Lochlannn Dunn,1 Haokun Luo,2 Nava R. Subedi,1,3 Ramachandran Kasuhttps://orcid.org/0000-0002-6774-5184,1 Armando G. McDonald,1 Demetrios N. Christodoulides,2 Andreas E. Vasdekis1
1Univ. of Idaho (United States) 2Univ. of Southern California (United States) 3Intel Corp. (United States)
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We demonstrate video-rate spontaneous Raman imaging by combining lightsheet microscopy that harnesses non-diffracting Airy beams to efficiently illuminate large specimen regions with image acquisition and reconstruction at the subphoton per pixel levels. We validated these benefits by imaging a wide variety of samples, including organic materials and the metabolic activity of single living yeast cells. Overall, our method not only enables video-rate imaging rates, but also requires 1000-fold less irradiance levels than state-of-the-art coherent Raman microscopy. As such, we expect this approach will greatly accelerate the reliability and reproducibility of Raman imaging in both fundamental research and clinical applications.
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Lochlannn Dunn, Haokun Luo, Nava R. Subedi, Ramachandran Kasu, Armando G. McDonald, Demetrios N. Christodoulides, Andreas E. Vasdekis, "Video-rate spontaneous Raman imaging," Proc. SPIE 12854, Label-free Biomedical Imaging and Sensing (LBIS) 2024, 128540K (12 March 2024); https://doi.org/10.1117/12.3003021