Results 31 to 40 of about 1,928,738 (354)
Frontiers in Veterinary Science, 2022 The aim of this study was to assess feasibility and accuracy of a hand-held, intraoperative Raman spectroscopy device as a neuronavigation aid to accurately detect neoplastic tissue from adjacent normal gray and white matter.
Caitlin E. Doran +3 more
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Journal of Raman Spectroscopy, 2019 Anatomical and chemical information can be linked by Raman imaging. Behind every pixel of the image is a Raman spectrum, which contains all the information as a molecular fingerprint.
Peter Bock, N. Gierlinger
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Raman Imaging of Plant Cell Walls in Sections of Cucumis sativus
Plants, 2018 Raman microspectra combine information on chemical composition of plant tissues with spatial information. The contributions from the building blocks of the cell walls in the Raman spectra of plant tissues can vary in the microscopic sub-structures of the
Ingrid Zeise +5 more
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Scientific Reports, 2022 As a rapid, label-free, non-destructive analytical measurement requiring little to no sample preparation, Raman spectroscopy shows great promise for liquid biopsy cancer detection and diagnosis.
Hanna J. Koster +5 more
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The spectroscopic detection of exogenous material in fingerprints after development with powders and recovery with adhesive lifters [PDF]
, 2008 The application of powders to fingerprints has long been established as an effective and reliable method for developing latent fingerprints. The powders adhere to the ridge pattern of the fingerprint only, thus allowing the image to be visualised ...
West, M.J., Went, Michael J.
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Yankuang ceshi, 2015 Raman Spectroscopy is an important means of non-destructive fluid inclusions analysis. Composition of fluid inclusions in quartz from the Shaanxi formation of the Dingbian area in the Ordos Basin was determined by the Raman technique.
LI Yan-xia, YAN Xin-yi, TIAN Yu-feng
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Journal of Raman Spectroscopy, 2019 Since early 2000s, machine learning algorithms have been widely used in many research and industrial fields, most prominently in computer vison. Lately, many fields of study have tried to use these automated methods, and there are several reports from ...
Wooje Lee +3 more
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Raman Spectroscopic Study of Five Typical Plasticizers Based on DFT and HF Theoretical Calculation
Foods, 2023 Phthalic acid esters (PAEs) are the most commonly used plasticizers, and long-term or high levels of exposure to PAEs have a huge potential risk to human health.
Tong Sun +3 more
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Rapid identification of pathogenic bacteria using Raman spectroscopy and deep learning
Nature Communications, 2019 The use of Raman spectroscopy for pathogen identification is hampered by the weak Raman signal and phenotypic diversity of bacterial cells. Here the authors generate an extensive dataset of bacterial Raman spectra and apply deep learning to identify ...
Chi-Sing Ho +9 more
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Application of the Dynamical Network Biomarker Theory to Raman Spectra
Biomolecules, 2022 The dynamical network biomarker (DNB) theory detects the early warning signals of state transitions utilizing fluctuations in and correlations between variables in complex systems.
Takayuki Haruki +13 more
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