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Biophotonics and Biosensing
From Fundamental Research to Clinical Trials Through Advances of Signal and Image Processing
- 1st Edition - May 21, 2024
- Editors: Andrea Armani, Tatevik Chalyan, David Sampson
- Language: English
- Paperback ISBN:9 7 8 - 0 - 4 4 3 - 1 8 8 4 0 - 4
- eBook ISBN:9 7 8 - 0 - 4 4 3 - 1 8 8 4 1 - 1
Biophotonics and Biosensing brings together the knowledge of the basic principles of the field of light–biological tissue interaction, detection methods, data processing techni… Read more
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Request a sales quoteBiophotonics and Biosensing brings together the knowledge of the basic principles of the field of light–biological tissue interaction, detection methods, data processing techniques, and research, diagnostic, and clinical applications. It is suitable for new entrants to the field, while also highlighting the latest developments for experts. This volume includes perspectives by leading experts from the biophotonics and biosensing, biomedical engineering, and data science communities.
The book provides a basic grounding in the key theoretical principles and practical components of biophotonics and biosensing. Working principles of devices used in spectroscopy, microscopy, and optical sensing are presented, along with their application domains. The reader will learn about existing microscopy-based techniques used in biomedical applications for diagnosis and get to know different signal- and image-processing algorithms, including the state of the art in artificial intelligence approaches, as used in biophotonics. Finally, the book describes through concrete examples, including sample preparation and measurement approaches, how the field has developed, thanks to the integration of biophotonics and optical biosensing with advanced signal and image-processing.
- Introduces key principles of light-biological tissue interactions and biosensing
- Discusses how the most promising optical diagnostic methods can exploit contemporary signal and image processing algorithms and data analytics
- Includes examples of clinical studies with detailed descriptions of their implementation, along with practical guidance
Biomedical Engineers, Photonics Engineers, Materials Scientists
- Cover image
- Title page
- Table of Contents
- Copyright
- List of contributors
- Preface
- Part One: Background and principles of biophotonics and optical biosensing
- 1: Tissue optics
- Abstract
- 1.1. Introduction
- 1.2. Optical properties of tissue
- 1.3. Light-tissue interactions
- 1.4. Modeling of light tissue interactions
- 1.5. Conclusion
- References
- 2: Optical biosensors: from working principles to detection methods of label-free devices
- Abstract
- 2.1. Biosensors
- 2.2. Label-free optical biosensors
- 2.3. Label-free biosensing principle
- 2.4. Bioreceptors and bioconjugation strategies
- 2.5. Conclusions
- References
- Part Two: Microscopy techniques and optical biosensing in research, laboratory, and clinical applications
- 3: Fluorescence microscopy: backbone of modern biomedical research
- Abstract
- 3.1. Fluorescence phenomena: photons in, photons out
- 3.2. Photodamage and the pyramid of tradeoffs
- 3.3. News from the coverslip: diagnostics, sequencing, and biotech engineering
- 3.4. What's the point? Confocal and laser-scanning imaging
- 3.5. Promise of light-sheet microscopy: from single molecule to whole brain
- 3.6. Look closer: super-resolution imaging
- 3.7. Going in vivo with mouse brain imaging
- 3.8. From ground up: building your own microscope
- 3.9. Conclusions
- References
- 4: Raman spectroscopy—research lab analytics
- Abstract
- 4.1. Introduction
- 4.2. Raman theory
- 4.3. Raman spectroscopy and microscopy instrumentation and applications
- 4.4. Summary
- References
- 5: Subwavelength periodic dielectric nanostructures for biochemical sensing
- Abstract
- 5.1. Introduction
- 5.2. Refractometric (refractive index) sensing
- 5.3. Fluorescence sensing
- 5.4. Chiral molecule detection by circular dichroism (CD) spectroscopy
- 5.5. Conclusion
- References
- 6: Integrated photonic and plasmonic biosensors
- Abstract
- 6.1. Introduction
- 6.2. Biosensor surface functionalization
- 6.3. Microfluidics
- 6.4. Biosensor performance metrics
