Predicting patient outcome using machine learning technique

Chemical probes are key components of the_x000d_bioimaging toolbox, as they label biomolecules in cells and_x000d_tissues. The new challenge in bioimaging is to design chemical_x000d_probes for three-dimensional (3D) tissue imaging. In this_x000d_work, we discovered that light scattering of metal nanoparticles_x000d_can provide 3D imaging contrast in intact and transparent_x000d_tissues. The nanoparticles can act as a template for the_x000d_chemical growth of a metal layer to further enhance the_x000d_scattering signal. The use of chemically grown nanoparticles in_x000d_whole tissues can amplify the scattering to produce a 1.4_x000d_million-fold greater photon yield than obtained using common_x000d_?uorophores. These probes are non-photobleaching and can_x000d_be used alongside ?uorophores without interference. We_x000d_demonstrated three distinct biomedical applications: (a) molecular imaging of blood vessels, (b) tracking of nanodrug carriers intumors, and (c) mapping of lesions and immune cells in a multiple sclerosis mouse model. Our strategy establishes a distinct yetcomplementary set of imaging probes for understanding disease mechanisms in three dimensions.