Hudson Robotics Announces the Release of New White Paper
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Hudson Robotics has announced the release of a new white paper on Multi-Channel Pipettor performance.
"Maximizing the Precision and Accuracy of a Multi-Channel Pipettor to Optimize Inhibition Data from a Kinase Assay" can be viewed at http://www.hudsonrobotics.com/products/liquid-handling/solo/#Literature.
Multi-Channel Pipettor precision is crucial in any assay test. In order to maximize Multi-Channel Pipettor performance, researchers at Hudson Robotics ran a series of tests to determine optimal settings for obtaining reliable inhibition data from a Kinase Assay.
ADP-Glo is a universal kinase inhibition assay that measures the amount of ADP generated. The assay is best run at the five microliter scale and consists of three components added in one and two microliter additions.
The actual pipetting method employed greatly affects the precision of low volume transfers, and a number of pipetting methods were examined using a gravimetric technique developed to measure these effects. Additionally, attaching the pipettor's head to Hudson Robotics' proprietary motion control increases its precision by an order of magnitude.
Hudson Robotics, a leader in microplate automation, laboratory robotics, liquid handling and customized software-driven solutions for life-science research, developed a robot to control the movement of a standard multi-channel manual pipettor. The unit can be connected to a computer system through a USB-to-serial convertor, and is controlled by SoloSoft software.
The company's new white paper is the outcome of Hudson's work to develop an automated protocol for running Promega's ADP-Glo kinase assay that includes a range of liquid transfers from 1 to10uL.
"Our research revealed the most precise settings for Multi-Channel Pipettors," notes Alan H. Katz PhD, Chief Scientific Officer of Hudson Robotics. "We're very pleased to be able to share our findings with the scientific community and to be able offer the most precise, accurate Multi-Channel Pipettors for optimizing inhibition data from kinase assays."
