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A collaborative robotic solution to partly automate SARS-CoV-2 serological tests in small facilities.
Zanchettin, Andrea Maria; Facciotti, Federica.
  • Zanchettin AM; Politecnico di Milano, Dipartimento di Elettronica, Informazione e Bioingegneria, Piazza Leonardo Da Vinci 32, Milano, Italy. Electronic address: andreamaria.zanchettin@polimi.it.
  • Facciotti F; Istituto Europeo di Oncologia IRCCS, Dipartimento di Oncologia Sperimentale, via Ripamonti 435, Milano, Italy. Electronic address: federica.facciotti@unimib.it.
SLAS Technol ; 27(1): 100-106, 2022 02.
Article in English | MEDLINE | ID: covidwho-1482971
ABSTRACT
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%.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Robotics / COVID-19 Type of study: Diagnostic study / Prognostic study Topics: Vaccines Limits: Humans Language: English Journal: SLAS Technol Year: 2022 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Robotics / COVID-19 Type of study: Diagnostic study / Prognostic study Topics: Vaccines Limits: Humans Language: English Journal: SLAS Technol Year: 2022 Document Type: Article