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基于深度学习的细菌殖民地检测注释数据集.

László Makrai1, Bettina Fodróczy1,2, Sára Ágnes Nagy2

  • 1Department of Microbiology and Infectious Diseases, University of Veterinary Medicine, 1143, Budapest, Hungary.

Scientific data
|July 28, 2023
PubMed
概括

使用人工智能自动计算细菌殖民地,显著加快了微生物学的常见任务. 这项研究为开发人工智能工具来计算细菌殖民地提供了有价值的数据集,有助于兽医重要性和食品卫生方面的研究.

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Rapid Identification of Pathogens01:25

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MALDI-TOF MS has transformed clinical microbiology by offering a rapid and reliable method for pathogen identification. The traditional approach to microbial identification typically involves time-consuming culture techniques and biochemical tests, which can delay the initiation of appropriate antimicrobial therapy. MALDI-TOF MS avoids these delays by using characteristic ribosomal protein mass patterns of microbial cells, enabling accurate species-level identification within minutes.Principle...