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Computational optical biomedical spectroscopy and imaging
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Author:
Sarhan MusaNumber Of Reads:
Language:
English
Category:
MedicineSection:
Pages:
470
Quality:
excellent
Views:
770
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Book Description
Computational Optical Biomedical Spectroscopy and Imaging covers recent discoveries and research in the field by some of the best inventors and researchers in the world. It also presents useful computational methods and applications used in optical biomedical spectroscopy and imaging.
Topics covered include:
New trends in immunohistochemical, genome, and metabolomics imaging Computer-aided diagnosis of interstitial lung diseases based on CT image analysis Functional near-infrared spectroscopy and its applications in neurosciences Applications of vibrational spectroscopic imaging in personal care studies Induced optical natural fluorescence spectroscopy for Giardia lamblia cysts Nanoimaging and polarimetric exploratory data analysis Fluorescence bioimaging with applications to chemistry Medical imaging instrumentation and techniques
The book also discusses future applications, directions, opportunities, and challenges of optical biomedical spectroscopy and imaging in technical industry, academia, and government. This valuable resource introduces key concepts of computational methods used in optical biomedical spectroscopy and imaging in a manner that is easily understandable to beginners and experts alike.
Sarhan Musa
Sarhan Muhammad Musa is a professor in the Department of Engineering Technology at Prairie View A&M University, Texas. He received his Ph.D. in Electrical Engineering from the City University of New York in 2001. Professor Moses is the founder and director of Prairie View Networking Academy, Texas, since 2004. He is a LTD Sprint and a Boeing Welliver Fellow. Professor Moses is the author of several books on mathematics and engineering. His current research interests include electromagnetic computation, smart grid, imaging and spectroscopy, computational nanotechnology, cybersecurity, and computer networks. EMC (based on document published on February 1, 2018).
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