213 related articles for article (PubMed ID: 32985871)
1. Machine Learning-Assisted Raman Spectroscopy for pH and Lactate Sensing in Body Fluids.
Olaetxea I; Valero A; Lopez E; Lafuente H; Izeta A; Jaunarena I; Seifert A
Anal Chem; 2020 Oct; 92(20):13888-13895. PubMed ID: 32985871
[TBL] [Abstract][Full Text] [Related]
2. Comparison of multivariate calibration models for glucose, urea, and lactate from near-infrared and Raman spectra.
Ren M; Arnold MA
Anal Bioanal Chem; 2007 Feb; 387(3):879-88. PubMed ID: 17200856
[TBL] [Abstract][Full Text] [Related]
3. Dual-modal cancer detection based on optical pH sensing and Raman spectroscopy.
Kim S; Lee SH; Min SY; Byun KM; Lee SY
J Biomed Opt; 2017 Oct; 22(10):1-6. PubMed ID: 29027408
[TBL] [Abstract][Full Text] [Related]
4. Raman spectroscopy as a method to replace off-line pH during mammalian cell culture processes.
Rafferty C; O'Mahony J; Burgoyne B; Rea R; Balss KM; Latshaw DC
Biotechnol Bioeng; 2020 Jan; 117(1):146-156. PubMed ID: 31631327
[TBL] [Abstract][Full Text] [Related]
5. Determination of physiological lactate and pH by Raman spectroscopy.
Olaetxea I; Lopez E; Valero A; Seifert A
Annu Int Conf IEEE Eng Med Biol Soc; 2019 Jul; 2019():475-481. PubMed ID: 31945941
[TBL] [Abstract][Full Text] [Related]
6. A hybrid least squares and principal component analysis algorithm for Raman spectroscopy.
Van de Sompel D; Garai E; Zavaleta C; Gambhir SS
PLoS One; 2012; 7(6):e38850. PubMed ID: 22723895
[TBL] [Abstract][Full Text] [Related]
7. Raman spectroscopy and machine learning for the classification of breast cancers.
Zhang L; Li C; Peng D; Yi X; He S; Liu F; Zheng X; Huang WE; Zhao L; Huang X
Spectrochim Acta A Mol Biomol Spectrosc; 2022 Jan; 264():120300. PubMed ID: 34455388
[TBL] [Abstract][Full Text] [Related]
8. Raman spectroscopy combined with multiple algorithms for analysis and rapid screening of chronic renal failure.
Chen C; Yang L; Li H; Chen F; Chen C; Gao R; Lv XY; Tang J
Photodiagnosis Photodyn Ther; 2020 Jun; 30():101792. PubMed ID: 32353420
[TBL] [Abstract][Full Text] [Related]
9. A hybrid least squares and principal component analysis algorithm for Raman spectroscopy.
Van de Sompel D; Garai E; Zavaleta C; Gambhir SS
Annu Int Conf IEEE Eng Med Biol Soc; 2011; 2011():6971-4. PubMed ID: 22255942
[TBL] [Abstract][Full Text] [Related]
10. Analysis of tuberculosis disease through Raman spectroscopy and machine learning.
Khan S; Ullah R; Shahzad S; Anbreen N; Bilal M; Khan A
Photodiagnosis Photodyn Ther; 2018 Dec; 24():286-291. PubMed ID: 30359757
[TBL] [Abstract][Full Text] [Related]
11. Cost effective and efficient screening of tuberculosis disease with Raman spectroscopy and machine learning algorithms.
Ullah R; Khan S; Chaudhary II; Shahzad S; Ali H; Bilal M
Photodiagnosis Photodyn Ther; 2020 Dec; 32():101963. PubMed ID: 33321570
[TBL] [Abstract][Full Text] [Related]
12. Visible Particle Identification Using Raman Spectroscopy and Machine Learning.
Sheng H; Zhao Y; Long X; Chen L; Li B; Fei Y; Mi L; Ma J
AAPS PharmSciTech; 2022 Jul; 23(6):186. PubMed ID: 35790644
[TBL] [Abstract][Full Text] [Related]
13. Discrimination of non-melanoma skin lesions from non-tumor human skin tissues in vivo using Raman spectroscopy and multivariate statistics.
Silveira FL; Pacheco MT; Bodanese B; Pasqualucci CA; Zângaro RA; Silveira L
Lasers Surg Med; 2015 Jan; 47(1):6-16. PubMed ID: 25583686
[TBL] [Abstract][Full Text] [Related]
14. Comparison of multivariate data analysis techniques to improve glucose concentration prediction in mammalian cell cultivations by Raman spectroscopy.
Kozma B; Salgó A; Gergely S
J Pharm Biomed Anal; 2018 Sep; 158():269-279. PubMed ID: 29894949
[TBL] [Abstract][Full Text] [Related]
15. Early-stage diagnosis of bladder cancer using surface-enhanced Raman spectroscopy combined with machine learning algorithms in a rat model.
Lee S; Jue M; Lee K; Paulson B; Oh J; Cho M; Kim JK
Biosens Bioelectron; 2024 Feb; 246():115915. PubMed ID: 38081101
[TBL] [Abstract][Full Text] [Related]
16. Closed loop control of lactate concentration in mammalian cell culture by Raman spectroscopy leads to improved cell density, viability, and biopharmaceutical protein production.
Matthews TE; Berry BN; Smelko J; Moretto J; Moore B; Wiltberger K
Biotechnol Bioeng; 2016 Nov; 113(11):2416-24. PubMed ID: 27215441
[TBL] [Abstract][Full Text] [Related]
17. In-line solid state prediction during pharmaceutical hot-melt extrusion in a 12 mm twin screw extruder using Raman spectroscopy.
Saerens L; Ghanam D; Raemdonck C; Francois K; Manz J; Krüger R; Krüger S; Vervaet C; Remon JP; De Beer T
Eur J Pharm Biopharm; 2014 Aug; 87(3):606-15. PubMed ID: 24657540
[TBL] [Abstract][Full Text] [Related]
18. Analysis and comparison of machine learning methods for blood identification using single-cell laser tweezer Raman spectroscopy.
Liu Y; Wang Z; Zhou Z; Xiong T
Spectrochim Acta A Mol Biomol Spectrosc; 2022 Sep; 277():121274. PubMed ID: 35500354
[TBL] [Abstract][Full Text] [Related]
19. Lactate and sequential lactate-glucose sensing using surface-enhanced Raman spectroscopy.
Shah NC; Lyandres O; Walsh JT; Glucksberg MR; Van Duyne RP
Anal Chem; 2007 Sep; 79(18):6927-32. PubMed ID: 17688322
[TBL] [Abstract][Full Text] [Related]
20. Detection of prostate cancer by Raman spectroscopy: A multivariate study on patients with normal and altered PSA values.
Correia NA; Batista LTA; Nascimento RJM; Cangussú MCT; Crugeira PJL; Soares LGP; Silveira L; Pinheiro ALB
J Photochem Photobiol B; 2020 Mar; 204():111801. PubMed ID: 31978674
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
