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
Signal and Image Analysis for Biomedical and Life Sciences
β Scribed by Changming Sun, Tomasz Bednarz, Tuan D. Pham, Pascal Vallotton, Dadong Wang (eds.)
- Publisher
- Springer International Publishing
- Year
- 2015
- Tongue
- English
- Leaves
- 286
- Series
- Advances in Experimental Medicine and Biology 823
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
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 problems at the frontier of biomedical and life sciences. The goals of this book are to build interactions of scientists across several disciplines and to help industrial users apply advanced computational techniques for solving practical biomedical and life science problems. This book is for users in the fields of biomedical and life sciences who wish to keep abreast with the latest techniques in signal and image analysis. The book presents a detailed description to each of the applications. It can be used by those both at graduate and specialist levels.
β¦ Table of Contents
Front Matter....Pages i-xvi
Front Matter....Pages 1-1
Visual Analytics of Signalling Pathways Using Time Profiles....Pages 3-22
Modeling of Testosterone Regulation by Pulse-Modulated Feedback....Pages 23-40
Hybrid Algorithms for Multiple Change-Point Detection in Biological Sequences....Pages 41-61
Stochastic Anomaly Detection in Eye-Tracking Data for Quantification of Motor Symptoms in Parkinsonβs Disease....Pages 63-82
Identification of the Reichardt Elementary Motion Detector Model....Pages 83-105
Multi-complexity Ensemble Measures for Gait Time Series Analysis: Application to Diagnostics, Monitoring and Biometrics....Pages 107-126
Development of a Motion Capturing and Load Analyzing System for Caregivers Aiding a Patient to Sit Up in Bed....Pages 127-142
Classifying Epileptic EEG Signals with Delay Permutation Entropy and Multi-scale K-Means....Pages 143-157
Tracking of EEG Activity Using Motion Estimation to Understand Brain Wiring....Pages 159-174
Front Matter....Pages 175-175
Towards Automated Quantitative Vasculature Understanding via Ultra High-Resolution Imagery....Pages 177-189
Cloud Based Toolbox for Image Analysis, Processing and Reconstruction Tasks....Pages 191-205
Pollen Image Classification Using the Classifynder System: Algorithm Comparison and a Case Study on New Zealand Honey....Pages 207-226
Digital Image Processing and Analysis for Activated Sludge Wastewater Treatment....Pages 227-248
A Complete System for 3D Reconstruction of Roots for Phenotypic Analysis....Pages 249-270
Back Matter....Pages 271-276
β¦ Subjects
Image Processing and Computer Vision; Biomedicine general; Life Sciences, general
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
As its title suggests, this innovative book has been written for life scientists needing to analyse their data sets, and programmers, wanting a better understanding of the types of experimental images life scientists investigate on a regular basis. Each chapter presents one self-contained biomedical