A modular microarray imaging system for highly specific COVID-19 antibody testing.
Lab Chip
; 20(18): 3302-3309, 2020 09 21.
Article
in English
| MEDLINE | ID: covidwho-693631
Preprint
This scientific journal article is probably based on a previously available preprint. It has been identified through a machine matching algorithm, human confirmation is still pending.
See preprint
This scientific journal article is probably based on a previously available preprint. It has been identified through a machine matching algorithm, human confirmation is still pending.
See preprint
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 100× 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.
Full text:
Available
Collection:
International databases
Database:
MEDLINE
Main subject:
Pneumonia, Viral
/
Diagnostic Imaging
/
Coronavirus Infections
/
Clinical Laboratory Techniques
/
Microarray Analysis
Type of study:
Diagnostic study
/
Experimental Studies
/
Prognostic study
Topics:
Vaccines
Limits:
Humans
Language:
English
Journal:
Lab Chip
Journal subject:
Biotechnology
/
Chemistry
Year:
2020
Document Type:
Article
Affiliation country:
D0lc00547a
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