Trends in Optical Biosensing and Bioimaging
A special issue of Biosensors (ISSN 2079-6374). This special issue belongs to the section "Optical and Photonic Biosensors".
Deadline for manuscript submissions: closed (30 November 2024) | Viewed by 11783
Special Issue Editor
Interests: biomedical spectroscopy; microscopy; endoscopy; optical diagnosis and therapeutics monitoring; molecular probe
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
In recent decades, fast-growing semiconductor and nanofabrication technologies combined with machine-learning algorithms have significantly advanced the field of optical sensing and imaging.
Bulky and expensive laser systems evolved into compact and inexpensive systems with less power consumption. Sophisticated but robust turn-key CW and pulsed-laser systems are the key components of portable clinical instruments and successful translation. Highly efficient electric detectors/cameras are widely used. Specifically, compact camera modules with decent performance are available at low cost due to the smartphone industry. Advanced nanotechnology brought new tools to the field. High-performance optical filters are used to exclude unwanted photons in many optical systems. Nanoparticles are designed for molecular imaging and nanostructures are used to target specific molecules. Optical fiber technology enabled measuring in vivo signals from tissue locations that are not easily accessible by traditional imaging systems. More recently, machine-learning algorithms were actively introduced to the optics field, allowing the extraction of maximum information from existing or new data. Furthermore, these algorithms help in developing low-cost devices as they ease hardware requirements.
This Special Issue is focused on the recent advances in optical biosensing and bioimaging as well as advanced algorithms. You are invited to submit your original articles or reviews.
Dr. Jeon Woong Kang
Guest Editor
Manuscript Submission Information
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Keywords
- biomedical spectroscopy
- microscopy
- endoscopy
- optical diagnosis and therapeutics monitoring
- molecular probe
- machine learning
- artificial intelligence
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