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A collaborative robotic solution to partly automate SARS-CoV-2 serological tests in small facilities
The outbreak of COVID-19 has introduced a significant stress on the healthcare systems of many countries. The availability of quick and reliable screening methodologies can be regarded as the keystone approach to mitigate the spread of the infection until mass vaccination campaigns will be made avai...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Authors. Published by Elsevier Inc. on behalf of Society for Laboratory Automation and Screening.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8545608/ https://www.ncbi.nlm.nih.gov/pubmed/35058214 http://dx.doi.org/10.1016/j.slast.2021.10.012 |
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author | Zanchettin, Andrea Maria Facciotti, Federica |
author_facet | Zanchettin, Andrea Maria Facciotti, Federica |
author_sort | Zanchettin, Andrea Maria |
collection | PubMed |
description | The outbreak of COVID-19 has introduced a significant stress on the healthcare systems of many countries. The availability of quick and reliable screening methodologies can be regarded as the keystone approach to mitigate the spread of the infection until mass vaccination campaigns will be made available to the population. In this scenario, robotics technology can serve as a substantial help in clinical laboratories to speed up the activities. This work describes in the details a collaborative robotics application developed in partnership with a clinical hospital and a robot manufacturer to partly automate SARS-CoV-2 quantitative serological tests. This technology can be particularly beneficial for small laboratory facilities to alleviate technicians from performing repetitive operations. By automating part of the operations, the overall throughput can be increased of 66%, while the amount of possibly harmful pipetting activities performed by the human can be reduced of 62%. |
format | Online Article Text |
id | pubmed-8545608 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | The Authors. Published by Elsevier Inc. on behalf of Society for Laboratory Automation and Screening. |
record_format | MEDLINE/PubMed |
spelling | pubmed-85456082021-10-26 A collaborative robotic solution to partly automate SARS-CoV-2 serological tests in small facilities Zanchettin, Andrea Maria Facciotti, Federica SLAS Technol Article The outbreak of COVID-19 has introduced a significant stress on the healthcare systems of many countries. The availability of quick and reliable screening methodologies can be regarded as the keystone approach to mitigate the spread of the infection until mass vaccination campaigns will be made available to the population. In this scenario, robotics technology can serve as a substantial help in clinical laboratories to speed up the activities. This work describes in the details a collaborative robotics application developed in partnership with a clinical hospital and a robot manufacturer to partly automate SARS-CoV-2 quantitative serological tests. This technology can be particularly beneficial for small laboratory facilities to alleviate technicians from performing repetitive operations. By automating part of the operations, the overall throughput can be increased of 66%, while the amount of possibly harmful pipetting activities performed by the human can be reduced of 62%. The Authors. Published by Elsevier Inc. on behalf of Society for Laboratory Automation and Screening. 2022-02 2021-10-25 /pmc/articles/PMC8545608/ /pubmed/35058214 http://dx.doi.org/10.1016/j.slast.2021.10.012 Text en © 2021 The Authors. Published by Elsevier Inc. on behalf of Society for Laboratory Automation and Screening. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Zanchettin, Andrea Maria Facciotti, Federica A collaborative robotic solution to partly automate SARS-CoV-2 serological tests in small facilities |
title | A collaborative robotic solution to partly automate SARS-CoV-2 serological tests in small facilities |
title_full | A collaborative robotic solution to partly automate SARS-CoV-2 serological tests in small facilities |
title_fullStr | A collaborative robotic solution to partly automate SARS-CoV-2 serological tests in small facilities |
title_full_unstemmed | A collaborative robotic solution to partly automate SARS-CoV-2 serological tests in small facilities |
title_short | A collaborative robotic solution to partly automate SARS-CoV-2 serological tests in small facilities |
title_sort | collaborative robotic solution to partly automate sars-cov-2 serological tests in small facilities |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8545608/ https://www.ncbi.nlm.nih.gov/pubmed/35058214 http://dx.doi.org/10.1016/j.slast.2021.10.012 |
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