Imaging Modalities for Biological and Preclinical Research: A Compendium, Volume 2 (EPUB) von Andreas Walter

This compendium is designed to provide a comprehensive overview of currently available biological and preclinical imaging methods, including their benefits and limitations. Volume 2 covers in-vivo imaging techniques, correlative multimodal imaging and emerging imaging technologies.

Preface

Part II: In vivo imaging

II.1 - Intravital microscopy

II.2 - Optical coherence tomography (OCT)

II.3 - Photoacoustic imaging

II.4 - Optical imaging
II.4.a Fluorescence
II.4.b Bioluminescence
II.4.c Cerenkov luminescence imaging

II.5 - Confocal and multiphoton endomicroscopy

II.6 - Preclinical in vivo ultrasound imaging

II.7 - Magnetic resonance imaging II.7.a Nuclear magnetic resonance spectroscopy and imaging
II.7.b Functional magnetic resonance imaging
II.7.c Hyperpolarized 13C magnetic resonance spectroscopic imaging

II.8 - Magnetic particle imaging

II.9 - Computed tomography in biomedicine

II.10 - Positron emission tomography (PET)

II.11 - Single photon emission computed tomography (SPECT)

Part III: Correlative multimodal imaging and image data fusion

III.1 - Biological correlative imaging
III.1.a Correlative light electron microscopy (CLEM)
III.1.b Correlative atomic force microscopy

III.2 - (Pre)clinical hybrid imaging
III.2.a PET/CT imaging
III.2.b PET/SPECT/CT
III.2.c Positron emission tomography/magnetic resonance imaging
III.2.d Combined fluorescence molecular tomography and computed tomography (FMT/CT) to track and quantify systemically applied NIR-dye labeled nucleic acid
III.2.e Hybrid PET-CT-ultrasound imaging

III.3 - Correlative multimodality imaging across scales

III.4 - Multimodal image processing III.4.a Introduction—computer-assisted analysis of multimodality image data
III.4.b Multimodality image registration
III.4.c Learning-based approaches for multimodality imaging
III.4.d Multimodality image segmentation
III.4.e Visualization for correlative multimodality imaging
III.4.f Data compression algorithms for biomedical images
III.4.g Perspectives and conclusion—computer-assisted analysis of multimodality image data

Part IV: Future of Imaging in Biological and Preclinical Research
IV.1 Emerging technologies and outlook