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Proceedings Paper

A cost-effective smartphone-based antimicrobial susceptibility test reader for drug resistance testing (Conference Presentation)
Author(s): Steve W. Feng; Derek Tseng; Dino Di Carlo; Omai B. Garner; Aydogan Ozcan
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Paper Abstract

Antimicrobial susceptibility testing (AST) is commonly used for determining microbial drug resistance, but routine testing, which can significantly reduce the spread of multi-drug resistant organisms, is not regularly performed in resource-limited and field-settings due to technological challenges and lack of trained diagnosticians. We developed a portable cost-effective smartphone-based colorimetric 96-well microtiter plate (MTP) reader capable of automated AST without the need for a trained diagnostician. This system is composed of a smartphone used in conjunction with a 3D-printed opto-mechanical attachment, which holds a set of inexpensive light-emitting-diodes and fiber-optic cables coupled to the 96-well MTP for enabling the capture of the transmitted light through each well by the smartphone camera. Images of the MTP plate are captured at multiple exposures and uploaded to a local or remote server (e.g., a laptop) for automated processing/analysis of the results using a custom-designed smartphone application. Each set of images are combined to generate a high dynamic-range image and analyzed for well turbidity (indicative of bacterial growth), followed by interpretative analysis per plate to determine minimum inhibitory concentration (MIC) and drug susceptibility for the specific bacterium. Results are returned to the originating device within ~1 minute and shown to the user in tabular form. We demonstrated the capability of this platform using MTPs prepared with 17 antibiotic drugs targeting Gram-negative bacteria and tested 82 patient isolate MTPs of Klebsiella pneumoniae, achieving well turbidity accuracy of 98.19%, MIC accuracy of 95.15%, and drug susceptibility interpretation accuracy of 99.06%, meeting the FDA defined criteria for AST.

Paper Details

Date Published: 19 April 2017
PDF: 1 pages
Proc. SPIE 10055, Optics and Biophotonics in Low-Resource Settings III, 100550B (19 April 2017); doi: 10.1117/12.2253602
Show Author Affiliations
Steve W. Feng, Univ. of California, Los Angeles (United States)
Derek Tseng, Univ. of California, Los Angeles (United States)
Dino Di Carlo, Univ. of California, Los Angeles (United States)
Omai B. Garner, Univ. of California, Los Angeles (United States)
Aydogan Ozcan, Univ. of California, Los Angeles (United States)


Published in SPIE Proceedings Vol. 10055:
Optics and Biophotonics in Low-Resource Settings III
David Levitz; Aydogan Ozcan; David Erickson, Editor(s)

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