Computational optical biomedical spectroscopy and imaging pdf

Sarhan Muhammad Musa es profesor en el Departamento de Tecnología de Ingeniería de la Universidad Prairie View A&M, Texas. Recibió su Ph.D. en Ingeniería Eléctrica de la Universidad de la Ciudad de Nueva York en 2001. El profesor Moses es el fundador y director de Prairie View Networking Academy, Texas, desde 2004. Es LTD Sprint y Boeing Welliver Fellow. El profesor Moses es autor de varios libros sobre matemáticas e ingeniería. Sus intereses de investigación actuales incluyen computación electromagnética, redes inteligentes, imágenes y espectroscopia, nanotecnología computacional, ciberseguridad y redes informáticas. EMC (basado en documento publicado el 1 de febrero de 2018).

Computational optical biomedical spectroscopy and imaging pdf por Sarhan Musa

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.