ArticleJournal of biomedical optics2015
Macroscopic-imaging technique for subsurface quantification of near-infrared markers during surgery.
Article in Journal of biomedical optics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- Red-light excitation of protoporphyrin IX fluorescence for subsurface tumor detection.Journal of neurosurgery · 2018Trial
- Depth estimation from wavelength-dependent fluorescence spread profiles across NIR-I and NIR-II.Journal of biomedical optics · 2026Article
- Time-of-flight fluorescence depth mapping using a spatiotemporal deep learning model.Journal of biomedical optics · 2026Article
- Evaluation of analytical models to estimate depth of fluorescence objects in biological media.Journal of biomedical optics · 2026Article
- Deep learning-enabled fluorescence imaging for surgical guidance:Journal of biomedical optics · 2025Article
- Improved intraoperative identification of close margins in oral squamous cell carcinoma resections using a dual aperture fluorescence ratio approach: first in-human results.Journal of biomedical optics · 2024Article
- Quantitative tumor depth determination using dual wavelength excitation fluorescence.Biomedical optics express · 2022Article
- Visualization technologies for 5-ALA-based fluorescence-guided surgeries.Journal of neuro-oncology · 2019Review
- Fluorescence hyperspectral imaging (fHSI) using a spectrally resolved detector array.Journal of biophotonics · 2017Article
- Intraoperative Fluorescence Imaging for Personalized Brain Tumor Resection: Current State and Future Directions.Frontiers in surgery · 2016Review
- Review of fluorescence guided surgery visualization and overlay techniques.Biomedical optics express · 2015Article
- Depth-Resolved Multispectral Sub-Surface Imaging Using Multifunctional Upconversion Phosphors with Paramagnetic Properties.ACS applied materials & interfaces · 2015Article
Corrections and comments
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Authors and funding
10 authors.
Funding
Abstract
Obtaining accurate quantitative information on the concentration and distribution of fluorescent markers lying at a depth below the surface of optically turbid media, such as tissue, is a significant challenge. Here, we introduce a fluorescence reconstruction technique based on a diffusion light transport model that can be used during surgery, including guiding resection of brain tumors, for depth-resolved quantitative imaging of near-infrared fluorescent markers. Hyperspectral fluorescence images are used to compute a topographic map of the fluorophore distribution, which yields structural and optical constraints for a three-dimensional subsequent hyperspectral diffuse fluorescence reconstruction algorithm. Using the model fluorophore Alexa Fluor 647 and brain-like tissue phantoms, the technique yielded estimates of fluorophore concentration within ±25% of the true value to depths of 5 to 9 mm, depending on the concentration. The approach is practical for integration into a neurosurgical fluorescence microscope and has potential to further extend fluorescence-guided resection using objective and quantified metrics of the presence of residual tumor tissue.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.