4.4.23-Health-Tadesse

Conference Video|Duration: 32:13
April 4, 2023
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  • Video details
    Label-free live-cell monitoring is ideal for research and clinical applications; however, it presents unique challenges. In this talk, I will discuss how Raman spectroscopy can enable such a platform using bacteria identification as a case study. Current infection diagnostic methods are slow and costly, due to the long bacterial culturing steps. We demonstrate that Raman spectroscopy enables rapid culture-free, sensitive, and specific bacterial identification and antibiotic susceptibility testing. To this end, I will present three major milestones that bring Raman closer to clinical application by using machine learning and nanophotonics. First, we achieve high (>99%) species level classification accuracies across 30 major disease-causing bacterial species. Second, we showcase the first of its kind demonstration of a versatile and antibiotic co-incubation free susceptibility testing. Third, we develop a simple liquid well setup for clinical sample handling with uniform Raman spectral enhancement using gold nanorods. I will conclude with remarks on enabling widespread clinical translation of Raman spectroscopy and its vast potential for label-free live-cell studies with implications for both diagnostics and therapeutics.
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  • Video details
    Label-free live-cell monitoring is ideal for research and clinical applications; however, it presents unique challenges. In this talk, I will discuss how Raman spectroscopy can enable such a platform using bacteria identification as a case study. Current infection diagnostic methods are slow and costly, due to the long bacterial culturing steps. We demonstrate that Raman spectroscopy enables rapid culture-free, sensitive, and specific bacterial identification and antibiotic susceptibility testing. To this end, I will present three major milestones that bring Raman closer to clinical application by using machine learning and nanophotonics. First, we achieve high (>99%) species level classification accuracies across 30 major disease-causing bacterial species. Second, we showcase the first of its kind demonstration of a versatile and antibiotic co-incubation free susceptibility testing. Third, we develop a simple liquid well setup for clinical sample handling with uniform Raman spectral enhancement using gold nanorods. I will conclude with remarks on enabling widespread clinical translation of Raman spectroscopy and its vast potential for label-free live-cell studies with implications for both diagnostics and therapeutics.
Locked Interactive transcript

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