Optical Sensors for Biomedical Imaging and Diagnostics
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Sensing and Imaging".
Deadline for manuscript submissions: 20 April 2026 | Viewed by 218
Special Issue Editors
Interests: optical sensors; random laser; optical pulse propagation; light propagation through biological tissues and diffusive media; intraocular lens
Special Issues, Collections and Topics in MDPI journals
Interests: optical-IR spectroscopy in astrophysics; biomedical image analysis; radiological image analysis; radiomics; regression analysis in medicine; virtual imaging trials and virtual patients; artificial intelligence for medical images protocol optimization
Special Issue Information
Dear Colleagues,
Optical methods have revolutionized biomedical imaging and sensing by enabling diagnostic systems that are far less invasive than traditional approaches. Various optical sensor types have been developed, each relying on different physical mechanisms, such as chromophore fluorescence, scattering measurements, fiber-optic probes, spectroscopy, Raman scattering for molecular specificity, random laser emission in turbid media, emission from perovskite, and plasmonic resonance-enhanced signal amplification. This Special Issue aims to provide a comprehensive view of how optical sensors and imaging techniques can be optimized, validated, and translated into clinical practice. In particular, the aim is to cover the full spectrum of research in optical diagnostics, from sensor design and implementation to methods for interpreting data and images. Moreover, contributions addressing analytical modeling of light–tissue interactions, Monte Carlo-based numerical simulations of photon transport, and advanced artificial intelligence techniques for image analysis and decision support are especially welcome.
Dr. Federico Tommasi
Dr. Alessio Gnerucci
Guest Editors
Manuscript Submission Information
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Keywords
- Raman
- scattering
- imaging
- random laser
- plasmonic
- artificial intelligence
- Monte Carlo
- absorption
- fluorescence
- optical fiber
- perovskite
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