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Fibrosis quantification using multiphoton excitation imaging of picrosirius red stained cardiac tissue
Traditional methodologies for fibrosis quantification involve histological measurements, staining with Masson’s trichrome and picrosirius red (PSR), and label-free imaging using second harmonic generation (SHG). The difficulty of label-free cardiac SHG imaging is that both collagen (i.e., collagen 1...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Journal Experts
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10543454/ https://www.ncbi.nlm.nih.gov/pubmed/37790455 http://dx.doi.org/10.21203/rs.3.rs-3329402/v1 |
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author | Jones, Bryce A. Torrado, Belen Myakala, Komuraiah Wang, Xiaoxin X. Perry, Priscilla E. Rosenberg, Avi Z. Levi, Moshe Ranjit, Suman |
author_facet | Jones, Bryce A. Torrado, Belen Myakala, Komuraiah Wang, Xiaoxin X. Perry, Priscilla E. Rosenberg, Avi Z. Levi, Moshe Ranjit, Suman |
author_sort | Jones, Bryce A. |
collection | PubMed |
description | Traditional methodologies for fibrosis quantification involve histological measurements, staining with Masson’s trichrome and picrosirius red (PSR), and label-free imaging using second harmonic generation (SHG). The difficulty of label-free cardiac SHG imaging is that both collagen (i.e., collagen 1 fibrils) and myosin are harmonophores that generate SHG signals, and specific identification of either collagen or myosin is difficult to achieve. Here we present an alternate method of quantifying cardiac fibrosis by using PSR staining followed by multiphoton excitation fluorescence imaging. Our data from the deoxycorticosterone model of cardiac fibrosis shows that this imaging method and downstream analyses, including background correction, are robust and easy to perform. These advantages are due to the high signal-to-noise ratio provided by PSR in areas of collagen fibers. Furthermore, the hyperspectral and fluorescence lifetime information of PSR-stained area of fibrosis shows better quantification can eventually be obtained using more complex instrumentation. |
format | Online Article Text |
id | pubmed-10543454 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | American Journal Experts |
record_format | MEDLINE/PubMed |
spelling | pubmed-105434542023-10-03 Fibrosis quantification using multiphoton excitation imaging of picrosirius red stained cardiac tissue Jones, Bryce A. Torrado, Belen Myakala, Komuraiah Wang, Xiaoxin X. Perry, Priscilla E. Rosenberg, Avi Z. Levi, Moshe Ranjit, Suman Res Sq Article Traditional methodologies for fibrosis quantification involve histological measurements, staining with Masson’s trichrome and picrosirius red (PSR), and label-free imaging using second harmonic generation (SHG). The difficulty of label-free cardiac SHG imaging is that both collagen (i.e., collagen 1 fibrils) and myosin are harmonophores that generate SHG signals, and specific identification of either collagen or myosin is difficult to achieve. Here we present an alternate method of quantifying cardiac fibrosis by using PSR staining followed by multiphoton excitation fluorescence imaging. Our data from the deoxycorticosterone model of cardiac fibrosis shows that this imaging method and downstream analyses, including background correction, are robust and easy to perform. These advantages are due to the high signal-to-noise ratio provided by PSR in areas of collagen fibers. Furthermore, the hyperspectral and fluorescence lifetime information of PSR-stained area of fibrosis shows better quantification can eventually be obtained using more complex instrumentation. American Journal Experts 2023-09-13 /pmc/articles/PMC10543454/ /pubmed/37790455 http://dx.doi.org/10.21203/rs.3.rs-3329402/v1 Text en https://creativecommons.org/licenses/by/4.0/This work is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/) , which allows reusers to distribute, remix, adapt, and build upon the material in any medium or format, so long as attribution is given to the creator. The license allows for commercial use. |
spellingShingle | Article Jones, Bryce A. Torrado, Belen Myakala, Komuraiah Wang, Xiaoxin X. Perry, Priscilla E. Rosenberg, Avi Z. Levi, Moshe Ranjit, Suman Fibrosis quantification using multiphoton excitation imaging of picrosirius red stained cardiac tissue |
title | Fibrosis quantification using multiphoton excitation imaging of picrosirius red stained cardiac tissue |
title_full | Fibrosis quantification using multiphoton excitation imaging of picrosirius red stained cardiac tissue |
title_fullStr | Fibrosis quantification using multiphoton excitation imaging of picrosirius red stained cardiac tissue |
title_full_unstemmed | Fibrosis quantification using multiphoton excitation imaging of picrosirius red stained cardiac tissue |
title_short | Fibrosis quantification using multiphoton excitation imaging of picrosirius red stained cardiac tissue |
title_sort | fibrosis quantification using multiphoton excitation imaging of picrosirius red stained cardiac tissue |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10543454/ https://www.ncbi.nlm.nih.gov/pubmed/37790455 http://dx.doi.org/10.21203/rs.3.rs-3329402/v1 |
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