| Author |
Castro, Cesar M. Pathania, Divya Song, Jun Zurkiya, Omar Weissleder, Ralph Fexon, Lioubov Magaoay, Brady Lee, Hakho Pivovarov, Misha Liong, Monty Avila-wallace, Maria Shao, Huilin Rho, Junsung Im, Hyungsoon Tambouret, Rosemary H. Min, Changwook |
| Description |
Author Affiliation: Im H ( Center for Systems Biology, Massachusetts General Hospital, Boston, MA 02114); Castro CM ( Center for Systems Biology, Massachusetts General Hospital, Boston, MA 02114); Shao H ( Center for Systems Biology, Massachusetts General Hospital, Boston, MA 02114); Liong M ( Center for Systems Biology, Massachusetts General Hospital, Boston, MA 02114); Song J ( Center for Systems Biology, Massachusetts General Hospital, Boston, MA 02114); Pathania D ( Center for Systems Biology, Massachusetts General Hospital, Boston, MA 02114); Fexon L ( Center for Systems Biology, Massachusetts General Hospital, Boston, MA 02114); Min C ( Center for Systems Biology, Massachusetts General Hospital, Boston, MA 02114); Avila-Wallace M ( Department of Obstetrics and Gynecology, Massachusetts General Hospital, Boston, MA 02114); Zurkiya O ( Center for Systems Biology, Massachusetts General Hospital, Boston, MA 02114); Rho J ( Center for Systems Biology, Massachusetts General Hospital, Boston, MA 02114); Magaoay B ( Center for Systems Biology, Massachusetts General Hospital, Boston, MA 02114); Tambouret RH ( Department of Pathology, Massachusetts General Hospital, Boston, MA 02114); Pivovarov M ( Center for Systems Biology, Massachusetts General Hospital, Boston, MA 02114); Weissleder R ( Center for Systems Biology, Massachusetts General Hospital, Boston, MA 02114); Lee H ( Center for Systems Biology, Massachusetts General Hospital, Boston, MA 02114); |
| 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. |
| Subject Keyword |
Cell Phones Human Papillomavirus DNA Tests Papillomavirus Infections Diagnosis Precancerous Conditions Uterine Cervical Neoplasms Alphapapillomavirus Genetics Physiology Cost-Benefit Analysis Host-Pathogen Interactions Image Processing, Computer-Assisted Instrumentation Virology Reproducibility Of Results Sensitivity And Specificity Telemedicine Time Factors Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, Non-P.H.S. Multidisciplinary |