- 6.5. Photonic biosensors
- 6.6. Plasmonic biosensors
- 6.7. Conclusions
- References
- 7: Optical fiber-based biosensing: applications in biology and medicine
- Abstract
- 7.1. Introduction
- 7.2. Principles of fiber optic sensors
- 7.3. Fiber-based biosensing techniques
- 7.4. Summary and outlook
- References
- 8: Photonic biosensing at the point-of-care
- Abstract
- 8.1. Introduction: the need for PoC biosensing
- 8.2. State-of-the-art commercial PoC systems
- 8.3. From the state-of-the-art to new frontiers in PoC diagnostics
- 8.4. Next generation optical and photonic PoC biosensing
- 8.5. Conclusions and prospective
- References
- 9: Endomicroscopy
- Abstract
- 9.1. Technology
- 9.2. Challenges and needs
- 9.3. Application domains
- 9.4. Conclusions
- References
- 10: Optical coherence tomography technology in clinical applications
- Abstract
- 10.1. Introduction
- 10.2. Theoretical background
- 10.3. Clinical applications of OCT
- 10.4. Conclusion
- References
- Part Three: Advanced signal/image processing and data analysis methods for microscopy and sensing techniques
- 11: Innovations in signal/image processing and data analysis in optical microscopy
- Abstract
- 11.1. Introduction
- 11.2. Denoising
- 11.3. Resolution enhancement
- 11.4. Stitching & registration
- 11.5. Qualitative enhancement by color matching and stain normalization
- 11.6. Semantic understanding / information extraction
- 11.7. Challenges, limitations, and ethical considerations
- 11.8. Conclusion
- Acknowledgments
- Author contributions statement
- Conflict of interest
- Glossary or nomenclature list
- References
- 12: Recent innovations in signal and image processing and data analysis in Raman spectroscopy
- Abstract
- 12.1. Introduction
- 12.2. Signal processing for spectral analysis
- 12.3. Image processing
- 12.4. Conclusion
- References
- 13: AI-driven innovations in signal/image processing and data analysis for optical coherence tomography in clinical applications
- Abstract
- Preface
- Glossary
- 13.1. Introduction
- 13.2. OCT image enhancement
- 13.3. OCT image segmentation
- 13.4. AI OCT-based methods for screening, decision-making, and outcome prediction for disease
- 13.5. Challenges, opportunities, and future directions
- 13.6. Conclusions
- References
- Index
- No. of pages: 550
- Language: English
- Edition: 1
- Published: May 21, 2024
- Imprint: Elsevier
- Paperback ISBN: 9780443188404
- eBook ISBN: 9780443188411
AA
Andrea Armani
Andrea Armani is jointly appointed at the Ellison Institute of Technology as the Senior Director of Physical Sciences and Engineering and at the University of Southern California as the Ray Irani Chair in Chemical Engineering and Materials Science. The overarching mission of her research is to develop nonlinear materials and integrated devices to advance microscopy and diagnostics. She is a Fellow of Optica, SPIE, NAI, and AAAS, and the impact of her work has been recognized by the World Economic Forum and others.
TC
Tatevik Chalyan
Tatevik Chalyan is a postdoctoral researcher in the Brussels Photonics Team at the Vrije Universiteit Brussel, Belgium. Her research interests cover the fields of biophotonics and optical biosensing. Her work focuses on the nanofabrication and development of plasmonic substrates for surface-enhanced Raman spectroscopy and fluorescence microscopy, as well as the study of microring resonators and interferometer-based biosensors for refractive index sensing, optofluidic design, and validation. Moreover, she is an Optica Ambassador.
DS
David Sampson
David Sampson is Emeritus Professor at the University of Surrey and based in Perth, Western Australia. His overarching research interests are in the science and applications of light in medicine and biology, biomedical optics, and biophotonics. He is an authority in optical coherence tomography (OCT), with main interests in the microscope-in-a-needle (which targets surgical and biopsy guidance, for which he was awarded the IEEE Distinguished Lecturer Award and several other prizes), optical elastography (the micro-scale imaging of the mechanical properties of tissue), polarization-sensitive OCT and OCT angiography. His main application domains have been breast cancer, respiratory disease, and skin cancer. He is a fellow of AIMBE, IEEE, Optica, and SPIE.