In Vivo Cellular and Molecular ImagingEdited by
- Eric Ahrens
In recent times there has been an explosive expansion of new imaging methodologies that are capable of visualizing specific populations of cells and molecular events in vivo. Vital imaging enhances our ability to study animal models of human development and disease, such as cancers, cardiovascular disease, diabetes, and Alzheimer's. Furthermore, non-invasive imaging may ultimately be useful for monitoring new generations of clinical molecular and cellular therapeutics, such as those utilizing viral vectors and stem cells. These new capabilities have been facilitated by the development of new imaging probes or reagents that target specific cell types, are chemically responsive to physiology, or are responsive to the presence of specific molecules, such as nucleic acids or enzymes. This volume provides an introduction to some of the most exciting methods and applications of emerging non-invasive imaging technologies using magnetic resonance imaging (MRI), positron emission tomography (PET), and various biophotonic approaches. Highlighted, are recent developments in reagent design that impart unique abilities to these imaging modalities to elucidate biological processes in vivo.
Developmental biologists, cell biologists, genetics researchers, and molecular biologists.
Current Topics in Developmental Biology
Published: November 2005
Imprint: Academic Press
- 1. Magnetic Resonance Imaging: Utility as a Molecular Imaging Modality2. MRI Contrast Agents in the Study of Development3. 1H/19F Magnetic Resonance Molecular Imaging with Perfluorocarbon Nanoparticles4. Loss of cell ion homeostasis and cell viability in the brain: What sodium MRI can tell us5. Quantum dot surfaces for use in vivo and in vitro6. In Vivo Cell Biology of Cancer Cells Visualized with Fluorescent Proteins7. Modulation of tracer accumulation in malignant tumors: gene expression, gene transfer and phage display 8. Amyloid Imaging: From Bench-top to Bedside 9. In Vivo Imaging of Autoimmune Disease in Model Systems