Call for Papers
Special Issue on Optical and Spectroscopic Diagnostic Technologies and System Design
Optical methods are a safe, reliable, and non-contact detection approach. Testing fluorescence, analyzing spectra, and reading colors are typical applications of optical methods in current medical diagnostics. Emerging imaging technologies are also an integral part of clinical diagnosis. Spectroscopy, which studies the properties of matter through the interaction between light and matter, involves measuring the absorption, emission, or scattering of light by the substance. These interactions include various forms such as absorption, emission, and scattering. In recent years, technologies such as near-infrared spectroscopy, Raman spectroscopy, fluorescence spectroscopy, laser-induced breakdown spectroscopy, photoacoustic spectroscopy, hyperspectral imaging, and polarized light imaging have shown promising performance in many fields, with excellent results in biomedical recognition and characterization. Combining optical methods and spectroscopic techniques with hematology, immunology, biochemistry, and labeling technologies, and performing diagnostics using current artificial intelligence and big data models, is the future trend of clinical testing. This special topic focuses on advanced optical and spectroscopic detection technologies, intelligent analysis methods for spectra and images, and the optical design of related instrument systems.
Original research papers and review articles are both welcome. Manuscripts will be internationally peer-reviewed. Topics we specifically seek to cover include but are not limited to the following:
Accepted topics:
- Principles of light-matter interaction (absorption, emission, scattering)
- Spectroscopic techniques (UV-Vis, IR, Raman, Fluorescence, Laser-induced breakdown spectroscopy…)
- Spectroscopy in tissue differentiation and cancer staging
- Optical coherence tomography (OCT)
- Near-infrared (NIR) and hyperspectral imaging
- Biomolecular detection and tissue characterization
- Optical or spectral system design for medical diagnostics
- Wearable or implantable optical diagnostic systems
- System integration for multi-modal imaging
- Super-resolution imaging, 3D and 4D optical imaging in diagnostics
- Optical biopsy technologies
- Machine learning for spectroscopic data interpretation
- Big data approaches and AI-driven image analysis
- Case studies using spectroscopy in cancer diagnostics
Planned publication date: Q1 2026
Submission format
Authors should use the Latex or MS-Word style files. For more details, please visit https://www.worldscientific.com/worldscinet/jiohs
JIOHS is indexed by SCIE (IF 2.396, JCR 2021). JIOHS has been a fully open-access journal since 2013.
Guest Editor:
Geer Teng
Postdoctoral Researcher
University of Oxford
geer.teng@eng.ox.ac.uk