| Autor: |
Arjun Subramonian, Calvin Brown, Paige M. K. Larkin, Susan Realegeno, Dino Di Carlo, Omai B. Garner, Aydogan Ozcan, Leanne Mortimer, Derek Tseng |
| Rok vydání: |
2021 |
| Předmět: |
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| Zdroj: |
Photonic Diagnosis, Monitoring, Prevention, and Treatment of Infections and Inflammatory Diseases 2021. |
| DOI: |
10.1117/12.2579422 |
| Popis: |
We demonstrate an automated, cost-effective system that delivers early antimicrobial-susceptibility-testing results, minimizing incubation time and eliminating human errors, while remaining compatible with standard clinical workflow. A neural network processes the time-lapse intensity information from a fiber-optic array to detect growth in each well of a 96-wellplate. Our blind testing on clinical Staphylococcus aureus infections reveals that 95.03% of all the wells containing growth were correctly identified, with an average incubation time of 5.72-h. This deep learning-based optical system met the FDA-defined essential and categorical agreement criteria for all 14 antibiotics tested, after an average of |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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