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The relentless pace of innovation in biomedical imaging has provided modern researchers with an unprecedented number of techniques and tools to choose from. While the development of new imaging techniques is vital for ongoing progress in the life sciences, it is challenging for researchers to keep pace. Imaging Modalities for Biological and Preclinical Research is designed to provide a comprehensive overview of currently available biological and preclinical imaging methods, including their benefits and limitations. Experts in the field guide the reader through both the physical principles and biomedical applications of each imaging modality, including description of typical setups and sample preparation.
Volume 2 focuses on in vivo imaging methods, including intravital microscopy, ultrasound, MRI, CT and PET. Correlative multimodal imaging, (pre)clinical hybrid imaging techniques and multimodal image processing methods are also discussed. The volume concludes with a look ahead to emerging technologies and the future of imaging in biological and preclinical research.
Key Features
- Provides an overview of fast-evolving in-vivo imaging technologies.
- Bridges biological and preclinical imaging.
- Written by imaging specialists with extensive expertise in their respective fields.
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