ArticleBiomedical optics express2020
Subdiffuse scattering and absorption model for single fiber reflectance spectroscopy.
Article in Biomedical optics express, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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Who cites it
6 citing papers in PubMed.
- Single-fiber reflectance spectroscopy system using unmodified clinical laser fibers for tissue optical property recovery for photodynamic therapy treatment planning.Journal of biomedical optics · 2026Article
- Quantitative model for imaging single fiber reflectance spectroscopy.Scientific reports · 2026Article
- Study of Minor Chromophores in Biological Tissues by Diffuse Optical Spectroscopy (Review).Sovremennye tekhnologii v meditsine · 2025Review
- Model for the diffuse reflectance in spatial frequency domain imaging.Journal of biomedical optics · 2023Article
- Double-Clad Fiber-Based Multifunctional Biosensors and Multimodal Bioimaging Systems: Technology and Applications.Biosensors · 2022Review
- Experimental validation of a recently developed model for single-fiber reflectance spectroscopy.Journal of biomedical optics · 2021Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Single fiber reflectance (SFR) spectroscopy is a technique that is sensitive to small-scale changes in tissue. An additional benefit is that SFR measurements can be performed through endoscopes or biopsy needles. In SFR spectroscopy, a single fiber emits and collects light. Tissue optical properties can be extracted from SFR spectra and related to the disease state of tissue. However, the model currently used to extract optical properties was derived for tissues with modified Henyey-Greenstein phase functions only and is inadequate for other tissue phase functions. Here, we will present a model for SFR spectroscopy that provides accurate results for a large range of tissue phase functions, reduced scattering coefficients, and absorption coefficients. Our model predicts the reflectance with a median error of 5.6% compared to 19.3% for the currently used model. For two simulated tissue spectra, our model fit provides accurate results.
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Registered trials
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