Here's a first-of-its-kind book that bridges the gap between biomedical imaging and the bioscience community. This unique resource gives you a detailed understanding of imaging platforms, fluorescence imaging, and fundamental image processing algorithms. Further, it guides you through application of
Microscopic image analysis for life science applications
β Scribed by Jens Rittscher, Raghu Machiraju, Stephen T. C. Wong
- Publisher
- Artech House
- Year
- 2008
- Tongue
- English
- Leaves
- 513
- Series
- Artech House bioinformatics & biomedical imaging series
- Edition
- 1 Har/Cdr
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
Here's a first-of-its-kind book that bridges the gap between biomedical imaging and the bioscience community. This unique resource gives you a detailed understanding of imaging platforms, fluorescence imaging, and fundamental image processing algorithms. Further, it guides you through application of advanced image analysis methods and techniques to specific biological problems. The book presents applications that span a wide range of scales, from the detection of signaling events in sub-cellular structures, to the automated analysis of tissue structures. Other critical areas discussed include the dynamics of cell populations and in vivo microscopy. This cutting-edge volume is supported with over 160 illustrations that support key topics throughout the book.
π SIMILAR VOLUMES
Bioimaging in life sciences is a burgeoning area that is of growing interest to today's professionals and researchers in the field. This is the first book that bridges the gap between biomedical imaging and the bioscience community. This unique resource gives professionals a detailed understanding o
<p><P>The aim of this volume that presents Lectures given at a joint CIME and Banach Center Summer School, is to offer a broad presentation of a class of updated methods providing a mathematical framework for the development of a hierarchy of models of complex systems in the natural sciences, with a
<p>With an emphasis on applications of computational models for solving modern challenging problems in biomedical and life sciences, this book aims to bring collections of articles from biologists, medical/biomedical and health science researchers together with computational scientists to focus on p
In this dissertation, novel Content-based Microscopic Image Analysis (CBMIA) methods, including Weakly Supervised Learning (WSL), are proposed to aid biological studies. In a CBMIA task, noisy image, image rotation, and object recognition problems need to be addressed. To this end, the first approac