Multiplex Smartphone Diagnostics

Juan L Martinez-Hurtado; Ali K Yetisen; Seok-Hyun Yun

doi:10.1007/978-1-4939-6730-8_26

Multiplex Smartphone Diagnostics

Methods Mol Biol. 2017:1546:295-302. doi: 10.1007/978-1-4939-6730-8_26.

Authors

Juan L Martinez-Hurtado¹, Ali K Yetisen^{2

3}, Seok-Hyun Yun^{4

5}

Affiliations

¹ Department of Chemical Engineering and Biotechnology, University of Cambridge, Tennis Court Road, Cambridge, CB2 1QT, UK.
² Harvard Medical School and Wellman Center for Photomedicine, Massachusetts General Hospital, 65 Landsdowne Street, Cambridge, MA, 02139, USA. ayetisen@mgh.harvard.edu.
³ Harvard-MIT Division of Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA. ayetisen@mgh.harvard.edu.
⁴ Harvard Medical School and Wellman Center for Photomedicine, Massachusetts General Hospital, 65 Landsdowne Street, Cambridge, MA, 02139, USA.
⁵ Harvard-MIT Division of Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.

PMID: 27896779
DOI: 10.1007/978-1-4939-6730-8_26

Abstract

Increasing computing power in smartphones allows for their transformation into point-of-care diagnostic devices. Mobile medical diagnostic applications enable utilization of the processing capabilities of smartphones through their cameras. Hardware attachments or stand-alone versions of smartphone diagnostics have the capability to revolutionize quantitative readouts. Here, we describe a protocol for quantifying commercial colorimetric diagnostic tests with a stand-alone smartphone application. This approach can be used in the multiplexed analyses of biomarker readouts.

Keywords: Application; Diagnostics; Medical; Mobile; Quantitative assays; Smartphone.

MeSH terms

Biomarkers
Colorimetry / methods
Disease Management
Humans
Point-of-Care Systems*
Smartphone*
Software
Telemedicine / methods*

Substances

Biomarkers