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Advanced Optical Techniques in Biosciences is an interdisciplinary resource that deals with the in-depth analysis of several industrially and economically important physicochemical properties that have a wide range of applications for the pharmaceutical sector, food sciences, the textile industry, drug delivery and tissue engineering. This comprehensive volume explores cutting-edge optical technologies revolutionizing biomedical research and diagnostics. From molecular-level investigations using carbon nanotubes to advanced imaging techniques like Fluorescence Lifetime Imaging Microscopy (FLIM) and Quantitative Phase Imaging (QPI), readers will discover how optical science is transforming our understanding of biological systems. The text covers innovative approaches including photoacoustic imaging for regenerative medicine, quantum dot applications in high-resolution microscopy, and terahertz spectroscopy for biomedical research. Practical applications range from analysing millet starch digestibility and detecting adulterated vegetable oils to quantifying exosomes and adapting expansion microscopy for virus research. The final chapter examines how deep learning (DL) models are enhancing computer-assisted diagnosis of Alzheimer's disease, highlighting the intersection of optical technologies with artificial intelligence. This essential resource provides graduate students, researchers and clinicians with a thorough understanding of modern optical diagnostic tools and their transformative potential in addressing critical biomedical challenges.
Key Features: - Provides comprehensive coverage of cutting-edge optical technologies
- Discusses interdisciplinary applications across multiple industries.
- Highlights the integration of artificial intelligence into optical technologies.
List of contents
1. Biosciences At Molecular Levels Illuminated by Near-infrared Optical Responses of Single-walled Carbon Nanotubes
2. Evaluation of Modern Optical Diagnostics Tools
3. Fluorescence Lifetime Imaging Data Analysis and Interpretation
(FLIM)
5. Quantitative Phase Imaging (QPI) in Biomedical Research
6. Advances in Photoacoustic Imaging for Regenerative Medicine and Stem Cell Therapy
7. Leveraging Quantum Dot Probes for High-Resolution and Multiplexed Microscopy
8. Spectroscopic and Microscopic Characterization of Millet Starch Digestibility
9. Advancement in Virus Research with an Adaptation of Expansion Microscopy
10. Development of an Optimized Method for the Rapid Quantification of Exosomes
11. Terahertz Spectroscopy in Biomedical Research
12. Purity Analysis of Adulterated Vegetable Oils by Optical Spectroscopy
13. A Study of Computer Assisted Diagnosis of Alzheimer's Disease by Deep Learning Models
About the author
Dr. Nirmal Mazumder is an Associate Professor at the Department of Biophysics, Manipal School of Life Sciences, Manipal Academy of Higher Education (MAHE), Manipal, India. His research interests include development of microscopy-spectroscopy techniques, biomedical devices, biophotonics, smart materials, microfluidics and its biomedical applications. He has published more than 100 research articles in the peer-reviewed international journals, 15 books, 30 book chapters, and several poster/oral/invited presentations in National and International conferences.
Dr. Yury Kistenev is a Professor at the Tomsk State University (TSU). He received his Ph.D. degree in optics in 1987 and a doctoral degree in physics and mathematics in 1997. He is the author of more than 150 journal papers and has written four books as author and editor. His current research interests include laser molecular imaging, laser spectroscopy, and machine learning.
Dr. Igor Lednev received his PhD degree from The Moscow Institute of Physics and Technology, Russian Federation before joining the University of Albany as faculty. As an academic visitor, he worked in several leading laboratories around the world including the United Kingdom, Japan, Canada, and Germany. Dr. Lednev's current research is focused on the development and application of novel laser spectroscopy for biomedical and forensic applications.
