Optical Polarimetric Modalities For Biomedical Research
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Optical Polarimetric Modalities for Biomedical Research
This book focuses on polarization microscopy, a powerful optical tool used to study anisotropic properties in biomolecules, and its enormous potential to improve diagnostic tools for various biomedical research. The interaction of polarized light with normal and abnormal regions of tissue reveals structural information associated with its pathological condition. Diagnosis using conventional microscopy can be time-consuming, as pathologists require an hour to freeze and stain tissue slices from suspected patients. In comparison, polarization microscopy more quickly distinguishes abnormal tissue and provides better microstructural information of samples, even in the absence of staining. This book provides a basic understanding of the properties of polarized light, a description of the polarization microscope, and a mathematical formalism of Mueller matrix polarimetry. The authors discuss various advanced linear and nonlinear optical techniques such as optical coherence tomography (OCT), reflectance and transmission spectroscopy, fluorescence, multiphoton excitation, second harmonic generation, Raman microscopy, and more. They explore the exciting potential of integrating polarimetry with these techniques for possible applications in different areas of biomedical research, as well as the associated challenges. Including the most recent developments on the topic, this book serves as a modern guide to polarization microscopy and advancements in its use in biomedical research.
Machine Intelligence, Tools, and Applications
Author: Satchidananda Dehuri
language: en
Publisher: Springer Nature
Release Date: 2024-07-29
This book presents the recent advances including tools and techniques in the constantly changing landscape of machine learning (ML). This would enable the readers with a strong understanding of critical issues in ML by providing both broad and detailed perspectives on cutting-edge theories, algorithms, and tools. This will become a single source of reference on conceptual, methodological, technical, and managerial issues, as well as provide insight into emerging trends and future opportunities in the discipline of ML. This book contains altogether 36 chapters in the area of ML and its applications.
Smart Electromechanical Systems
Author: Irina Leonidovna Tarasova
language: en
Publisher: Springer Nature
Release Date: 2024-08-20
Intelligent electromechanical systems (SEMS) are used in cyber-physical systems that have the ability to integrate computing, transmission and storage of information, monitoring and management of objects of the physical world. Modern intelligent robots are created based on CMS modules. A distinctive feature of SEMS is the presence of a central nervous system (CNS) similar to a human one. The Central Nervous System ensures that decisions about appropriate behavior are made in accordance with the goals of SEMS based on rational knowledge about the environment in which it operates, and in accordance with its own technical and mental state. For the Central nervous system, the extraction and processing of this external information by the central nervous system is an integral part of the process of forming their situational control systems. Moreover, in order for SEMS to act expediently in a changing and unfamiliar environment and without human participation, it is necessary to endow them with properties similar to the mental properties of animals, since emotions and temperament are among the main assessments of the behavior of highly organized organisms. Therefore, it is quite natural to take into account the influence of emotions on decision-making in conditions of incomplete information about the environment, especially when SEMS interacts with a person to perform complex technological operations.. Despite the existing technical difficulties, a significant number of mathematical and software tools have accumulated to date, providing the CNS SEMS with the ability to take into account the psyche when interacting with a person. Limitations of sensory capabilities and computing power should be attributed to the limited cognitive abilities of artificial intelligence. These features of the central nervous system of modern SEMS must be taken into account when creating mathematical and software tools for SEMS information and measurement systems, for the formation of databasesand knowledge, for recognition and classification, decision-making and the formation of control actions.