five

Microscopy data, analysis code, and segmentation models for Phenotypic drug susceptibility testing for Mycobacterium tuberculosis variant bovis BCG in 12-hour

收藏
Figshare2025-03-25 更新2026-04-28 收录
下载链接:
https://figshare.com/articles/dataset/_b_Microscopy_data_analysis_code_and_segmentation_models_for_Phenotypic_drug_susceptibility_testing_for_b_b_i_Mycobacterium_tuberculosis_i_b_b_variant_b_b_i_bovis_i_b_b_BCG_in_b_b_12-hour_b_/26927146
下载链接
链接失效反馈
官方服务:
资源简介:
The study aimed to improve the speed of drug susceptibility testing for tuberculosis (TB), particularly drug-resistant strains. Current phenotypic drug susceptibility testing (pDST) methods take at least two weeks. This study used microfluidic chips, microscopy, and deep neural network algorithms to monitor the growth of Mycobacterium bovis Bacillus Calmette–Guérin (BCG) and Mycobacterium smegmatis in the presence of antibiotics. The findings suggest that pDST for TB could potentially be completed in less than 12 hours for slow-growing mycobacteria, offering a significant improvement in diagnosing drug-resistant TB. The entry contains raw microscopy data, analysis code and output, and code to generate figures.
创建时间:
2025-03-25
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作