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Updated: Jul 13, 2026

Diffuse Reflectance Spectroscopy: Getting the Capillary Refill Test Under One's Thumb
Published on: December 2, 2017
In vivo 783-channel diffuse reflectance imaging system and its application.
Joon-Mo Yang1, Yong-Hui Han, Gilwon Yoon
1Biomedical Physics Laboratory, Department of Physics and Astronomy, Seoul National University, Seoul 151-747, South Korea. joonmo1@snu.ac.kr
A novel fiber-based system creates in vivo absorption spectroscopic images of tissues using diffuse light. This system, employing spectral normalization, successfully imaged a human vein, demonstrating its biomedical application potential.
Area of Science:
- Biomedical Optics
- Spectroscopy
- Medical Imaging
Background:
- Diffuse reflectance imaging offers a non-invasive method for tissue analysis.
- Accurate absorption spectroscopic imaging requires robust signal processing techniques.
- Existing methods may face challenges with optical inhomogeneities in biological tissues.
Purpose of the Study:
- To develop and validate a fiber-based reflectance imaging system for in vivo absorption spectroscopy.
- To introduce and evaluate a novel spectral normalization method for image reconstruction.
- To demonstrate the system's feasibility for biomedical applications.
Main Methods:
- Construction of a fiber-based probe with 253 illumination and 530 detection fibers.
- Utilizing an electron multiplying CCD camera for rapid data acquisition.
- Reconstruction of diffuse reflectance images using a devised spectral normalization method.
Main Results:
- Phantom experiments with chicken breast and Delrin resin demonstrated the effectiveness of spectral normalization.
- Comparison with reference signal normalization showed advantages of the devised method.
- Successful in vivo imaging of a human vein was achieved, validating the system's applicability.
Conclusions:
- The developed fiber-based system enables in vivo absorption spectroscopic imaging.
- The spectral normalization method enhances image quality and accuracy.
- The system shows significant potential for various biomedical diagnostic applications.
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