Advances in Bio-Imaging: From Physics to Signal Understanding Issues

State-of-the-Art and Challenges

Editors:

ISBN: 978-3-642-25546-5 (Print) 978-3-642-25547-2 (Online)

Table of contents (14 chapters)

  1. Front Matter

    Pages 1-18

  2. Biology

    1. Front Matter

      Pages 1-2

    2. No Access

      Chapter

      Pages 3-16

      Intravital Multiphoton Imaging of Immune Cells

    3. No Access

      Chapter

      Pages 17-25

      Functional MRI of Neural Plasticity and Drug Effect in the Brain

    4. No Access

      Chapter

      Pages 27-33

      Automated Identification and Analysis of Visual Micro-experiments on Cellular Microarray

  3. Physics and Chemistry

    1. Front Matter

      Pages 35-36

    2. No Access

      Chapter

      Pages 37-53

      Persistent Luminescence Nanoparticles for Bioimaging

    3. No Access

      Chapter

      Pages 55-66

      Bioimaging Probes Development by DOFLA (Diversity Oriented Fluorescence Library Approach) for in Vitro, in Vivo and Clinical Applications

    4. No Access

      Chapter

      Pages 67-76

      In Vivo Electron Paramagnetic Resonance and Imaging in Biomedical Science

    5. No Access

      Chapter

      Pages 77-84

      Intra-Operative Ex-Situ and In-Situ Optical Biopsy Using Light-CT

    6. No Access

      Chapter

      Pages 85-111

      Photothermal Laser Material Interactions - From the Sledgehammer to Nano-GPS

    7. No Access

      Chapter

      Pages 113-153

      Dual Axes Confocal Microendoscope

  4. Digitized Histopathology

    1. Front Matter

      Pages 155-156

    2. No Access

      Chapter

      Pages 157-172

      Ontology-Enhanced Vision System for New Microscopy Imaging Challenges

    3. No Access

      Chapter

      Pages 173-190

      Computational Approaches for the Processing of Cerebral Histological Images of Small Animals

  5. Image Analysis

    1. Front Matter

      Pages 191-192

    2. No Access

      Chapter

      Pages 193-208

      Liver Workbench: A Tool Suite for Liver and Liver Tumor Segmentation and Modeling

    3. No Access

      Chapter

      Pages 209-222

      A Bag-of-Words Model for Cellular Image Segmentation

    4. No Access

      Chapter

      Pages 223-236

      Knowledge Based and Statistical Based Approaches in Biomedical Image Analysis

  6. Back Matter

    Pages 1-1