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Updated: Jan 24, 2026

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Real-Time Monitoring of Neurocritical Patients with Diffuse Optical Spectroscopies
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In-vivo optical properties spectra across five body locations on ten subjects using time-domain diffuse optics
Vamshi Damagatla1, Siënna Karremans2, Alessandro Bossi1,3
1Politecnico di Milano, Dipartimento di Fisica, Milan, 20133, Italy.
Scientific Data
|January 22, 2026
Summary
This study introduces a new dataset of optical spectroscopy and ultrasound data from various body sites. This resource aids in developing light-based diagnostics and understanding biological variability.
Area of Science:
- Biomedical Optics
- Medical Imaging
- Data Science
Background:
- Diffuse optical spectroscopy (DOS) is a non-invasive imaging technique.
- Understanding tissue optical properties is crucial for developing DOS applications.
- Inter-subject and inter-site variability in optical properties is a known challenge.
Purpose of the Study:
- To present a comprehensive, openly available dataset of absorption and reduced scattering spectra.
- To include corresponding ultrasound images and demographic information to aid in analyzing variability.
- To facilitate the development of light-based diagnostic and therapeutic techniques.
Main Methods:
- Collected time-domain diffuse optical spectroscopy (TD-DOS) data in the 610-1110 nm range.
- Acquired ultrasound images concurrently with optical measurements.
- Gathered data from 10 subjects across 5 distinct body locations (upper arm, radius-ulna, abdomen, forehead, calcaneus).
Main Results:
- A comprehensive dataset including raw optical spectra, reduced scattering spectra, ultrasound images, and demographic data was compiled.
- The dataset provides insights into inter-subject variability in optical properties.
- The data spans a wide spectral range relevant for various tissue types.
Conclusions:
- The openly available dataset supports research in biomedical optics and photon migration modeling.
- This resource can accelerate the development of novel light-based diagnostic and therapeutic tools.
- The inclusion of multimodal data (optical and ultrasound) enhances its utility for studying biological variability.
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