Overviews innovative technologies and current applications of photonic sensors for biomedical applications. Covers areas such as biosensors, surface plasmon resonance (SPR) sensors, one- and two-dimensional photonic crystals for sensing and detection applications, muscle strength monitoring using optical sensors, and many more.
Photonic sensors are the most promising and rapidly advancing areas of photonics today, with applications in healthcare, environmental monitoring, and industrial applications. This new book provides an overview of a wide range of new and innovative technologies and current applications of photonic sensors for biomedical applications. Beginning with an overview of basic elements that make up the photonic sensors, the authors lay out the principles of light-matter interaction to the complexities surrounding optical waveguides and then delve into the richest part of the field of sensors: biosensors that are made for detecting and measuring certain biochemical substances. The book covers biosensors, surface plasmon resonance sensors, one- and two-dimensional photonic crystals for sensing and detection applications, muscle strength monitoring using optical sensors, AI in photonics, versatile fiber Bragg gratings sensors, highly sensitive surface plasmon resonance sensors, etc. The exciting realm of MEMS optical sensors that illustrate the union of miniaturization and photonics in sensing technology is also covered, along with case studies. The authors also take us through using artificial intelligence with photonics sensors that help improve data analysis, pattern recognition, and decision-making.
1. Photonics: An Overview
2. Fundamental Concept of Biosensors
3.
Biomedical Photonic Sensors: Enhancing Healthcare, Medical Diagnosis,
Monitoring, and Treatments
4. 2D Photonic Crystal Biosensors for Blood
Infection Detection and Its Case Studies
5. Photonic Crystal-Based Biosensor
for Glucose Surveillance in Urine and Blood
6. Silicon-Based Photonic Crystal
Cavities and Waveguides for Sensing Applications
7. Surface Plasmon Resonance
(SPR)-Based Biosensor for Sugar Monitoring via Urine Samples
8. Design of
Optical Bio-Microarray for Cancer DNA Analysis
9. Plantar Pressure Detection
Using Optical Sensor for the Human Body
10. FBG-Based Device for the
Quantification of Muscle Strength
11. A Comprehensive Study of Modeling
Biosensors Utilizing Optical Fibers for Public and Environmental Health
12.
Use of AI in Photonics
13. AI-Enhanced Photonic Crystal Biosensors for
Glucose Monitoring
14. Future of Photonics Biosensor
Preeta Sharan, PhD, is a Professor and Dean of Research at The Oxford College of Engineering, Bangalore, India. She is an executive committee member of the Photonic Society with the IEEE Bangalore Section. She has delivered projects for prestigious funding agencies across the world, including the Naval Research Board, Defence Research and Development Organisation (India), IEEE (USA), and the Government of Karnataka. She has published over 100 research papers and is a reviewer for many reputed journals, including IEEEs Transactions and Nature journals. Dr. Sharan has received many awards for her work.
Ranjith B. Gowda, PhD, is a Senior Lecturer in the Department of Electronics & Communication Engineering, Government Polytechnic, Shimoga, India. He has teaching and research experience of more than 10 years and has published many research papers in reputed journals and conference proceedings. His area of research includes optical sensors, distributed Bragg reflector, MEMS/NEMS, microfluidic devices, and micro-structures for biomedical applications.
Aryan Chaudhary, is the Chief Scientific Advisor at BioTech Sphere Research, India. Formerly the Research Head at Nijji HealthCare Pvt Ltd, he has expertise in leveraging revolutionary technologies, including artificial intelligence, deep learning, IoT, cognitive technology, and blockchain in the healthcare industry. He has published academic papers on public health and digital health and has been recognized for his contributions. He was appointed as Chair for an ACM professional chapter and nominated as a member of the ACM U.S. Technology Policy Committee in the AI & Algorithms division in addition to being a member of several other organizations in his field.
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