Biomedical Applications of Optical Sensing Technology
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Biosensors".
Deadline for manuscript submissions: 20 August 2025 | Viewed by 449
Special Issue Editors
Interests: nanomaterials; optical properties of solids
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Optical sensors are rapidly transforming the field of biomedical applications, including minimally invasive surgery, disease monitoring, and cell characterization, by providing critical information about tissue biomechanics, physiological fluids, and molecular changes using direct spectroscopy or reagents that interact with biological media.
Optical sensing is promising for addressing challenges such as tissue deformations and the undesired deflection of incision tools, which can compromise the precision and safety of invasive procedures. Fluorescence-based detection and optical/acoustic imaging techniques are emerging as powerful solutions for the real-time tracking of surgical tools and enhancing visibility in complex tissue environments.
This technology also has a potential use in the monitoring of critical diseases, from cancer to autoimmune disorders, by detecting molecular affinities and mutations in various biofluids. This Special Issue aims to address the research gaps in existing optical technology such as its complex and expensive manufacturing; the amount of large data processing required, which increases computational costs; poor imaging resolutions; and hard-to-reach access areas.
We invite researchers to submit articles to this Special Issue on topics including, but not limited to, the following:
- Pure and hybrid optical techniques for tissue characterization;
- Fluorescence-based imaging for novel biomedical applications;
- The design of novel biosensors for the monitoring and early detection of diseases;
- Wearable biosensors and implantable systems;
- Plasmonic and photonic nanostructures;
- Biosensor materials;
- The detection of disease biomarkers;
- Data-driven optical biosensing with machine learning;
- The predictive modeling of sensor data;
- Non-invasive optical sensors for cell characterization;
- Addressing gaps in optical technology such as:
- Sensitivity;
- Specificity;
- Real-time and cost-effective computational capabilities.
Dr. Mithun Bhowmick
Dr. Meenakshi Narayan
Guest Editors
Manuscript Submission Information
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Keywords
- optical sensing
- minimally invasive surgery
- hybrid imaging
- tissue biomechanics
- real time bioimaging
- wearable biosensors
- machine learning in biomedical applications
- sensor data modeling
- image processing
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