This transcript highlights the transformative impact of the Inveon Edge automated sample preparation system on laboratory workflows. It details how the system significantly reduces backlogs and increases throughput by eliminating time-consuming manual tasks like pipetting, enabling near 24/7 operation. Key features include validated protocols, end-to-end sample and consumable tracking, onboard quality control, and the use of pre-optimized, barcoded reagent kits. The Inveon Edge also enhances reliability and reproducibility of results, reduces staff pressure, and incorporates pre-analytical checks to prevent errors, streamlining the entire sequencing workflow.
Automating Sample Preparation with Inveon Edge
0:05 Backlog Elimination: The Inveon Edge automated system enabled the clearance of a 14-month backlog of samples, a task deemed impossible using manual preparation methods within project timelines and available staff.
0:22 Integrated Capabilities: The instrument provides validated research protocols, end-to-end tracking for samples and consumables, and built-in quality control features.
0:29 Enhanced Throughput & Efficiency: It supports "walk-away" automation, eliminating repetitive manual pipetting and other hands-on tasks, allowing sequencing workflows to run virtually 24/7 and significantly extending lab throughput and capacity.
0:47 Improved Quality & Reduced Strain: The automation leads to improved reliability and reproducibility of results, simultaneously reducing pressure on the laboratory team.
0:51 Simplified Reagent Handling: Inveon Edge utilizes pre-optimized, plug-and-play, barcoded reagent kits that only require thawing and insertion into the machine.
1:00 Streamlined Daily Setup: The system eliminates the 30-40 minutes typically spent daily on master mix preparation, automatically calculating required tips and reagents and guiding the user on where to load them.
1:17 Automated Pre-Checks: Before starting a run, the system conducts a pre-analytical check to confirm that the correct components have been loaded, flagging any discrepancies and preventing the run from initiating if issues are detected.