Non-Contact Optical Spectroscopy for Metabolic and Vascular Characterizations of Orthotopic Tongue Cancer Models in Vivo

Most tissue optical spectroscopy platforms use a fiber probe for light delivery and collection, while the inconsistent probe-sample contact could induce significant distortions in the measured optical signals, which consequently bring analysis errors. Moreover, it will be practically difficult to use a fiber probe for measurements in some cases such as oral cancer investigations using small animal models. To address the critical challenge, we report a portable, lens-based, optical spectroscopy device capable of quantifying key vascular and metabolic parameters <i>in vivo</i> without probe-sample contact. We combined lenses based diffuse reflectance and fluorescence spectroscopy into one portable platform to enable multi-parametric functional characterizations of orthotopic tongue cancer models <i>in vivo</i>. We also implemented easy-to-use spectroscopic algorithms with the system for rapid quantification of the key metabolic and vascular parameters on biological tissue models. We then demonstrated our non-contact optical spectroscopy on tissue-mimicking phantoms and <i>in vivo</i> mouse tongue tumor models. Our phantom and <i>in vivo</i> animal studies showed that our non-contact optical spectroscopy, along with spectroscopic algorithms, could quantify the major metabolic and vascular parameters on <i>in vivo</i> tongue tumors with high accuracy. We also captured the diverse metabolic and vascular phenotypes of tongue tumors with different radiation sensitivity. Our new optical spectroscopy implemented with easy-to-use spectroscopic algorithms will provide a non-contact way for rapid and systematic characterizations of biological tissue metabolism and vascular microenvironment <i>in vivo</i>, which may significantly advance head and neck cancer research in the future.

Authors

Institutions

Publication Details

Journal
IEEE Journal of Selected Topics in Quantum Electronics
Published
2025-11-20
DOI
https://doi.org/10.1109/jstqe.2025.3635031
Citations
1
Primary Topic
Optical Imaging and Spectroscopy Techniques
Type
article
Field-Weighted Citation Impact
1.36
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Non-Contact Optical Spectroscopy for Metabolic and Vascular Characterizations of Orthotopic Tongue Cancer Models in Vivo

Pranto Soumik Saha, Caigang Zhu, Sumit Sarker, Md. Zahid Hasan et al.
1 citations
IEEE Journal of Selected Topics in Quantum Electronics
Optical Imaging and Spectroscopy Techniques
1.36
article

Non-Contact Optical Spectroscopy for Metabolic and Vascular Characterizations of Orthotopic Tongue Cancer Models in Vivo

Pranto Soumik Saha, Caigang Zhu, Sumit Sarker, Md. Zahid Hasan, Jing Yan
article en
1 citations

Abstract

Most tissue optical spectroscopy platforms use a fiber probe for light delivery and collection, while the inconsistent probe-sample contact could induce significant distortions in the measured optical signals, which consequently bring analysis errors. Moreover, it will be practically difficult to use a fiber probe for measurements in some cases such as oral cancer investigations using small animal models. To address the critical challenge, we report a portable, lens-based, optical spectroscopy device capable of quantifying key vascular and metabolic parameters <i>in vivo</i> without probe-sample contact. We combined lenses based diffuse reflectance and fluorescence spectroscopy into one portable platform to enable multi-parametric functional characterizations of orthotopic tongue cancer models <i>in vivo</i>. We also implemented easy-to-use spectroscopic algorithms with the system for rapid quantification of the key metabolic and vascular parameters on biological tissue models. We then demonstrated our non-contact optical spectroscopy on tissue-mimicking phantoms and <i>in vivo</i> mouse tongue tumor models. Our phantom and <i>in vivo</i> animal studies showed that our non-contact optical spectroscopy, along with spectroscopic algorithms, could quantify the major metabolic and vascular parameters on <i>in vivo</i> tongue tumors with high accuracy. We also captured the diverse metabolic and vascular phenotypes of tongue tumors with different radiation sensitivity. Our new optical spectroscopy implemented with easy-to-use spectroscopic algorithms will provide a non-contact way for rapid and systematic characterizations of biological tissue metabolism and vascular microenvironment <i>in vivo</i>, which may significantly advance head and neck cancer research in the future.

IEEE Journal of Selected Topics in Quantum ElectronicsVol. 32(4: Adv. Biophoton. in Emerg.)
University of Kentucky (US)
Openalex Percentile: Top 14%
Optical Imaging and Spectroscopy Techniques
1.36
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.