Abstract
Chemical imaging of living cells is critically important for understanding the function and pathophysiology of biological systems such as the brain. The main obstacles are the limited amount of analyte in a single cell and the need for noninvasive in situ analysis in order to preserve cell function and microenvironmental information. We apply label-free chemical imaging methods to quantify the spatiotemporal distribution of important biomolecules at subcellular resolution. In combination with deep learning algorithms, we aim to build an integrated chemical imaging platform to study a wide range of normal and diseases processes in the brain.
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