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Table representation of search results timeline featuring number of search results per year.

Year Number of Results
1951 1
1959 1
1965 1
1967 1
1968 1
1970 3
1971 1
1972 2
1973 1
1974 2
1975 4
1976 9
1977 16
1978 17
1979 18
1980 17
1981 23
1982 15
1983 19
1984 16
1985 28
1986 19
1987 23
1988 23
1989 41
1990 49
1991 49
1992 48
1993 51
1994 51
1995 61
1996 64
1997 71
1998 95
1999 85
2000 103
2001 131
2002 147
2003 177
2004 229
2005 345
2006 357
2007 389
2008 401
2009 439
2010 478
2011 546
2012 596
2013 647
2014 737
2015 754
2016 690
2017 681
2018 752
2019 895
2020 1034
2021 1188
2022 1155
2023 1109
2024 424

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13,718 results

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Page 1
Data mining in Raman imaging in a cellular biological system.
Liu YJ, Kyne M, Wang C, Yu XY. Liu YJ, et al. Comput Struct Biotechnol J. 2020 Oct 15;18:2920-2930. doi: 10.1016/j.csbj.2020.10.006. eCollection 2020. Comput Struct Biotechnol J. 2020. PMID: 33163152 Free PMC article. Review.
Single-cell visualization, cell classification and biomolecular/drug quantification have all been achieved by the application of data mining to Raman imaging data. Herein we summarize the framework for Raman imaging data analysis, which involves …
Single-cell visualization, cell classification and biomolecular/drug quantification have all been achieved by the application of data …
Using Raman spectroscopy to characterize biological materials.
Butler HJ, Ashton L, Bird B, Cinque G, Curtis K, Dorney J, Esmonde-White K, Fullwood NJ, Gardner B, Martin-Hirsch PL, Walsh MJ, McAinsh MR, Stone N, Martin FL. Butler HJ, et al. Nat Protoc. 2016 Apr;11(4):664-87. doi: 10.1038/nprot.2016.036. Epub 2016 Mar 10. Nat Protoc. 2016. PMID: 26963630 Free article.
Many materials have characteristic Raman spectra, which means that Raman spectroscopy has proven to be an effective analytical approach in geology, semiconductor, materials and polymer science fields. ...We explore a robust approach for sample preparation, instrumen …
Many materials have characteristic Raman spectra, which means that Raman spectroscopy has proven to be an effective analytical …
Deep learning data augmentation for Raman spectroscopy cancer tissue classification.
Wu M, Wang S, Pan S, Terentis AC, Strasswimmer J, Zhu X. Wu M, et al. Sci Rep. 2021 Dec 13;11(1):23842. doi: 10.1038/s41598-021-02687-0. Sci Rep. 2021. PMID: 34903743 Free PMC article.
To overcome these limitations, this paper presents a novel generative adversarial network based skin cancer tissue classification framework. Specifically, we design a data augmentation module that employs a Generative Adversarial Network (GAN) to generate synthetic RS d …
To overcome these limitations, this paper presents a novel generative adversarial network based skin cancer tissue classification framework. …
Chemometrics for Raman Spectroscopy Harmonization.
Barton B, Thomson J, Lozano Diz E, Portela R. Barton B, et al. Appl Spectrosc. 2022 Sep;76(9):1021-1041. doi: 10.1177/00037028221094070. Epub 2022 May 27. Appl Spectrosc. 2022. PMID: 35622984 Review.
For Raman spectroscopy, raw or unprocessed data is rarely ever used. ...Data for Raman harmonization models should be processed in a protocolled manner, and the original data accessible to allow for model reconstruction or transfer when new d …
For Raman spectroscopy, raw or unprocessed data is rarely ever used. ...Data for Raman harmonization models shou …
Distributed Raman Spectrum Data Augmentation System Using Federated Learning with Deep Generative Models.
Kim Y, Lee W. Kim Y, et al. Sensors (Basel). 2022 Dec 16;22(24):9900. doi: 10.3390/s22249900. Sensors (Basel). 2022. PMID: 36560269 Free PMC article.
