166 related articles for article (PubMed ID: 38663070)
1. RamanCluster: A deep clustering-based framework for unsupervised Raman spectral identification of pathogenic bacteria.
Sun Z; Wang Z; Jiang M
Talanta; 2024 Aug; 275():126076. PubMed ID: 38663070
[TBL] [Abstract][Full Text] [Related]
2. Identification of Bacterial Pathogens at Genus and Species Levels through Combination of Raman Spectrometry and Deep-Learning Algorithms.
Wang L; Tang JW; Li F; Usman M; Wu CY; Liu QH; Kang HQ; Liu W; Gu B
Microbiol Spectr; 2022 Dec; 10(6):e0258022. PubMed ID: 36314973
[TBL] [Abstract][Full Text] [Related]
3. Scale-Adaptive Deep Model for Bacterial Raman Spectra Identification.
Deng L; Zhong Y; Wang M; Zheng X; Zhang J
IEEE J Biomed Health Inform; 2022 Jan; 26(1):369-378. PubMed ID: 34543211
[TBL] [Abstract][Full Text] [Related]
4. Rapid and accurate identification of pathogenic bacteria at the single-cell level using laser tweezers Raman spectroscopy and deep learning.
Zhou B; Sun L; Fang T; Li H; Zhang R; Ye A
J Biophotonics; 2022 Jul; 15(7):e202100312. PubMed ID: 35150463
[TBL] [Abstract][Full Text] [Related]
5. Unsupervised convolutional variational autoencoder deep embedding clustering for Raman spectra.
Guo Y; Jin W; Wang W; Guo Z; He Y
Anal Methods; 2022 Oct; 14(39):3898-3910. PubMed ID: 36169059
[TBL] [Abstract][Full Text] [Related]
6. Comparative Analysis of Machine Learning Algorithms on Surface Enhanced Raman Spectra of Clinical
Tang JW; Liu QH; Yin XC; Pan YC; Wen PB; Liu X; Kang XX; Gu B; Zhu ZB; Wang L
Front Microbiol; 2021; 12():696921. PubMed ID: 34531835
[TBL] [Abstract][Full Text] [Related]
7. Culture-Independent Raman Spectroscopic Identification of Bacterial Pathogens from Clinical Samples Using Deep Transfer Learning.
Singh S; Kumbhar D; Reghu D; Venugopal SJ; Rekha PT; Mohandas S; Rao S; Rangaiah A; Chunchanur SK; Saini DK; Umapathy S
Anal Chem; 2022 Oct; 94(42):14745-14754. PubMed ID: 36214808
[TBL] [Abstract][Full Text] [Related]
8. Raman spectroscopy-based adversarial network combined with SVM for detection of foodborne pathogenic bacteria.
Du Y; Han D; Liu S; Sun X; Ning B; Han T; Wang J; Gao Z
Talanta; 2022 Jan; 237():122901. PubMed ID: 34736716
[TBL] [Abstract][Full Text] [Related]
9. Automatic classification of Candida species using Raman spectroscopy and machine learning.
Fernández-Manteca MG; Ocampo-Sosa AA; Ruiz de Alegría-Puig C; Pía Roiz M; Rodríguez-Grande J; Madrazo F; Calvo J; Rodríguez-Cobo L; López-Higuera JM; Fariñas MC; Cobo A
Spectrochim Acta A Mol Biomol Spectrosc; 2023 Apr; 290():122270. PubMed ID: 36580749
[TBL] [Abstract][Full Text] [Related]
10. Siamese Networks for Clinically Relevant Bacteria Classification Based on Raman Spectroscopy.
Contreras J; Mostafapour S; Popp J; Bocklitz T
Molecules; 2024 Feb; 29(5):. PubMed ID: 38474573
[TBL] [Abstract][Full Text] [Related]
11. Classification of pathogenic bacteria by Raman spectroscopy combined with variational auto-encoder and deep learning.
Liu B; Liu K; Sun J; Shang L; Yang Q; Chen X; Li B
J Biophotonics; 2023 Apr; 16(4):e202200270. PubMed ID: 36519533
[TBL] [Abstract][Full Text] [Related]
12.
Wang K; Chen L; Ma X; Ma L; Chou KC; Cao Y; Khan IUH; Gölz G; Lu X
Appl Environ Microbiol; 2020 Oct; 86(20):. PubMed ID: 32801186
[TBL] [Abstract][Full Text] [Related]
13. Rapid identification of pathogenic bacteria using Raman spectroscopy and deep learning.
Ho CS; Jean N; Hogan CA; Blackmon L; Jeffrey SS; Holodniy M; Banaei N; Saleh AAE; Ermon S; Dionne J
Nat Commun; 2019 Oct; 10(1):4927. PubMed ID: 31666527
[TBL] [Abstract][Full Text] [Related]
14. Deep metric learning framework combined with Gramian angular difference field image generation for Raman spectra classification based on a handheld Raman spectrometer.
Cai Y; Yao Z; Cheng X; He Y; Li S; Pan J
Spectrochim Acta A Mol Biomol Spectrosc; 2023 Dec; 303():123085. PubMed ID: 37454497
[TBL] [Abstract][Full Text] [Related]
15. Combination of an Artificial Intelligence Approach and Laser Tweezers Raman Spectroscopy for Microbial Identification.
Lu W; Chen X; Wang L; Li H; Fu YV
Anal Chem; 2020 May; 92(9):6288-6296. PubMed ID: 32281780
[TBL] [Abstract][Full Text] [Related]
16. Spectral cross-correlation as a supervised approach for the analysis of complex Raman datasets: the case of nanoparticles in biological cells.
Keating ME; Bonnier F; Byrne HJ
Analyst; 2012 Dec; 137(24):5792-802. PubMed ID: 23114273
[TBL] [Abstract][Full Text] [Related]
17. Rapid identification of salmonella serovars by using Raman spectroscopy and machine learning algorithm.
Sun J; Xu X; Feng S; Zhang H; Xu L; Jiang H; Sun B; Meng Y; Chen W
Talanta; 2023 Feb; 253():123807. PubMed ID: 36115103
[TBL] [Abstract][Full Text] [Related]
18. High-Speed Diagnosis of Bacterial Pathogens at the Single Cell Level by Raman Microspectroscopy with Machine Learning Filters and Denoising Autoencoders.
Xu J; Yi X; Jin G; Peng D; Fan G; Xu X; Chen X; Yin H; Cooper JM; Huang WE
ACS Chem Biol; 2022 Feb; 17(2):376-385. PubMed ID: 35026119
[TBL] [Abstract][Full Text] [Related]
19. Specific discrimination of pathogenic bacteria causing septic arthritis using Raman spectroscopy: In-vitro study.
Ghaithi AKA; Al Maskari SM; Al Mutani MM; Bimani AMA; Al Jabri Z; Badi KSA; Husband J
Diagn Microbiol Infect Dis; 2024 Jul; 109(3):116339. PubMed ID: 38735148
[TBL] [Abstract][Full Text] [Related]
20. Rapid identification of the resistance of urinary tract pathogenic bacteria using deep learning-based spectroscopic analysis.
Fu Q; Zhang Y; Wang P; Pi J; Qiu X; Guo Z; Huang Y; Zhao Y; Li S; Xu J
Anal Bioanal Chem; 2021 Dec; 413(30):7401-7410. PubMed ID: 34673992
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]