Imaging the Invisible with No Labels: A Major Opportunity in Biology and Medicine

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DESCRIPTION (provided by applicant): Small molecules such as metabolites and drugs are crucial to the biochemistry of living organisms because of their large diversity and the sheer number present. Unlike their large molecule counter parts such proteins, DNA and mRNA, most of these species are invisible in a living cell or organism because of technical difficulties. Tagging them with bulky fluorescent labels perturbs their function. Label-free optical imaging based on Raman scattering is highly desirable because it offers contrast based on the intrinsic chemical properties of molecules via molecular vibrational spectroscopy, but has been limited to low sensitivity and long acquisition times. Our group has recently developed stimulated Raman scattering (SRS) microscopy, which offers an unprecedented combination of high sensitivity, rapid image acquisition, chemical specificity and noninvasiveness. The development of SRS microscopy has generated a great of interest from the biomedical research community and studies of lipid metabolism and drug distributions in tissue are already underway in our laboratory. We propose to continue the pioneering development in order to probe lipid metabolism, including lipogenesis, lipolysis and insulin resistance. We will image not only different types of lipids, such as saturated and unsaturated lipids and cholesterol, but also key metabolites, such as glucose, ATP, ADP, and small molecule drugs as well, all in living cells and tissue without the use of perturbative labels. These new experiments will no doubt allow new observations that will enrich our knowledge of cellular biochemistry. We will also develop all-optical cancer markers and use SRS to bring about a new paradigm for intra-operative imaging of brain tumors, improving the surgical outcome by shortening surgery and allowing more precise definition of tumor margins. The widespread adoption of SRS and the discovery of new applications will revolutionize many areas of biomedical research, including lipid metabolism, pharmacokinetics and cancer diagnosis.