Michelle Peckham – författare

Recent advances in molecular and biophysical techniques, particularly fluorescence and live cell imaging, are revolutionizing the study of cell motility. New bioprobes not only reveal simple intracellular localization, but also contain details of post-translational modifications, conformational state and protein-protein interactions. Coupling these insights with complementary advances in genetic and biochemical methods is enabling scientists to understand the processes involved in cell motility - from molecular motors to cell movements in vivo in a range of organisms and cell types. This book features landmark essays that provide an up to date and fascinating account of current research and concepts in cell motility.These cover the roles of molecular motors that drive movement and their interactions with the cytoskeleton as well as membrane dynamics that allow cells to change shape and to move. Cell motility plays a key role in development - there are chapters on the genetics of cell migration, the regulation of contact repulsion in growth cones, and the progression from cell migration to cell-cell adhesion. Cell motility is directional - experts describe the molecules that regulate chemotaxis, allowing cells to migrate along pathways specified by chemical gradients. Finally, cell motility can be perturbed by mutation--metastasis occurs when cells lose their normal intercellular interactions and invade other tissue types. All these processes are regulated by signals from the environment, including other tissues in the body, and the various molecules that transmit and transduce these signals are discussed. This book is a 'must read' for cell biologists working in a variety of fields, from development to wound healing, at all levels - post-doctoral fellows, post-graduate students and lab technicians. It is also stimulating reading for molecular and developmental biologists, biophysicists and biochemists.

This brand new title provides a highly illustrated and unambiguous introduction to the science, structure and function of cells, their related pathology, and in particular, helps readers master the basic principles of recognizing features of histological sections. Histology at a Glance: Presents the perfect combination of text and image; key concepts are explained and superbly illustratedProvides coverage of all the main body systems and the components of the tissues of these systemsFeatures practical information on microscopy, including sample preparation and magnificationIncludes hints and tips to help recognize features in a histological specimen, and overcome common difficultiesContains self-assessment questions to help test learning and recognitionLinks to the author’s histological website, which features many more tips and samples, at www.wiley.com/go/histologyataglanceHistology at a Glance is the perfect guide for medical, dentistry and biomedical science students, junior doctors, and is ideal for independent learning programmes in histology.

The three-volume set LNCS 15916,15917 & 15918 constitutes the refereed proceedings of the 29th Annual Conference on Medical Image Understanding and Analysis, MIUA 2025, held in Leeds, UK, during July 15–17, 2025.The 67 revised full papers presented in these proceedings were carefully reviewed and selected from 99 submissions. The papers are organized in the following topical sections:Part I: Frontiers in Computational Pathology; and Image Synthesis and Generative Artificial Intelligence.Part II: Image-guided Diagnosis; and Image-guided Intervention.Part III: Medical Image Segmentation; and Retinal and Vascular Image Analysis.

The three-volume set LNCS 15916,15917 & 15918 constitutes the refereed proceedings of the 29th Annual Conference on Medical Image Understanding and Analysis, MIUA 2025, held in Leeds, UK, during July 15–17, 2025.The 67 revised full papers presented in these proceedings were carefully reviewed and selected from 99 submissions. The papers are organized in the following topical sections:Part I: Frontiers in Computational Pathology; and Image Synthesis and Generative Artificial Intelligence.Part II: Image-guided Diagnosis; and Image-guided Intervention.Part III: Medical Image Segmentation; and Retinal and Vascular Image Analysis.