The major advantage of in vivo optical techniques is the ability to study many levels of function of the CNS that are inaccessible by other methods. This rapidly expanding field is multidisciplinary in nature and findings have thus far been scattered throughout the literature. In Vivo Optical Imaging of Brain Function reviews the wide varie

This open access book, edited and authored by a team of world-leading researchers, provides a broad overview of advanced photonic methods for nanoscale visualization, as well as describing a range of fascinating in-depth studies. Introductory chapters cover the most relevant physics and basic methods that young researchers need to master in order to work effectively in the field of nanoscale photonic imaging, from physical first principles, to instrumentation, to mathematical foundations of imaging and data analysis. Subsequent chapters demonstrate how these cutting edge methods are applied to a variety of systems, including complex fluids and biomolecular systems, for visualizing their structure and dynamics, in space and on timescales extending over many orders of magnitude down to the femtosecond range. Progress in nanoscale photonic imaging in Göttingen has been the sum total of more than a decade of work by a wide range of scientists and mathematicians across disciplines, working together in a vibrant collaboration of a kind rarely matched. This volume presents the highlights of their research achievements and serves as a record of the unique and remarkable constellation of contributors, as well as looking ahead at the future prospects in this field. It will serve not only as a useful reference for experienced researchers but also as a valuable point of entry for newcomers.

Written by an authority involved in the field since its nascent stages, Diffuse Optical Tomography: Principles and Applications is a long-awaited profile of a revolutionary imaging method. Diffuse Optical Tomography (DOT) provides spatial distributions of intrinsic tissue optical properties or molecular contrast agents through model-based reconstruction algorithms using NIR measurements along or near the boundary of tissue. Despite the practical value of DOT, many engineers from electrical or applied mathematics backgrounds do not have a sufficient understanding of its vast clinical applications and portability value, or its uncommon advantages as a tool for obtaining functional, cellular, and molecular parameters. A collection of the author’s research and experience, this book fuses historical perspective and experiential anecdotes with fundamental principles and vital technical information needed to successfully apply this technology—particularly in medical imaging. This reference finally outlines how to use DOT to create experimental image systems and adapt the results of laboratory studies for use in clinical applications including: Early-stage detection of breast tumors and prostate cancer "Real-time" functional brain imaging Joint imaging to treat progressive diseases such as arthritis Monitoring of tumor response New contrast mechanisms and multimodality methods This book covers almost every aspect of DOT—including reconstruction algorithms based on nonlinear iterative Newton methods, instrumentation and calibration methods in both continuous-wave and frequency domains, and important issues of imaging contrast and spatial resolution. It also addresses phantom experiments and the development of various image-enhancing schemes, and it describes reconstruction methods based on contrast agents and fluorescence DOT. Offering a concise description of the particular problems involved in optical tomography, this reference illustrates DOT’s fundamental foundations and the principle of image reconstruction. It thoroughly explores computational methods, forward mathematical models, and inverse strategies, clearly illustrating solutions to key equations.

Biomedical photonics is currently one of the fastest growing fields, connecting research in physics, optics, and electrical engineering coupled with medical and biological applications. It allows for the structural and functional analysis of tissues and cells with resolution and contrast unattainable by any other methods. However, the major challenges of many biophotonics techniques are associated with the need to enhance imaging resolution even further to the sub-cellular level as well as translate them for in vivo studies. The tissue optical clearing method uses immersion of tissues into optical clearing agents (OCAs) that reduces the scattering of tissue and makes tissue more transparent and this method has been successfully used ever since. This book is a self-contained introduction to tissue optical clearing, including the basic principles and in vitro biological applications, from in vitro to in vivo tissue optical clearing methods, and combination of tissue optical clearing and various optical imaging for diagnosis. The chapters cover a wide range of issues related to the field of tissue optical clearing: mechanisms of tissue optical clearing in vitro and in vivo; traditional and innovative optical clearing agents; recent achievements in optical clearing of different tissues (including pathological tissues) and blood for optical imaging diagnosis and therapy. This book provides a comprehensive account of the latest research and possibilities of utilising optical clearing as an instrument for improving the diagnostic effectiveness of modern optical diagnostic methods. The book is addressed to biophysicist researchers, graduate students and postdocs of biomedical specialties, as well as biomedical engineers and physicians interested in the development and application of optical methods in medicine. Key features: The first collective reference to collate all known knowledge on this topic Edited by experts in the field with chapter contributions from subject area specialists Brings together the two main approaches in immersion optical clearing into one cohesive book

A vivid, hands-on discussion of the statistical methods in imaging, optics, and photonics applications In the field of imaging science, there is a growing need for students and practitioners to be equipped with the necessary knowledge and tools to carry out quantitative analysis of data. Providing a self-contained approach that is not too heavily statistical in nature, Statistics for Imaging, Optics, and Photonics presents necessary analytical techniques in the context of real examples from various areas within the field, including remote sensing, color science, printing, and astronomy. Bridging the gap between imaging, optics, photonics, and statistical data analysis, the author uniquely concentrates on statistical inference, providing a wide range of relevant methods. Brief introductions to key probabilistic terms are provided at the beginning of the book in order to present the notation used, followed by discussions on multivariate techniques such as: Linear regression models, vector and matrix algebra, and random vectors and matrices Multivariate statistical inference, including inferences about both mean vectors and covariance matrices Principal components analysis Canonical correlation analysis Discrimination and classification analysis for two or more populations and spatial smoothing Cluster analysis, including similarity and dissimilarity measures and hierarchical and nonhierarchical clustering methods Intuitive and geometric understanding of concepts is emphasized, and all examples are relatively simple and include background explanations. Computational results and graphs are presented using the freely available R software, and can be replicated by using a variety of software packages. Throughout the book, problem sets and solutions contain partial numerical results, allowing readers to confirm the accuracy of their approach; and a related website features additional resources including the book's datasets and figures. Statistics for Imaging, Optics, and Photonics is an excellent book for courses on multivariate statistics for imaging science, optics, and photonics at the upper-undergraduate and graduate levels. The book also serves as a valuable reference for professionals working in imaging, optics, and photonics who carry out data analyses in their everyday work.

Theory/Algorithm/Modeling; Instrumentation and Technology I; Fluorescence Imaging/Spectroscopy (algorithm/model/tomography); Fluorescence Imaging/Image Reconstruction (Experimental); Instrumentation and Technology II; Fluorescence Imaging Technology I; Fluorescence Imaging Technology II; Fluorescence Imaging Technology III; Network for Translational Research in Optical Imaging: Breast Cancer Diffuse Optical Imaging; Breast II - Instrumentation & New Analysis Method; Breast III - Clinical Study; Pre-Clinical/Animal; Instrumentation and Technology III; Clinical/Human Subject Studies.