Our study introduced a custom-built portable Raman system to non-invasively evaluate hepatic steatosis, specifically macrovesicular steatosis, in human liver samples. Using a dual-validation approach with both biochemical and histopathological methods, our preliminary results showed promising correlations between Raman-derived measurements and traditional metrics. Additionally, by integrating supplementary reflectance data, we devised a predictive model that effectively pinpointed discrepancies in liver fat content assessments. This method promises to enhance the accuracy of donor liver evaluations, potentially improving transplant outcomes.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.