Abstract: Presented herein is a multichannel imaging system capable of detecting and distinguishing multiple fluorescent light sources simultaneously. Also described herein are methods of using the system to image disease or cellular abnormalities, e.g., for diagnostic and/or intraoperative purposes.

Abstract: Presented herein is a multichannel imaging system capable of detecting and distinguishing multiple fluorescent light sources simultaneously. Also described herein are methods of using the system to image disease or cellular abnormalities, e.g., for diagnostic and/or intraoperative purposes.

Abstract: Described herein are particle-driven radiogenomics systems and methods that can be used to identify imaging features for prediction of intratumoral and interstitial nanoparticle distributions in cancers (e.g., in low grade and/or high-grade brain cancers (e.g., gliomas, e.g., primary gliomas)). In certain embodiments, the systems and methods described herein extract and combine quantitative multi-dimensional data generated from structural, functional, and/or metabolic imaging. In certain embodiments, the combined multidimensional data is linked to intratumoral and interstitial nanoparticle distributions. For example, this linked data can be used to determine quantitative functional-metabolic multimodality particle-based imaging features and to predict treatment efficacy. These techniques provide an improved quantitative ability to measure treatment response and determine tumor progressions compared to traditional size-based imaging methods.

Abstract: Presented herein is a multichannel imaging system capable of detecting and distinguishing multiple fluorescent light sources simultaneously. Also described herein are methods of using the system to image disease or cellular abnormalities, e.g., for diagnostic and/or intraoperative purposes.