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Top-Down Ramanomics Instrumentation Overview: from Quantitative Ramanomics with Deep Convolutional Neural Networks for Intraoperative Point-of-Care Testing Applications to Molecular Optical Laser Examiners. Part I (Bibliographic Review)
Summary
This instrumentation review covered top-down Raman spectroscopy approaches — from quantitative bulk Ramanomics to single-cell techniques — describing advances in hardware and data analysis that enable chemical profiling of complex biological and environmental samples. The review contextualizes the role of Raman methods in microplastic and microbiome research.
This review paper provides a retrospective analysis of ranomics technologies and their methodological predecessors, ranging from modern quantitative ranomics using deep convolutional neural networks (used for intraoperative and point-of-care diagnostics) to the Molecular Optical Laser Examiners (MOLE) of the 1970s.The first part of the review examines the current directions of this trend, while the second part presents the achievements of the earlier period.The first review part pays the special attention to applications of ramanomics for diagnostics of "supramolecular pathologies", mechanisms of apoptosis, parabiosis, oncogenesis, redox pathologies (as well as effects of active oxygen species on cells and tissues), damages of the blood-brain barrier and neurotraumas affecting the cytoarchitectonics of the brain (or, more broadly, the architecture of neuronal connectomes).A number of works are indicated that allow us to speak about Raman analysis for spectral comparative pathological organellography of the cytoplasm.Also information is given on the integrability of ramanomics with methods of massspectrometric mapping of biomedical samples (i.e.RaMALDI), including for MALDI-biotyping tasks for clinical microbiology applications.
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