This book provides a comprehensive introduction to the range of quantitative imaging methods used in the clinic and lab to help guide outcomes and understand the impact of key biological mechanisms. It develops for the reader the methodologies, algorithmic and mathematical frameworks, and workflows used in the analysis of cell and tissue images. Case studies are incorporated throughout to show how the methods are applied in real situations to define phenotypes and associate them with specific outcomes. The chapters cover four major areas: image-based cytometry, tissue architecture, cellular dynamics, and the molecular context.

Jens Rittscher holds a position as a professor of engineering science at the University of Oxford, UK. The Department of Engineering Science and Nuffield Department of Medicine jointly established his post. He is a group leader at the Target Discovery Institute (TDI) and a member of the Ludwig Institute of Cancer Research. Before coming to Oxford he worked at GE Global Research, one of the world's largest and most diversified industrial research laboratories. Jens Rittscher gained international recognition for developing new algorithms and computational platforms that enable the extraction of quantitative information from complex biomedical image data. His research demonstrates that advancing quantitative image analysis methods enables large-scale biological studies that were not previously possible. He is the founder of a workshop series entitled Microscopic Image Analysis with Applications in Biology, and has been active in international conferences including as program chair of the IEEE International Symposium on Biomedical Imaging (ISBI).

Raghu Machiraju is an established computer scientist who counts biological data analysis and visualization as one of his primary research activities. He holds the rank of a Full Professor in the departments of Bioinformatics and Computer Science and Engineering at The Ohio State University (OSU). Notable efforts of his group include the re-construction of the female mouse placenta, the comprehensive processing of histology and confocal microscopy images, the visual analysis of spatiotemporal patterns of genes in a developing mouse brain, the delineation of neural structures as manifest in magnetic resonance (MR) and confocal microscopy images, and the state-space modeling of brain activity as captured by functional-MR images. Machiraju has published on these topics at many conferences including MICCAI (Medical Image Computing and Computer Aided Intervention), ISBI and in various journals, and he has been chair of the IEEE Visualization Conference. Additionally, he served as one of the founding chairs of the Symposium on Biological Data Visualization (BioVis) and routinely teaches courses on visual analytics, bioinformatics, and imaging.