Virus detection using nanoparticles and deep neural network–enabled smartphone system-Reference-Cited by-同舟云学术

Virus detection using nanoparticles and deep neural network–enabled smartphone system

Published:2020-12-18 Issue:51 Volume:6 Page:
ISSN:2375-2548
Container-title:Science Advances
language:en
Short-container-title:Sci. Adv.

Author:

Draz Mohamed S.¹²^ORCID,Vasan Anish¹^ORCID,Muthupandian Aradana¹^ORCID,Kanakasabapathy Manoj Kumar¹²^ORCID,Thirumalaraju Prudhvi¹^ORCID,Sreeram Aparna¹^ORCID,Krishnakumar Sanchana¹^ORCID,Yogesh Vinish¹^ORCID,Lin Wenyu³^ORCID,Yu Xu G.⁴⁵^ORCID,Chung Raymond T.²³^ORCID,Shafiee Hadi¹²^ORCID

Affiliation:

1. Division of Engineering in Medicine, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02139, USA.

2. Harvard Medical School, Boston, MA 02115, USA.

3. Liver Center, Gastrointestinal Division, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA.

4. Division of Infectious Diseases, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02139, USA.

5. The Ragon Institute of Massachusetts General Hospital, Massachusetts Institute of Technology and Harvard University, Boston, MA 02129, USA.

Abstract

A virus detection method using deep learning–based analysis of smartphone-recorded microchip images without any optical hardware.

Funder

National Institutes of Health

National Institute of Allergy and Infectious Diseases

Harvard University Center for AIDS Research

Publisher

American Association for the Advancement of Science (AAAS)

Subject

Multidisciplinary

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