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Predicting the Refractive Index of Tissue Models Using Light Scattering Spectroscopy

In this work, we report the application of Raman microspectroscopy for analysis of the refractive index of a range of tissue phantoms. Using both a custom-developed setup with visible laser source and a commercial microspectrometer with near infrared laser, we measured the Raman spectra of gelatin h...

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Detalles Bibliográficos
Autores principales: Bailey, Michelle, Gardner, Benjamin, Alunni-Cardinali, Martina, Caponi, Silvia, Fioretto, Daniele, Stone, Nick, Palombo, Francesca
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8114435/
https://www.ncbi.nlm.nih.gov/pubmed/33319606
http://dx.doi.org/10.1177/0003702820984482
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author Bailey, Michelle
Gardner, Benjamin
Alunni-Cardinali, Martina
Caponi, Silvia
Fioretto, Daniele
Stone, Nick
Palombo, Francesca
author_facet Bailey, Michelle
Gardner, Benjamin
Alunni-Cardinali, Martina
Caponi, Silvia
Fioretto, Daniele
Stone, Nick
Palombo, Francesca
author_sort Bailey, Michelle
collection PubMed
description In this work, we report the application of Raman microspectroscopy for analysis of the refractive index of a range of tissue phantoms. Using both a custom-developed setup with visible laser source and a commercial microspectrometer with near infrared laser, we measured the Raman spectra of gelatin hydrogels at various concentrations. By building a calibration curve from measured refractometry data and Raman scattering intensity for different vibrational modes of the hydrogel, we were able to predict the refractive indices of the gels from their Raman spectra. This work highlights the importance of a correlative approach through Brillouin–Raman microspectroscopy for the mechano–chemical analysis of biologically relevant samples.
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spelling pubmed-81144352021-05-24 Predicting the Refractive Index of Tissue Models Using Light Scattering Spectroscopy Bailey, Michelle Gardner, Benjamin Alunni-Cardinali, Martina Caponi, Silvia Fioretto, Daniele Stone, Nick Palombo, Francesca Appl Spectrosc Articles In this work, we report the application of Raman microspectroscopy for analysis of the refractive index of a range of tissue phantoms. Using both a custom-developed setup with visible laser source and a commercial microspectrometer with near infrared laser, we measured the Raman spectra of gelatin hydrogels at various concentrations. By building a calibration curve from measured refractometry data and Raman scattering intensity for different vibrational modes of the hydrogel, we were able to predict the refractive indices of the gels from their Raman spectra. This work highlights the importance of a correlative approach through Brillouin–Raman microspectroscopy for the mechano–chemical analysis of biologically relevant samples. SAGE Publications 2021-01-19 2021-05 /pmc/articles/PMC8114435/ /pubmed/33319606 http://dx.doi.org/10.1177/0003702820984482 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution 4.0 License (https://creativecommons.org/licenses/by/4.0/) which permits any use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Articles
Bailey, Michelle
Gardner, Benjamin
Alunni-Cardinali, Martina
Caponi, Silvia
Fioretto, Daniele
Stone, Nick
Palombo, Francesca
Predicting the Refractive Index of Tissue Models Using Light Scattering Spectroscopy
title Predicting the Refractive Index of Tissue Models Using Light Scattering Spectroscopy
title_full Predicting the Refractive Index of Tissue Models Using Light Scattering Spectroscopy
title_fullStr Predicting the Refractive Index of Tissue Models Using Light Scattering Spectroscopy
title_full_unstemmed Predicting the Refractive Index of Tissue Models Using Light Scattering Spectroscopy
title_short Predicting the Refractive Index of Tissue Models Using Light Scattering Spectroscopy
title_sort predicting the refractive index of tissue models using light scattering spectroscopy
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8114435/
https://www.ncbi.nlm.nih.gov/pubmed/33319606
http://dx.doi.org/10.1177/0003702820984482
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