TY - JOUR
T1 - Deep Learning Optimization for Lens-Free Holographic Imaging and SARS-CoV-2 Biosensing
AU - Sreevatsan, Shriniketh
AU - Potter, Colin J.
AU - McLeod, Euan
N1 - Publisher Copyright: © 2022 The Author(s)
PY - 2022
Y1 - 2022
N2 - Rapid biosensing assays to detect SARS-CoV-2 are critical in mitigating the impact of the pandemic. Here, we use a lens-free holographic microscope coupled with deep learning in a rapid and sensitive assay to detect SARS-CoV-2.
AB - Rapid biosensing assays to detect SARS-CoV-2 are critical in mitigating the impact of the pandemic. Here, we use a lens-free holographic microscope coupled with deep learning in a rapid and sensitive assay to detect SARS-CoV-2.
UR - http://www.scopus.com/inward/record.url?scp=85146654187&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85146654187&partnerID=8YFLogxK
M3 - Conference article
SN - 2162-2701
JO - Optics InfoBase Conference Papers
JF - Optics InfoBase Conference Papers
M1 - JW5A.83
T2 - Frontiers in Optics, FiO 2022
Y2 - 1 January 2022
ER -