This volume details methods used to track cells in the body and will serve as a reference for preclinical and clinical researchers in the fields of medicine and biomedical science. Chapters guide readers through protocols on bioluminescence imaging, fluorescence imaging, magnetic resonance imaging (MRI), ultrasound, computed tomography, and positron emission spectroscopy. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls. Authoritative and cutting-edge, Cell Tracking: Methods and Protocols aims to ensure successful results in the further study of this vital field.
Computers have become an integral part of medical imaging systems and are used for everything from data acquisition and image generation to image display and analysis. As the scope and complexity of imaging technology steadily increase, more advanced techniques are required to solve the emerging challenges. Biomedical Image Analysis demonstr
Stem Cell Labeling for Delivery and Tracking Using Noninvasive Imaging provides a comprehensive overview of cell therapy imaging, ranging from the basic biology of cell therapeutic choices to the preclinical and clinical applications of cell therapy. It emphasizes the use of medical imaging for therapeutic delivery/targeting, cell tracking, and det
Cell Movement in Health and Disease brings the several scientific domains related to the phenomena together, establishing a consistent foundation for researchers in this exciting field. The content is presented in four main section. The first explores the foundations of Cell Movement, including overviews of cellular structure, signaling, physiology, motion-related proteins, and the interface with the cellular membrane. The second part covers the biological aspects of cellular movement, starting with chemical and mechanical sensing, describing the types of cell movement, mechanics at cell level, cell physiology, collective behavior, and the connections with the extracellular matrix. The following chapters provide an overview of the molecular machinery involved and cell-type specific movement. The third part of the book is dedicated to the translational aspects of cell movement, highlighting the key conditions associated with cell movement dysfunction, like cell invasion in cancer, wound healing, developmental issues, neurological dysfunctions, and immune response. The final part of the book covers key methods and modeling tools for cell movement research, including predictive mathematical models, in vitro and in vivo methods, biophysical and bioinformatics tools. Cell Movement in Health and Disease is the ideal reference for scientists from different backgrounds converging to expand the understanding of this key cellular process. Cellular and molecular biologists will gain a better understanding of the physical principals operating at cellular level while biophysicist and biomedical engineers will benefit from the solid biology foundation provided by the book. - Combines Biology, Physics and Modeling of cellular movement in one single source - Updated with the current understanding of the field - Includes key research methods for cell movement investigation - Cover translational aspects of cellular movement
"Cell biology is becoming an increasingly quantitative field, as technical advances mean researchers now routinely capture vast amounts of data. This handbook is an essential guide to the computational approaches, image processing and analysis techniques, and basic programming skills that are now part of the skill set of anyone working in the field"--
This three-volume set LNCS 11901, 11902, and 11903 constitutes the refereed conference proceedings of the 10thth International Conference on Image and Graphics, ICIG 2019, held in Beijing, China, in August 2019. The 183 full papers presented were selected from 384 submissions and focus on advances of theory, techniques and algorithms as well as innovative technologies of image, video and graphics processing and fostering innovation, entrepreneurship, and networking.
This volume of Methods in Enzymology is the first of three parts looking at current methodology for the imaging and spectroscopic analysis of live cells. The chapters provide hints and tricks not available in primary research publications. It is an invaluable resource for academics, researchers and students alike. Expert authors who are leaders in the field Extensively referenced and useful figures and tables Provides hints and tricks to facilitate reproduction of methods
The six-volume set LNCS 11764, 11765, 11766, 11767, 11768, and 11769 constitutes the refereed proceedings of the 22nd International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2019, held in Shenzhen, China, in October 2019. The 539 revised full papers presented were carefully reviewed and selected from 1730 submissions in a double-blind review process. The papers are organized in the following topical sections: Part I: optical imaging; endoscopy; microscopy. Part II: image segmentation; image registration; cardiovascular imaging; growth, development, atrophy and progression. Part III: neuroimage reconstruction and synthesis; neuroimage segmentation; diffusion weighted magnetic resonance imaging; functional neuroimaging (fMRI); miscellaneous neuroimaging. Part IV: shape; prediction; detection and localization; machine learning; computer-aided diagnosis; image reconstruction and synthesis. Part V: computer assisted interventions; MIC meets CAI. Part VI: computed tomography; X-ray imaging.
Aimed at postgraduate students in a variety of biology-related disciplines, this volume presents a collection of mathematical and computational single-cell-based models and their application. The main sections cover four general model groupings: hybrid cellular automata, cellular potts, lattice-free cells, and viscoelastic cells. Each section is introduced by a discussion of the applicability of the particular modelling approach and its advantages and disadvantages, which will make the book suitable for students starting research in mathematical biology as well as scientists modelling multicellular processes.