To overcome the limitations, in this paper, we propose the distributed Raman spectrum data augmentation system that leverages federated learning (FL) with deep generative models, such as generative adversarial network (GAN) and autoencoder. ...The evaluation results …
To overcome the limitations, in this paper, we propose the distributed Raman spectrum data augmentation system that leverages …
Open-sourced Raman spectroscopy data processing package implementing a baseline removal algorithm validated from multiple datasets acquired in human tissue and biofluids.
Sheehy G, Picot F, Dallaire F, Ember K, Nguyen T, Petrecca K, Trudel D, Leblond F. Sheehy G, et al. J Biomed Opt. 2023 Feb;28(2):025002. doi: 10.1117/1.JBO.28.2.025002. Epub 2023 Feb 21. J Biomed Opt. 2023. PMID: 36825245 Free PMC article.
SIGNIFICANCE: Standardized data processing approaches are required in the field of bio-Raman spectroscopy to ensure information associated with spectral data acquired by different research groups, and with different systems, can be compared on an equal footin …
SIGNIFICANCE: Standardized data processing approaches are required in the field of bio-Raman spectroscopy to ensure informatio …
Correlative Brillouin and Raman spectroscopy data acquired on single cells.
Caponi S, Mattana S, Mattarelli M, Alunni Cardinali M, Urbanelli L, Sagini K, Emiliani C, Fioretto D. Caponi S, et al. Data Brief. 2020 Feb 5;29:105223. doi: 10.1016/j.dib.2020.105223. eCollection 2020 Apr. Data Brief. 2020. PMID: 32090158 Free PMC article.
In particular, we use a recently developed micro-spectrometer, which acquires simultaneously Raman and Brillouin spectra on the same point with subcellular resolution [5]. ...Mechanical and chemical evolution is evident by direct inspection of raw data. Sharing our …
In particular, we use a recently developed micro-spectrometer, which acquires simultaneously Raman and Brillouin spectra on the same …
Raman spectroscopy data related to the laser induced reduction of graphene oxide.
Scardaci V, Compagnini G. Scardaci V, et al. Data Brief. 2021 Aug 18;38:107306. doi: 10.1016/j.dib.2021.107306. eCollection 2021 Oct. Data Brief. 2021. PMID: 34466636 Free PMC article.
This data paper reports data obtained from the fitting of Raman spectra obtained during a laser reduction process for graphene oxide under different processing and material conditions. ...Fittings and distributions were obtained using the OriginPro 8.5 softwa …
This data paper reports data obtained from the fitting of Raman spectra obtained during a laser reduction process for g …
Raman mapping of pharmaceuticals.
Gordon KC, McGoverin CM. Gordon KC, et al. Int J Pharm. 2011 Sep 30;417(1-2):151-62. doi: 10.1016/j.ijpharm.2010.12.030. Epub 2010 Dec 29. Int J Pharm. 2011. PMID: 21194560 Review.
Chemometric methods currently used to assess bulk Raman spectroscopic data are typically applied to Raman mapping data from pharmaceuticals; few reports exist where the spatial information inherent to a mapped dataset is used for the calculation of che …
Chemometric methods currently used to assess bulk Raman spectroscopic data are typically applied to Raman mapping da …
Applications of Data Characteristic AI-Assisted Raman Spectroscopy in Pathological Classification.
Chen X, Shen J, Liu C, Shi X, Feng W, Sun H, Zhang W, Zhang S, Jiao Y, Chen J, Hao K, Gao Q, Li Y, Hong W, Wang P, Feng L, Yue S. Chen X, et al. Anal Chem. 2024 Apr 23;96(16):6158-6169. doi: 10.1021/acs.analchem.3c04930. Epub 2024 Apr 11. Anal Chem. 2024. PMID: 38602477
However, it is not clear how to optimize the appropriate AI classification model for different types of Raman spectral data. Here, we selected five representative Raman spectral data sets, including endometrial carcinoma, hepatoma extracellular vesicle …
However, it is not clear how to optimize the appropriate AI classification model for different types of Raman spectral data. H …
13,718 results
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