustics (PA), and are able to provide a tunable absorption contrast against background tissue, while a detectable PA signal can be generated from highly localized and targeted areas. A crucial issue for these imaging techniques is represented by the discrimination between exogenous and endogenous contrast and the assessment of the real PA signal magnitude. The application of image resolution/unmixing methods was implemented and optimized to recover the relative magnitude spectra and distribution maps of image constituents of the biological sample based on multivariate analysis (multivariate curve resolution—alternating least squares, MCR-ALS) in the presence of GNRs with tunable absorption properties. The proposed data analysis methodology is demonstrated on real PA images from experimental animal models and ex-vivo preparations. |
topic |
gold nanorods photoacoustic imaging contrast agents spectral unmixing multivariate analysis |
url |
https://www.mdpi.com/2079-4991/11/1/142 |
work_keys_str_mv |
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