Deep Learning Optimization for Lens-Free Holographic Imaging and SARS-CoV-2 Biosensing

Shriniketh Sreevatsan; Colin J. Potter; Euan McLeod

Deep Learning Optimization for Lens-Free Holographic Imaging and SARS-CoV-2 Biosensing

Shriniketh Sreevatsan, Colin J. Potter, Euan McLeod

Optical Sciences

Research output: Contribution to journal › Conference article › peer-review

Abstract

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.

Original language	English (US)
Article number	JW5A.83
Journal	Optics InfoBase Conference Papers
State	Published - 2022
Event	Frontiers in Optics, FiO 2022 - Rochester, United States Duration: Oct 17 2022 → Oct 20 2022

ASJC Scopus subject areas

Electronic, Optical and Magnetic Materials
Mechanics of Materials

Cite this

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title = "Deep Learning Optimization for Lens-Free Holographic Imaging and SARS-CoV-2 Biosensing",

abstract = "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.",

author = "Shriniketh Sreevatsan and Potter, {Colin J.} and Euan McLeod",

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year = "2022",

language = "English (US)",

journal = "Optics InfoBase Conference Papers",

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T1 - Deep Learning Optimization for Lens-Free Holographic Imaging and SARS-CoV-2 Biosensing

AU - Sreevatsan, Shriniketh

AU - Potter, Colin J.

AU - McLeod, Euan

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.

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M3 - Conference article

AN - SCOPUS:85146654187

SN - 2162-2701

JO - Optics InfoBase Conference Papers

JF - Optics InfoBase Conference Papers

M1 - JW5A.83

T2 - Frontiers in Optics, FiO 2022

Y2 - 17 October 2022 through 20 October 2022

ER -

Deep Learning Optimization for Lens-Free Holographic Imaging and SARS-CoV-2 Biosensing

Abstract

ASJC Scopus subject areas

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