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Genetic imaging, in the context of genomic signal processing, is an emerging and exciting cross-disciplinary research area focusing on the interaction and cross-fertilization of imaging technologies with genetic research. The past few decades have seen significant progress in this area. Genetic imaging technologies such as the chromosome banding, fluorescence in situ hybridization (FISH), spectral karyotyping (SKY), multiplex fluorescence in situ hybridization (M-FISH) and comparative genomic hybridization (CGH) have been developed for cancer and genetic disease diagnosis and prognosis. The advent of human genome sequencing and microarray (biochip) techniques open new avenues for this research area; high resolution genetic probes are developed based on the genome sequencing data, which can detect subtle and cryptic genetic aberrations unattainable with conventional techniques. In the meantime, however, they also bring about computational challenges for image data analysis, demanding high throughput and reliable image processing. Thereby, signal/image processing techniques can find significant roles. The development of this technique falls in line with the NIH Roadmap and the trend of medical imaging from macroscopic level to molecular/cellular level, in order to diagnose cancers and diseases at earlier stages. Unlike anatomical imaging, molecular imaging displays biochemical and physiological abnormalities underlying disease, rather than the structural consequences of these abnormalities. Local collaborating institutes in the Kansas city area · Children’s Mercy Hospitals and Clinics · Stowers Institute for Medical Research · UMKC School of Dentistry, School of Biological Sciences and School of Medicine · Kansas University Medical Center Collaborators outside KC area · Cai Wei-Wen, and Lisa Shaffer (now at WSU), Dept. of molecular and Human genetics, Baylor College of Medicine Industries Industries · ADIR LLC |