Rapid Detection of Urinary Tract Infection in 10 min by Tracking Multiple Phenotypic Features in a 30 s Large-Volume Scattering Video of Urine Microscopy.
Rapid Detection of Urinary Tract Infection in 10 min by Tracking Multiple Phenotypic Features in a 30 s Large-Volume Scattering Video of Urine Microscopy.
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DOI:
10.1021/acssensors.2c00788
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发表时间:
2022-08-26
期刊:
影响因子:
8.9
通讯作者:
Wang, Shaopeng
中科院分区:
文献类型:
--
作者:
Zhang, Fenni;Mo, Manni;Jiang, Jiapei;Zhou, Xinyu;McBride, Michelle;Yang, Yunze;Reilly, Kenta S.;Grys, Thomas E.;Haydel, Shelley E.;Tao, Nongjian;Wang, Shaopeng
关键词:
Rapid point-of-care (POC) diagnosis of bacterial infection diseases provides clinical benefits of prompt initiation of the antimicrobial therapy and reduction of the overuse/misuse of unnecessary antibiotics for nonbacterial infections. We present here a point-of-care compatible method for rapid bacterial infection detection in 10 minutes. We use a large volume solution scattering imaging (LVSi) system with low magnifications (1–2X) to visualize bacteria in clinical samples, thus eliminating the need for culture-based isolation and enrichment. We tracked multiple intrinsic phenotypic features of individual cells in a short video. By clustering these features with a simple machine learning algorithm, we can differentiate Escherichia coli from similar-sized polystyrene beads, distinguish bacteria with different shapes, and distinguish E. coli from urine particles. We applied the method to detect urinary tract infections in 104 patient urine samples with a 30-second LVSi video, and the results showed 92.3% accuracy compared with the clinical culture results. This technology provides opportunities for rapid bacterial infection diagnosis at the point-of-care settings. A point-of-care compatible UTI screening approach performed directly on a urine sample in less than 10 minutes based on large volume solution scattering imaging (LVSi) tracking of multiple intrinsic bacterial phenotypic features for rapid infection detection (referred to as LVSi-RD).
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DOI:
10.1073/pnas.0607898104
发表时间:
2007-10-16
影响因子:
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作者:
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