Rapid identification of pathogenic bacteria using Raman spectroscopy and deep learning
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DOI: 10.1038/s41467-019-12898-9
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- Hao He & Maofeng Cao & Yun Gao & Peng Zheng & Sen Yan & Jin-Hui Zhong & Lei Wang & Dayong Jin & Bin Ren, 2024. "Noise learning of instruments for high-contrast, high-resolution and fast hyperspectral microscopy and nanoscopy," Nature Communications, Nature, vol. 15(1), pages 1-12, December.
- Oleksii Ilchenko & Yurii Pilhun & Andrii Kutsyk & Denys Slobodianiuk & Yaman Goksel & Elodie Dumont & Lukas Vaut & Chiara Mazzoni & Lidia Morelli & Sofus Boisen & Konstantinos Stergiou & Yaroslav Auli, 2024. "Optics miniaturization strategy for demanding Raman spectroscopy applications," Nature Communications, Nature, vol. 15(1), pages 1-14, December.
- Alexandre Girard & Anneli Cooper & Samuel Mabbott & Barbara Bradley & Steven Asiala & Lauren Jamieson & Caroline Clucas & Paul Capewell & Francesco Marchesi & Matthew P Gibbins & Franziska Hentzschel , 2021. "Raman spectroscopic analysis of skin as a diagnostic tool for Human African Trypanosomiasis," PLOS Pathogens, Public Library of Science, vol. 17(11), pages 1-28, November.
- Alberto Signoroni & Alessandro Ferrari & Stefano Lombardi & Mattia Savardi & Stefania Fontana & Karissa Culbreath, 2023. "Hierarchical AI enables global interpretation of culture plates in the era of digital microbiology," Nature Communications, Nature, vol. 14(1), pages 1-11, December.
- Liping Huang & Hongwei Sun & Liangbin Sun & Keqing Shi & Yuzhe Chen & Xueqian Ren & Yuancai Ge & Danfeng Jiang & Xiaohu Liu & Wolfgang Knoll & Qingwen Zhang & Yi Wang, 2023. "Rapid, label-free histopathological diagnosis of liver cancer based on Raman spectroscopy and deep learning," Nature Communications, Nature, vol. 14(1), pages 1-14, December.
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