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  • Format: ePub

Biophotonics and Biosensing: From Fundamental Research to Clinical Trials Through Advances of Signal and Image Processing 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, while also highlighting the latest developments for experts in the field. This volume includes perspectives by leading experts from the biophotonics, biomedical engineering, and data science communities.
The reader will receive a basic
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Produktbeschreibung
Biophotonics and Biosensing: From Fundamental Research to Clinical Trials Through Advances of Signal and Image Processing 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, while also highlighting the latest developments for experts in the field. This volume includes perspectives by leading experts from the biophotonics, biomedical engineering, and data science communities.

The reader will receive 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 processing algorithms as used in biophotonics. Finally, through concrete examples, including sample preparation and measurement approaches, see how the field has developed thanks to the integration of biophotonics and optical biosensing with signal 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

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