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Weilai Lu

Showing results (1-10 of 11) with videos related to

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Analytical Chemistry|April 14, 2020
Combination of an Artificial Intelligence Approach and Laser Tweezers Raman Spectroscopy for Microbial IdentificationWeilai Lu, Xiuqiang Chen, Lu Wang, et al.
Environmental Research|July 18, 2024
Using machine learning to identify environmental factors that collectively determine microbial community structure of activated sludgeLu Wang, Weilai Lu, Yang Song, et al.
Biomedical Optics Express|January 10, 2022
Blood identification at the single-cell level based on a combination of laser tweezers Raman spectroscopy and machine learningZiqi Wang, Yiming Liu, Weilai Lu, et al.
Applied and Environmental Microbiology|October 29, 2024
Application of Raman spectroscopy and machine learning for <i>Candida auris</i> identification and characterizationJunjing Xue, Huizhen Yue, Weilai Lu, et al.
Analytical Chemistry|August 2, 2021
Analysis of Raman Spectra by Using Deep Learning Methods in the Identification of Marine PathogensShixiang Yu, Xin Li, Weilai Lu, et al.
Frontiers in Microbiology|January 23, 2023
Identification of pathogens and detection of antibiotic susceptibility at single-cell resolution by Raman spectroscopy combined with machine learningWeilai Lu, Haifei Li, Haoning Qiu, et al.
Microbiology Spectrum|March 14, 2023
Antifungal Peptide SP1 Damages Polysaccharide Capsule of Cryptococcus neoformans and Enhances Phagocytosis of MacrophagesYan Liu, Yang Zhang, Xi Zhao, et al.
Analytical Chemistry|June 18, 2023
Dynamically Quantifying Intracellular Elemental Sulfur and Predicting Pertinent Gene Transcription by Raman Spectroscopy in Living CellsWeilai Lu, Lu Wang, Jing Liang, et al.
Environmental Technology & Innovation|June 13, 2022
Inactivation of porcine epidemic diarrhea virus with electron beam irradiation under cold chain conditionsYan Liu, Yang Shao, Lu Wang, et al.
Microorganisms|June 26, 2026
Deep Learning-Enhanced Raman Microspectroscopy Enables Rapid Microbial Classification and Captures Phylogenetic RelationshipsBeimin Liu, Zhenzhou Gu, Xianyang Xu, et al.
Pageof 2

Showing results (1-10 of 11) with videos related to

Sort By:
Pageof 2
Analytical Chemistry|April 14, 2020
Combination of an Artificial Intelligence Approach and Laser Tweezers Raman Spectroscopy for Microbial IdentificationWeilai Lu, Xiuqiang Chen, Lu Wang, et al.
Environmental Research|July 18, 2024
Using machine learning to identify environmental factors that collectively determine microbial community structure of activated sludgeLu Wang, Weilai Lu, Yang Song, et al.
Biomedical Optics Express|January 10, 2022
Blood identification at the single-cell level based on a combination of laser tweezers Raman spectroscopy and machine learningZiqi Wang, Yiming Liu, Weilai Lu, et al.
Applied and Environmental Microbiology|October 29, 2024
Application of Raman spectroscopy and machine learning for <i>Candida auris</i> identification and characterizationJunjing Xue, Huizhen Yue, Weilai Lu, et al.
Analytical Chemistry|August 2, 2021
Analysis of Raman Spectra by Using Deep Learning Methods in the Identification of Marine PathogensShixiang Yu, Xin Li, Weilai Lu, et al.
Frontiers in Microbiology|January 23, 2023
Identification of pathogens and detection of antibiotic susceptibility at single-cell resolution by Raman spectroscopy combined with machine learningWeilai Lu, Haifei Li, Haoning Qiu, et al.
Microbiology Spectrum|March 14, 2023
Antifungal Peptide SP1 Damages Polysaccharide Capsule of Cryptococcus neoformans and Enhances Phagocytosis of MacrophagesYan Liu, Yang Zhang, Xi Zhao, et al.
Analytical Chemistry|June 18, 2023
Dynamically Quantifying Intracellular Elemental Sulfur and Predicting Pertinent Gene Transcription by Raman Spectroscopy in Living CellsWeilai Lu, Lu Wang, Jing Liang, et al.
Environmental Technology & Innovation|June 13, 2022
Inactivation of porcine epidemic diarrhea virus with electron beam irradiation under cold chain conditionsYan Liu, Yang Shao, Lu Wang, et al.
Microorganisms|June 26, 2026
Deep Learning-Enhanced Raman Microspectroscopy Enables Rapid Microbial Classification and Captures Phylogenetic RelationshipsBeimin Liu, Zhenzhou Gu, Xianyang Xu, et al.
Pageof 2