DeepGT: Deep learning-based quantification of nanosized bioparticles in bright-field micrographs of Gires-Tournois biosensor-Reference-Cited by-同舟云学术

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DeepGT: Deep learning-based quantification of nanosized bioparticles in bright-field micrographs of Gires-Tournois biosensor

Published:2023-10 Issue: Volume:52 Page:101968
ISSN:1748-0132
Container-title:Nano Today
language:en
Short-container-title:Nano Today

Author:

Kang Jiwon,Yoo Young Jin,Park Jin-Hwi,Ko Joo Hwan,Kim Seungtaek,Stanciu Stefan G.,Stenmark Harald A.,Lee JinAh,Mahmud Abdullah Al,Jeon Hae-Gon,Song Young Min

Publisher

Elsevier BV

Subject

Pharmaceutical Science,General Materials Science,Biomedical Engineering,Bioengineering,Biotechnology

Reference86 articles.

1. Diagnostics for SARS-CoV-2 infections

2. COVID-19 diagnostics in context

3. Strategies for developing sensitive and specific nanoparticle-based lateral flow assays as point-of-care diagnostic device

4. Fast detection of SARS-CoV-2 RNA via the integration of plasmonic thermocycling and fluorescence detection in a portable device

5. Considerations for diagnostic COVID-19 tests

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1. Artificial Intelligence‐Enhanced Metasurfaces for Instantaneous Measurements of Dispersive Refractive Index;Advanced Science;2024-09-03

2. A single-step, digital immunoassay based on serial imaging and image processing;Sensors and Actuators B: Chemical;2024-07

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