Phase Mapping of Human Biological Tissues (eBook)

This book presents numerical computer-aided smart-methods as part of a comprehensive statistical, correlation and fractal analysis of laser polarimetry data. It highlights relationships between polarization (azimuth distributions, polarization ellipticities, Stokes vector parameters, Mueller matrix elements) parameters of laser images of biological tissues of a human corpse in different spectral ranges and temporal dynamics of their postmortem morphological changes. The book discusses the effectiveness of correlation analysis of two-dimensional distributions of polarization inhomogeneous images of histological sections of the main types of biological tissues in determining the time of death. It also discusses the development of basic principles of phase measurements (phasometry) of microscopic images of biological tissues to determine the age of death and the time of hematoma formation. Also presented in the book are possibilities of complex laser spectral photopolarimetry images of histological sections of biological tissues of human corpse in different spectral regions, with the simultaneous development and substantiation of a set of statistical and correlational criteria for objective determination of the time of death.

Dr. Zhengbin Hu is the Deputy Director at the International Center of Informatics and Computer Science, Faculty of Applied Mathematics, National Technical University of Ukraine 'Kyiv Polytechnic Institute', Ukraine. Adjunct Professor, School of Computer Science, Hubei University of Technology, China. His research interests are in the areas of Computer Science and Technology Applications, Artificial Intelligence, Network Security, Communications, Data Processing, Cloud Computing, Education Technology.

Dr. V.T. Bachinsky graduated from Chernivtsi State Medical Institute in 1976. From 1979 to 1981, he studied in graduate school at the Department of Forensic Medicine of Chernivtsi State Medical Institute. From 1982 to 1989 he worked as an assistant at the Department of Forensic Medicine of the Chernivtsi State Medical Institute, from 1989 to 2009 he was an associate professor at the Department of Pathomorphology and Forensic Medicine of the Bukovinian State Medical Academy. From 2009 to 2011 - Professor of the Department of Pathomorphology and Forensic Medicine of Bukovinian State Medical University (BSMU), and since September 2011 - Head of the Department of Forensic Medicine and Medical Law of BSMU.

Dr. O.Y. Vanchulyak graduated from Bukovinian State Medical Academy with a degree in General Medicine in 1999. From 1999 to 2000 he studied at the internship in the specialty 'Forensic Medicine' at the Shupyk Kyiv Medical Academy of Postgraduate Education of Physicians. Doctor of Medical Sciences (2017). Professor of the Department (2020). Since 2000, he has been working as a part-time forensic medical expert at the Regional Bureau of Forensic Medical Examination of the CMU.

Dr. Iryna Soltys graduated from the Chernivtsi National University. She received her BS and MS degrees in optics from the Chernivtsi National University in 2009 and 2010, respectively, and her PhD degree in optics, laser physics from the Chernivtsi National University in 2013. She is an Associate Professor at the Chernivtsi National University. Her current research interests include laser polarimetry, holography etc.

Dr. Yuriy A. Ushenko obtained his PhD in Optics and Laser Physics in 2006, and D.Sc. in Optics and Laser Physics from the Taras Shevchenko National University of Kyiv in2015. He is currently a Professor and Head of the Computer Science Department at Chernivtsi National University, Ukraine. His current research interests include laser polarimetry, holography, application of AI in Life Sciences.

Dr. Alexander G. Ushenko  is the Head of Optics and Publishing Department at the Chernivtsi National University, Ukraine. He received his BS and MS degrees in Optics from the Chernivtsi State University in 1975 and 1977, respectively, and his PhD degree in Optics and Laser Physics from the Chernivtsi State University in 1983.  In 2000 he obtained D.Sc. in Optics and Laser Physics. His current research interests include laser polarimetry, polarization interferometry and digital holography.

Dr. Igor Meglinski is a Professor at the School of Engineering & Applied Science and at the School of Life & Health Sciences in Aston University, Birmingham (UK), and at the Faculty of Information Technology and Electrical Engineering of the University of Oulu (Finland). He is Chartered Physicist (CPhys), Chartered Engineer (CEng), Fellow of Institute of Physics, and Fellow of SPIE. His research interests lie at the interface between physics, optical and biomedical engineering, sensor technologies and life sciences, focusing on the development of new non-invasive imaging/diagnostic techniques and their application in medicine & biology, material sciences, pharmacy, food, environmental monitoring, and health care industries.

 

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This book presents numerical computer-aided smart-methods as part of a comprehensive statistical, correlation and fractal analysis of laser polarimetry data. It highlights relationships between polarization (azimuth distributions, polarization ellipticities, Stokes vector parameters, Mueller matrix elements) parameters of laser images of biological tissues of a human corpse in different spectral ranges and temporal dynamics of their postmortem morphological changes. The book discusses the effectiveness of correlation analysis of two-dimensional distributions of polarization inhomogeneous images of histological sections of the main types of biological tissues in determining the time of death. It also discusses the development of basic principles of phase measurements (phasometry) of microscopic images of biological tissues to determine the age of death and the time of hematoma formation. Also presented in the book are possibilities of complex laser spectral photopolarimetry images ofhistological sections of biological tissues of human corpse in different spectral regions, with the simultaneous development and substantiation of a set of statistical and correlational criteria for objective determination of the time of death.