المؤلفون: Jiawen Ai, Weize Zhao, Quan Yu, Xiang Qian, Jianhua Zhou, Xinming Huo, Fei Tang

مصطلحات موضوعية: Biophysics, Biotechnology, Ecology, Developmental Biology, Infectious Diseases, Cardiology, Chemical Sciences not elsewhere classified, volatile organic compounds, quadrupole ion traps, overlapping ion peaks, high qualitative capability, gained wide attention, deep neural network, provided new tools, normal scan modes, modern chemical analysis, ensuring sufficient sensitivity, appropriate scanning speed, miniature mass spectrometers, proposed method provides, miniature mass spectrometer, mass spectrometer reflects, analysis speed requirement, charge ratio ions, unit mass resolution, scan speed, mass spectrometer, charge ratio, analysis speed, mass sensitivity

Relation: https://figshare.com/articles/journal_contribution/SR-Unet_A_Super-Resolution_Algorithm_for_Ion_Trap_Mass_Spectrometers_Based_on_the_Deep_Neural_Network/24562521

الاتاحة: https://doi.org/10.1021/acs.analchem.3c04172.s001
https://figshare.com/articles/journal_contribution/SR-Unet_A_Super-Resolution_Algorithm_for_Ion_Trap_Mass_Spectrometers_Based_on_the_Deep_Neural_Network/24562521