Deep Learning Image Analysis of Nanoplasmonic Sensors: Toward Medical Breath Monitoring-Reference-Cited by-同舟云学术

Deep Learning Image Analysis of Nanoplasmonic Sensors: Toward Medical Breath Monitoring

Published:2022-11-23 Issue:49 Volume:14 Page:54411-54422
ISSN:1944-8244
Container-title:ACS Applied Materials & Interfaces
language:en
Short-container-title:ACS Appl. Mater. Interfaces

Author:

Zhao Yangyang¹²^ORCID,Dong Boqun²^ORCID,Benkstein Kurt D.¹^ORCID,Chen Lei³,Steffens Kristen L.¹,Semancik Steve¹

Affiliation:

1. Biomolecular Measurement Division, Material Measurement Laboratory, National Institute of Standards and Technology (NIST), Gaithersburg, Maryland20899, United States

2. Sensing Labs, Inc., Rockville, Maryland20850, United States

3. Center for Nanoscale Science and Technology, Physical Measurement Laboratory, National Institute of Standards and Technology (NIST), Gaithersburg, Maryland20899, United States

Funder

National Institute of Standards and Technology

Maryland Entrepreneur Funding and Investments

Publisher

American Chemical Society (ACS)

Subject

General Materials Science

Link

https://pubs.acs.org/doi/pdf/10.1021/acsami.2c11153

Reference66 articles.

1. Advances and applications of nanophotonic biosensors

2. Nanoparticle-Enhanced Plasmonic Biosensor for Digital Biomarker Detection in a Microarray