Computational Pathology: 3-d Analysis of Chromosome Territories
Although changes in the architecture of the cell nucleus as well as chromatin structure have long been recognized as hallmarks of many cancers the precise architectural transitions that occur during tumorigenesis are essentially unknown. There is a pressing need for new rigorous methods for quantitative measurement of highly detailed microscopy images. The objectives of this proposal are to acquire large amounts of images, to quantitatively measure normal nuclear architecture by combining high-resolution 3D imaging with new image analysis tools and to apply this analysis to probe structural transitions in nuclei during the tumor progression. Realization of these goals will hasten the development of computational pathology approaches that measure structural states of nuclei in patient samples to achieve accurate, early, sensitive cancer diagnoses.