Predicting patient outcome using machine learning technique

点击翻译按钮获取中文摘要

Chemical probes are key components of thebioimaging toolbox, as they label biomolecules in cells andtissues. The new challenge in bioimaging is to design chemicalprobes for three-dimensional (3D) tissue imaging. In thiswork, we discovered that light scattering of metal nanoparticlescan provide 3D imaging contrast in intact and transparenttissues. The nanoparticles can act as a template for thechemical growth of a metal layer to further enhance thescattering signal. The use of chemically grown nanoparticles inwhole tissues can amplify the scattering to produce a 1.4million-fold greater photon yield than obtained using common?uorophores. These probes are non-photobleaching and canbe used alongside ?uorophores without interference. Wedemonstrated 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.