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For: Zhou Y, Liu CH, Sun Y, Pu Y, Boydston-White S, Liu Y, Alfano RR. Human brain cancer studied by resonance Raman spectroscopy. J Biomed Opt 2012;17:116021. [PMID: 23154776 DOI: 10.1117/1.JBO.17.11.116021] [Cited by in Crossref: 95] [Cited by in F6Publishing: 23] [Article Influence: 10.6] [Reference Citation Analysis]
Number Citing Articles
1 Santos EC, Martinho HS, Annes K, Leite RF, Milazzotto MP. Rapid and noninvasive technique to assess the metabolomics profile of bovine embryos produced in vitro by Raman spectroscopy. Biomed Opt Express 2015;6:2830-9. [PMID: 26309747 DOI: 10.1364/BOE.6.002830] [Cited by in Crossref: 9] [Cited by in F6Publishing: 2] [Article Influence: 1.3] [Reference Citation Analysis]
2 Kaur E, Sahu A, Hole AR, Rajendra J, Chaubal R, Gardi N, Dutt A, Moiyadi A, Krishna CM, Dutt S. Unique spectral markers discern recurrent Glioblastoma cells from heterogeneous parent population. Sci Rep 2016;6:26538. [PMID: 27221528 DOI: 10.1038/srep26538] [Cited by in Crossref: 16] [Cited by in F6Publishing: 13] [Article Influence: 2.7] [Reference Citation Analysis]
3 Luther E, Matus A, Eichberg DG, Shah AH, Ivan M. Stimulated Raman Histology for Intraoperative Guidance in the Resection of a Recurrent Atypical Spheno-orbital Meningioma: A Case Report and Review of Literature. Cureus 2019;11:e5905. [PMID: 31777692 DOI: 10.7759/cureus.5905] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
4 Zhang J, Fan Y, He M, Ma X, Song Y, Liu M, Xu J. Accuracy of Raman spectroscopy in differentiating brain tumor from normal brain tissue. Oncotarget. 2017;8:36824-36831. [PMID: 28415660 DOI: 10.18632/oncotarget.15975] [Cited by in Crossref: 21] [Cited by in F6Publishing: 19] [Article Influence: 5.3] [Reference Citation Analysis]
5 Meng C, Li H, Chen C, Wu W, Gao J, Lai Y, Ka M, Zhu M, Lv X, Chen F, Chen C. Serum Raman spectroscopy combined with Gaussian—convolutional neural network models to quickly detect liver cancer patients. Spectroscopy Letters. [DOI: 10.1080/00387010.2022.2027988] [Reference Citation Analysis]
6 Chen Y, Dai J, Zhou X, Liu Y, Zhang W, Peng G. Raman spectroscopy analysis of the biochemical characteristics of molecules associated with the malignant transformation of gastric mucosa. PLoS One 2014;9:e93906. [PMID: 24710050 DOI: 10.1371/journal.pone.0093906] [Cited by in Crossref: 29] [Cited by in F6Publishing: 24] [Article Influence: 3.6] [Reference Citation Analysis]
7 Dehghani-bidgoli Z, Baygi MHM, Kabir E, Malekfar R. A Comparative Study between Carcinoma and Sarcoma Using Raman Spectroscopy. J Appl Spectrosc 2014;80:893-8. [DOI: 10.1007/s10812-014-9861-5] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.1] [Reference Citation Analysis]
8 Hollon T, Lewis S, Freudiger CW, Sunney Xie X, Orringer DA. Improving the accuracy of brain tumor surgery via Raman-based technology. Neurosurg Focus 2016;40:E9. [PMID: 26926067 DOI: 10.3171/2015.12.FOCUS15557] [Cited by in Crossref: 47] [Cited by in F6Publishing: 24] [Article Influence: 7.8] [Reference Citation Analysis]
9 Zhou Y, Liu CH, Wu B, Yu X, Cheng G, Zhu K, Wang K, Zhang C, Zhao M, Zong R, Zhang L, Shi L, Alfano RR. Optical biopsy identification and grading of gliomas using label-free visible resonance Raman spectroscopy. J Biomed Opt 2019;24:1-12. [PMID: 31512439 DOI: 10.1117/1.JBO.24.9.095001] [Cited by in Crossref: 10] [Cited by in F6Publishing: 4] [Article Influence: 5.0] [Reference Citation Analysis]
