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About:
A Modular Microarray Imaging System for Highly Specific COVID-19 Antibody Testing
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An Entity of Type :
schema:ScholarlyArticle
, within Data Space :
wasabi.inria.fr
associated with source
document(s)
Type:
Academic Article
research paper
schema:ScholarlyArticle
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type
Academic Article
research paper
schema:ScholarlyArticle
isDefinedBy
Covid-on-the-Web dataset
has title
A Modular Microarray Imaging System for Highly Specific COVID-19 Antibody Testing
Creator
Jain, Aarti
Gratton, Enrico
Felgner, Philip
Khan, Saahir
Nakajima, Rie
Ramiro De Assis, Rafael
Jasinskas, Algis
Abram, Timothy
Hedde, Niklas
Pearce, Trevor
Toosky, Melody
Zhao, Weian
topic
covid:e4384f263f004b328db50697fe6f76384f2a6631#this
Source
BioRxiv; Medline; PMC
abstract
To detect the presence of antibodies in blood against SARS-CoV-2 in a highly sensitive and specific manner, here we describe a robust, inexpensive ($200), 3D-printable portable imaging platform (TinyArray imager) that can be deployed immediately in areas with minimal infrastructure to read coronavirus antigen microarrays (CoVAMs) that contain a panel of antigens from SARS-CoV-2, SARS-1, MERS, and other respiratory viruses. Application includes basic laboratories and makeshift field clinics where a few drops of blood from a finger prick could be rapidly tested in parallel for the presence of antibodies to SARS-CoV-2 with a test turnaround time of only 2–4 h. To evaluate our imaging device, we probed and imaged coronavirus microarrays with COVID-19-positive and negative sera and achieved a performance on par with a commercial microarray reader 100x more expensive than our imaging device. This work will enable large scale serosurveillance, which can play an important role in the months and years to come to implement efficient containment and mitigation measures, as well as help develop therapeutics and vaccines to treat and prevent the spread of COVID-19.
has issue date
2020-05-23
(
xsd:dateTime
)
bibo:doi
10.1101/2020.05.22.111518
bibo:pmid
32511369
has license
cc-by-nc-nd
sha1sum (hex)
e4384f263f004b328db50697fe6f76384f2a6631
schema:url
https://doi.org/10.1101/2020.05.22.111518
resource representing a document's title
A Modular Microarray Imaging System for Highly Specific COVID-19 Antibody Testing
has PubMed Central identifier
PMC7263497
has PubMed identifier
32511369
schema:publication
bioRxiv
resource representing a document's body
covid:e4384f263f004b328db50697fe6f76384f2a6631#body_text
is
http://vocab.deri.ie/void#inDataset
of
https://covidontheweb.inria.fr:4443/about/id/http/ns.inria.fr/covid19/e4384f263f004b328db50697fe6f76384f2a6631
is
schema:about
of
named entity 'therapeutics'
named entity 'coronavirus'
named entity 'prevent'
named entity 'deployed'
named entity 'Testing'
named entity 'POSITIVE AND NEGATIVE'
named entity 'BLOOD'
named entity 'PARALLEL'
named entity 'RAPIDLY'
named entity 'CONTAIN'
named entity 'TEST'
named entity 'ROLE'
named entity 'MONTHS'
named entity 'ANTIGEN'
named entity 'HELP'
named entity 'COMMERCIAL'
named entity 'FINGER'
named entity 'SPECIFIC'
named entity 'imaging'
named entity 'antibodies'
named entity 'positive'
named entity 'respiratory'
named entity 'drops'
named entity 'reader'
named entity 'negative'
named entity 'mitigation'
named entity 'sensitive'
named entity 'antibodies'
named entity 'coronavirus'
named entity 'sensitive and specific'
named entity 'viruses'
named entity 'CC-BY-NC'
named entity 'SARS-1'
named entity 'Antibody Testing'
named entity '7.5'
named entity 'bioRxiv'
named entity 'COVID-19'
named entity 'bioRxiv'
named entity 'Python'
named entity 'microscopy'
named entity 'COVID'
named entity 'spike protein'
named entity 'global population'
named entity 'Fluorescence'
named entity 'fluorescence'
named entity 'serological testing'
named entity 'COVID-19 pandemic'
named entity 'preprint'
named entity 'orders of magnitude'
named entity 'peer review'
named entity 'preprint'
named entity '3.5'
named entity 'virus'
named entity 'viral antigens'
named entity 'megapixel'
named entity 'OmniVision'
named entity 'preprint'
named entity 'coronavirus'
named entity 'doi'
named entity 'preprint'
named entity 'Amazon'
named entity 'humoral response'
named entity 'highly parallelized'
named entity 'pre-symptomatic'
named entity 'fluorescence'
named entity 'coronavirus'
named entity 'bioRxiv'
named entity 'cell phone cameras'
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