The latest news, publications, awards, and happenings from the Bhargava Group.
In this study, we examine the role of spatial-spectral tradeoffs in infrared spectroscopic imaging configurations for probing tumors and the associated microenvironment profiles at different levels of model complexity.
Read ArticleThe objective of this study is to develop a novel, rapid, label-free approach to accurately measure and quantify the extent of fibrosis in cardiac tissue using infrared spectroscopic imaging. We performed infrared spectroscopic imaging and combined that with advanced machine learning-based algorithms to assess fibrosis in samples from patients.
Read ArticleHere we describe the evolution of IR microscopes, provide rationales for design choices, and the major considerations for each optical component that together comprise an imaging system.
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