10 Liu CH, Boydston-White S, Weisberg A, Wang W, Sordillo LA, Perotte A, Tomaselli VP, Sordillo PP, Pei Z, Shi L, Alfano RR. Vulnerable atherosclerotic plaque detection by resonance Raman spectroscopy. J Biomed Opt 2016;21:127006. [PMID: 27999865 DOI: 10.1117/1.JBO.21.12.127006] [Cited by in Crossref: 23] [Cited by in F6Publishing: 4] [Article Influence: 5.8] [Reference Citation Analysis]
11 DePaoli D, Lemoine É, Ember K, Parent M, Prud'homme M, Cantin L, Petrecca K, Leblond F, Côté DC. Rise of Raman spectroscopy in neurosurgery: a review. J Biomed Opt 2020;25:1-36. [PMID: 32358930 DOI: 10.1117/1.JBO.25.5.050901] [Cited by in Crossref: 6] [Cited by in F6Publishing: 3] [Article Influence: 3.0] [Reference Citation Analysis]
12 Zhou Y, Liu C, Wu B, Zhang C, Yu X, Cheng G, Chen H, Li S, Liang Q, Zhang M, Zhu K, Shi L, Alfano RR. Invited Article: Molecular biomarkers characterization for human brain glioma grading using visible resonance Raman spectroscopy. APL Photonics 2018;3:120802. [DOI: 10.1063/1.5036637] [Cited by in Crossref: 11] [Cited by in F6Publishing: 1] [Article Influence: 2.8] [Reference Citation Analysis]
13 Lilo T, Morais CL, Shenton C, Ray A, Gurusinghe N. Revising Fourier-transform infrared (FT-IR) and Raman spectroscopy towards brain cancer detection. Photodiagnosis and Photodynamic Therapy 2022. [DOI: 10.1016/j.pdpdt.2022.102785] [Reference Citation Analysis]
14 Barkur S, Bankapur A, Pradhan M, Chidangil S, Mathur D, Ladiwala U. Probing differentiation in cancer cell lines by single-cell micro-Raman spectroscopy. J Biomed Opt 2015;20:85001. [PMID: 26244913 DOI: 10.1117/1.JBO.20.8.085001] [Cited by in Crossref: 17] [Cited by in F6Publishing: 6] [Article Influence: 2.8] [Reference Citation Analysis]
15 Anna I, Bartosz P, Lech P, Halina A. Novel strategies of Raman imaging for brain tumor research. Oncotarget 2017;8:85290-310. [PMID: 29156720 DOI: 10.18632/oncotarget.19668] [Cited by in Crossref: 35] [Cited by in F6Publishing: 26] [Article Influence: 7.0] [Reference Citation Analysis]
16 Tsuyama S, Taketani A, Murakami T, Sakashita M, Miyajima S, Ogawa T, Wada S, Maeda H, Hanada Y. Quantitative prediction of a functional ingredient in apple using Raman spectroscopy and multivariate calibration analysis. Appl Phys B 2021;127. [DOI: 10.1007/s00340-021-07639-0] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
17 Kuzmin AN, Pliss A, Lim CK, Heo J, Kim S, Rzhevskii A, Gu B, Yong KT, Wen S, Prasad PN. Resonance Raman Probes for Organelle-Specific Labeling in Live Cells. Sci Rep 2016;6:28483. [PMID: 27339882 DOI: 10.1038/srep28483] [Cited by in Crossref: 20] [Cited by in F6Publishing: 19] [Article Influence: 3.3] [Reference Citation Analysis]
18 Bendau E, Smith J, Zhang L, Ackerstaff E, Kruchevsky N, Wu B, Koutcher JA, Alfano R, Shi L. Distinguishing metastatic triple-negative breast cancer from nonmetastatic breast cancer using second harmonic generation imaging and resonance Raman spectroscopy. J Biophotonics 2020;13:e202000005. [PMID: 32219996 DOI: 10.1002/jbio.202000005] [Cited by in Crossref: 7] [Cited by in F6Publishing: 5] [Article Influence: 3.5] [Reference Citation Analysis]
19 Valdés PA, Roberts DW, Lu FK, Golby A. Optical technologies for intraoperative neurosurgical guidance. Neurosurg Focus 2016;40:E8. [PMID: 26926066 DOI: 10.3171/2015.12.FOCUS15550] [Cited by in Crossref: 62] [Cited by in F6Publishing: 32] [Article Influence: 10.3] [Reference Citation Analysis]
20 Feng X, Muzikansky A, Ross AH, Hamblin MR, Jermain PR, Yaroslavsky AN. Multimodal quantitative imaging of brain cancer in cultured cells. Biomed Opt Express 2019;10:4237-48. [PMID: 31453007 DOI: 10.1364/BOE.10.004237] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 0.7] [Reference Citation Analysis]
