Point-of-care test for early-stage Lyme disease using a multiplexed paper-based assay and machine learning

Hyou-Arm Joung; Zachary S. Ballard; Zachary S. Ballard; Jing Wu; Derek K. Tseng; Hailemariam Teshome; Linghao Zhang; Raymond J. Dattwyler; Paul M. Arnaboldi; Omai Garner; Dino Di Carlo; Aydogan Ozcan; Aydogan Ozcan; Aydogan Ozcan

doi:10.1364/TRANSLATIONAL.2020.TTh4B.5

Biophotonics Congress: Biomedical Optics 2020 (Translational, Microscopy, OCT, OTS, BRAIN)
OSA Technical Digest (Optica Publishing Group, 2020),
paper TTh4B.5
•https://doi.org/10.1364/TRANSLATIONAL.2020.TTh4B.5

Point-of-care test for early-stage Lyme disease using a multiplexed paper-based assay and machine learning

Hyou-Arm Joung, Zachary S. Ballard, Jing Wu, Derek K. Tseng, Hailemariam Teshome, Linghao Zhang, Raymond J. Dattwyler, Paul M. Arnaboldi, Omai Garner, Dino Di Carlo, and Aydogan Ozcan

Clinical and Translational Biophotonics 2020

Washington, DC United States
20–23 April 2020
ISBN: 978-1-943580-74-3

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Musculoskeletal, Ophthalmology and Point-of-care (TTh4B)

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H. Joung, Z. S. Ballard, J. Wu, D. K. Tseng, H. Teshome, L. Zhang, R. J. Dattwyler, P. M. Arnaboldi, O. Garner, D. Di Carlo, and A. Ozcan, "Point-of-care test for early-stage Lyme disease using a multiplexed paper-based assay and machine learning," in Biophotonics Congress: Biomedical Optics 2020 (Translational, Microscopy, OCT, OTS, BRAIN), OSA Technical Digest (Optica Publishing Group, 2020), paper TTh4B.5.

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Abstract

We report a multiplexed paper-based assay powered by mobile imaging and machine learning for point-of-care diagnosis of Lyme Disease. Blind testing of 96 serum samples showed a sensitivity and specificity of 85.7% and 96.3%, respectively.

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