Digital diffraction analysis enables low-cost molecular diagnostics on a smartphone

Hyungsoon Im, Cesar M. Castro, Huilin Shao, Monty Liong, Jun Song, Divya Pathania, Lioubov Fexon, Changwook Min, Maria Avila-Wallace, Omar Zurkiya, Junsung Rho, Brady Magaoay, Rosemary H. Tambouret, Misha Pivovarov, Ralph Weissleder, Hakho Lee

Research output: Contribution to journalArticlepeer-review

Abstract

The widespread distribution of smartphones, with their integrated sensors and communication capabilities, makes them an ideal platform for point-of-care (POC) diagnosis, especially in resource-limited settings. Molecular diagnostics, however, have been difficult to implement in smartphones. We herein report a diffraction-based approach that enables molecular and cellular diagnostics. The D3 (digital diffraction diagnosis) system uses microbeads to generate unique diffraction patterns which can be acquired by smartphones and processed by a remote server. We applied the D3 platform to screen for precancerous or cancerous cells in cervical specimens and to detect human papillomavirus (HPV) DNA. The D3 assay generated readouts within 45 min and showed excellent agreement with gold-standard pathology or HPV testing, respectively. This approach could have favorable global health applications where medical access is limited or when pathology bottlenecks challenge prompt diagnostic readouts.

Original languageEnglish (US)
Pages (from-to)5613-5618
Number of pages6
JournalProceedings of the National Academy of Sciences of the United States of America
Volume112
Issue number18
DOIs
StatePublished - May 5 2015
Externally publishedYes

Keywords

  • Cancer diagnostics
  • Cervical cancer
  • Molecular sensing
  • Point-of-care diagnostics
  • Smartphone

ASJC Scopus subject areas

  • General

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