Easy access to the power and precision that matter most for your application success
New product integrates with Hamilton liquid handling platforms and operates as a standalone device
Automated, end-to-end workflows provide hands-free convenience with unrivaled assay sensitivity and robust system performance
Automated next-generation sequencing (NGS) solution increases efficiency and reduces manual intervention for up to 96 samples per day
Problem: Molecular biology relies on the ability to precisely target and amplify nucleic acids, and next-generation sequencing (NGS) platforms and cloning reactions benefit from precise size selection and analytical characterization of samples. For decades, researchers have used electrophoresis with agarose gels for both size selection and fragment-length distribution assessment of DNA samples for downstream assays.
As laboratory budgets tighten and laboratory automation purchases come under scrutiny, R&D efforts are still expected to function efficiently and with increased data quality.
Problem: ELISA assays are a workhorse assay used in pharmaceutical research and molecular diagnostic labs. This assay can be a high-volume service area for contract labs. However, many IVD labs and CROs have difficulty in costeffectively scaling their ELISA workflow to meet customer demand. This simple assay becomes deceptively complex: time sensitive steps and subtle workflow changes between different tests can be challenging to process as throughput increases. Reagent costs can cut further into tight operating margins. At some point manual processing becomes too challenging from an IVD compliance and operational perspective. Automating the laboratory’s workflow is the answer—but it can seem difficult to implement and expensive.
Problem: Forensic labs in the US are faced with backlogs of samples waiting to be processed.
Automation solutions offer a great alternative to laborintensive manual processes. Liquid handling automation eliminates human errors and process inconsistencies over extended periods of time, resulting in an increased robustness compared to manual processes.