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Potential of Raman-reflectance combination to quantify liver steatosis and fat droplet size: evidence from Monte Carlo simulations and phantom studies
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  • Hao Guo,
  • Vanessa S. Zions,
  • Brent A. Law,
  • Kevin Hewitt
Hao Guo
Dalhousie University Department of Physics and Atmospheric Science
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Vanessa S. Zions
Fisheries and Oceans Canada Maritimes Region
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Brent A. Law
Fisheries and Oceans Canada Maritimes Region
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Kevin Hewitt
Dalhousie University Department of Physics and Atmospheric Science

Corresponding Author:[email protected]

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Abstract

This study explores a combined strategy of Raman and reflectance spectroscopy for quantifying liver fat content and fat droplet size, crucial in assessing donor livers. By using Monte Carlo simulations and experimental setups with oil-in-water phantoms, our findings indicate that Raman scattering can solely differentiate between varying fat contents, while reflectance intensity is influenced by both fat content and oil droplet size, with a more pronounced sensitivity to fat droplet size. This study demonstrates the efficacy of combined Raman and reflectance spectroscopy in assessing liver steatosis and fat droplet size, potentially aiding in assessing donor livers for transplantation.
Submitted to Journal of Biophotonics
16 Apr 2024Assigned to Editor
16 Apr 2024Submission Checks Completed
16 Apr 2024Review(s) Completed, Editorial Evaluation Pending
16 Apr 2024Reviewer(s) Assigned
29 May 2024Editorial Decision: Revise Major
24 Jun 20241st Revision Received
24 Jun 2024Submission Checks Completed
24 Jun 2024Assigned to Editor
24 Jun 2024Review(s) Completed, Editorial Evaluation Pending
15 Jul 2024Editorial Decision: Revise Major
07 Aug 20242nd Revision Received
08 Aug 2024Submission Checks Completed
08 Aug 2024Assigned to Editor
08 Aug 2024Reviewer(s) Assigned
08 Aug 2024Review(s) Completed, Editorial Evaluation Pending
08 Aug 2024Editorial Decision: Accept