2021
DOI: 10.1177/2472630320973591
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Adapting a Low-Cost and Open-Source Commercial Pipetting Robot for Nanoliter Liquid Handling

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Cited by 22 publications
(20 citation statements)
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“…10, 25, 100, and 1000 μL target volumes resulted in 7–11, 23–27, 98–101, and 998–1002 μL samples, respectively (Fig. 3a ), similar to manual pipetting and other robots 7 , 10 , 27 30 . The resulting volumes varied from the target volume by ± 2 μL regardless of the target volume, suggesting droplet retention at the pipet tip rather than pump inaccuracies as the source of this variation (see below).…”
Section: Resultssupporting
confidence: 57%
“…10, 25, 100, and 1000 μL target volumes resulted in 7–11, 23–27, 98–101, and 998–1002 μL samples, respectively (Fig. 3a ), similar to manual pipetting and other robots 7 , 10 , 27 30 . The resulting volumes varied from the target volume by ± 2 μL regardless of the target volume, suggesting droplet retention at the pipet tip rather than pump inaccuracies as the source of this variation (see below).…”
Section: Resultssupporting
confidence: 57%
“…2b), similar to manual pipetting and other robots. 7,10,[27][28][29][30] The resulting volumes varied from the target volume by +/-2 μ L regardless of the target volume, suggesting droplet retention at the pipet tip rather than pump inaccuracies as the source of this variation (see below). When testing the impact of pumping speed on accuracy, resulting volumes were within 1-2% of the target volume for 10, 25, and 50 µL/s.…”
Section: Robust Media Exchange In Multi-well Plates Via Automated Pipettingmentioning
confidence: 97%
“…Lastly, it is critical to highlight that the devices need to be able to adapt and be reconfigured as per changing user requirements. This has a massive beneficial impact on research and, successful examples of such application adjustments are already available: Opentrons' OT-1 was modified to manipulate nanolitre-scale volumes (50 nL) with less than 3% error [47] and an OT-2 was fitted with a mobile and custom-made microscope to automate imaging [48]. Before any research application is automated, the impact of the utilisation of a liquid handling device can be analysed by assessing scheduling and task completion [37].…”
Section: Specific Applications Of Lhdmentioning
confidence: 99%