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We present label-free morpho-chemical cancer cell phenotyping by combining confocal Raman micro-spectroscopy and three-dimensional holotomography. Observing colon cancer cell types with different progression stages from adenoma to metastasis, we demonstrate the advantage of a multimodal approach for rapid and accurate cancer cell phenotyping. We introduce data processing pipelines to decode and comprehensively interpret molecular and structural information from hyperspectral Raman images and co-registered refractive index tomograms. Finally, we investigate and discuss any unique or shared information that combined Raman spectroscopy and holotomography can provide when characterizing the same sample, and how this synergy advances cell type differentiation.
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Arianna Bresci, Renzo Vanna, Giulio Cerullo, Peter T. C. So, Dario Polli, Jeon Woong Kang, "Combining Raman spectroscopy and holo-tomography to advance phenotyping of human cancer cells," Proc. SPIE PC12834, Multimodal Biomedical Imaging XIX, PC128340G (13 March 2024); https://doi.org/10.1117/12.3001665