21 Wu M, Pu K, Jiang T, Zhai Q, Ma Z, Ma H, Xu F, Zhang Z, Wang Q. Early label-free analysis of mitochondrial redox states by Raman spectroscopy predicts septic outcomes. J Adv Res 2021;28:209-19. [PMID: 33364057 DOI: 10.1016/j.jare.2020.06.027] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
22 Lakomkin N, Hadjipanayis CG. The Use of Spectroscopy Handheld Tools in Brain Tumor Surgery: Current Evidence and Techniques. Front Surg 2019;6:30. [PMID: 31192217 DOI: 10.3389/fsurg.2019.00030] [Cited by in Crossref: 10] [Cited by in F6Publishing: 8] [Article Influence: 3.3] [Reference Citation Analysis]
23 Doran CE, Frank CB, Mcgrath S, Packer RA. Use of Handheld Raman Spectroscopy for Intraoperative Differentiation of Normal Brain Tissue From Intracranial Neoplasms in Dogs. Front Vet Sci 2022;8:819200. [DOI: 10.3389/fvets.2021.819200] [Reference Citation Analysis]
24 Pence I, Mahadevan-Jansen A. Clinical instrumentation and applications of Raman spectroscopy. Chem Soc Rev 2016;45:1958-79. [PMID: 26999370 DOI: 10.1039/c5cs00581g] [Cited by in Crossref: 157] [Cited by in F6Publishing: 46] [Article Influence: 26.2] [Reference Citation Analysis]
25 Jaafar A, Holomb R, Sdobnov AY, Ocskay Z, Jakus Z, Tuchin VV, Veres M. Ex vivo confocal Raman microspectroscopy of porcine dura mater supported by optical clearing. J Biophotonics 2021;:e202100332. [PMID: 34951739 DOI: 10.1002/jbio.202100332] [Reference Citation Analysis]
26 Riva M, Sciortino T, Secoli R, D'Amico E, Moccia S, Fernandes B, Conti Nibali M, Gay L, Rossi M, De Momi E, Bello L. Glioma biopsies Classification Using Raman Spectroscopy and Machine Learning Models on Fresh Tissue Samples. Cancers (Basel) 2021;13:1073. [PMID: 33802369 DOI: 10.3390/cancers13051073] [Cited by in Crossref: 4] [Cited by in F6Publishing: 3] [Article Influence: 4.0] [Reference Citation Analysis]
27 Li Z, Li Z, Chen Q, Ramos A, Zhang J, Boudreaux JP, Thiagarajan R, Bren-Mattison Y, Dunham ME, McWhorter AJ, Li X, Feng JM, Li Y, Yao S, Xu J. Detection of pancreatic cancer by convolutional-neural-network-assisted spontaneous Raman spectroscopy with critical feature visualization. Neural Netw 2021;144:455-64. [PMID: 34583101 DOI: 10.1016/j.neunet.2021.09.006] [Reference Citation Analysis]
28 Xue J, Pu Y, Smith J, Gao X, Wang C, Wu B. Identifying metastatic ability of prostate cancer cell lines using native fluorescence spectroscopy and machine learning methods. Sci Rep 2021;11:2282. [PMID: 33500529 DOI: 10.1038/s41598-021-81945-7] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
29 Jelke F, Mirizzi G, Borgmann FK, Husch A, Slimani R, Klamminger GG, Klein K, Mombaerts L, Gérardy JJ, Mittelbronn M, Hertel F. Intraoperative discrimination of native meningioma and dura mater by Raman spectroscopy. Sci Rep 2021;11:23583. [PMID: 34880346 DOI: 10.1038/s41598-021-02977-7] [Reference Citation Analysis]
30 Bovenkamp D, Micko A, Püls J, Placzek F, Höftberger R, Vila G, Leitgeb R, Drexler W, Andreana M, Wolfsberger S, Unterhuber A. Line Scan Raman Microspectroscopy for Label-Free Diagnosis of Human Pituitary Biopsies. Molecules 2019;24:E3577. [PMID: 31590270 DOI: 10.3390/molecules24193577] [Cited by in Crossref: 3] [Cited by in F6Publishing: 4] [Article Influence: 1.0] [Reference Citation Analysis]
31 Kalkanis SN, Kast RE, Rosenblum ML, Mikkelsen T, Yurgelevic SM, Nelson KM, Raghunathan A, Poisson LM, Auner GW. Raman spectroscopy to distinguish grey matter, necrosis, and glioblastoma multiforme in frozen tissue sections. J Neurooncol 2014;116:477-85. [PMID: 24390405 DOI: 10.1007/s11060-013-1326-9] [Cited by in Crossref: 74] [Cited by in F6Publishing: 56] [Article Influence: 9.3] [Reference Citation Analysis]