Modeling spectroradiometric measurements of oral mucosal tissue autofluorescence

Spectroradiometric fluorescence measurements were collected from the dorsal tongue and inner lip of healthy volunteers. These sites were chosen to represent the distinct spectral features that differentiate keratinized from non-keratinized oral tissues, as documented in previous studies. A computational model was then applied to estimate the relative contributions of key fluorophores and to quantify the influence of blood absorption on the observed fluorescence spectra. The resulting dataset and model, both freely available, serve as reference standards for healthy oral tissue and support the development of quantitative, non-invasive imaging systems for consistent and reproducible assessment of oral mucosal health.

Authors

Institutions

Publication Details

Journal
Biomedical Optics Express
Published
2025-12-04
DOI
https://doi.org/10.1364/boe.575722
Primary Topic
Optical Imaging and Spectroscopy Techniques
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Modeling spectroradiometric measurements of oral mucosal tissue autofluorescence

Joyce Farrell, Xi Mou, Brian A. Wandell
Biomedical Optics Express
Optical Imaging and Spectroscopy Techniques
article

Modeling spectroradiometric measurements of oral mucosal tissue autofluorescence

Joyce Farrell, Xi Mou, Brian A. Wandell
article en

Abstract

Spectroradiometric fluorescence measurements were collected from the dorsal tongue and inner lip of healthy volunteers. These sites were chosen to represent the distinct spectral features that differentiate keratinized from non-keratinized oral tissues, as documented in previous studies. A computational model was then applied to estimate the relative contributions of key fluorophores and to quantify the influence of blood absorption on the observed fluorescence spectra. The resulting dataset and model, both freely available, serve as reference standards for healthy oral tissue and support the development of quantitative, non-invasive imaging systems for consistent and reproducible assessment of oral mucosal health.

Biomedical Optics ExpressVol. 17(1)
Stanford Medicine (US), Stanford University (US)
Openalex Percentile: Top 47%
Optical Imaging and Spectroscopy Techniques
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Modeling spectroradiometric measurements of oral mucosal tissue autofluorescence — Joyce Farrell, Xi Mou, et al. · Biomedical Optics Express (2025) | TGRS Research Map | TGRS