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DATE: February 15, 2022
TIME: 11 AM EST (via Zoom Invitation)
Imaging for Biomarkers of Cancer using Simultaneous Label-free Auto-fluorescence Multi-harmonic (SLAM) Microscopy
Innovations in biomedical imaging have historically led to discoveries in the life sciences and new detection and diagnostic technologies in medicine and surgery. Label-free intravital optical imaging and imaging of fresh, unstained, resected tissue specimens, offers a wealth of new biomarkers for revealing the true colors of cancer and diagnosing disease. Using new optical source technology and nonlinear optics to generate new excitation wavelengths and manipulate the light stimulus in new ways, Simultaneous Label-free Auto-fluorescence Multi-harmonic (SLAM) microscopy can achieve fast simultaneous visualization of the rich intrinsic molecular and metabolic features within tissues. Quantitative machine/deep learning analyses of these multi-dimensional datasets can be used to identify selective biomarkers for cancer. Specifically, tumor-associated extracellular vesicles (EVs) were analyzed via their optical signatures and spatial distributions. Analysis showed that EVs from the tumor microenvironment have unique optical signatures, in comparison to those from healthy subjects. The clinical demonstration of these optical biomedical imaging technologies offers new paradigms for point-of-procedure diagnosis and guidance.
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Organizers: Christian Combs (NHLBI/NIH), Tatiana Karpova (NCI/NIH) and Ulrike Boehm (HHMI, Janelia).
Contact: Tatiana Karpova, email@example.com