Automation has become increasingly vital to accommodate the growing demands of sample throughput, reliability, and reduced hands-on-time. Read More
The Opentrons® OT-2 effectively performs qPCR quantification of NGS libraries, maintaining high precision while reducing hands-on time. Two methods of sample normalization were tested: individually for each sample or pooled with enzymatic normalization. Read More
Volatile liquids, liquids that evaporate readily at room temperature, are common reagents in various applications. Read More
Molecular assays require precise pipetting reagents and samples with a diverse set of properties — including viscous ones that can clog tips, distribute unevenly and complicate reproducibility… Read More
Upon recognition of viral components, cell-mediated immune responses trigger secretion of neutralizing antibodies against viral antigens, for example nucleocapsid (N) protein and spike (S) protein present on severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Read More
Serial dilutions are both independent experiments and building blocks of more complex experimental pipelines. Applications can be as simple as generating a standard curve or more complex phenotype characterization across cell culture concentrations. In any application, precise pipetting is required to generate reliable results. Read More
Modern molecular biology, driven by ever progressing technology, continues to deliver impressive and exciting new advancements — larger studies, more powerful therapeutics, and wholly new research questions. Read More
The Swift 2S Turbo DNA Library Kit was fully automated using the Opentrons OT-2 for quick, hands-off, highquality libraries for Illumina Next-Generation Sequencing. Read More
Microbiomics is a burgeoning field with implications for a wide range of topics in human health. Modern sequencing techniques can deliver rich and novel data but are constrained by DNA extraction methods that are difficult, time consuming, and, especially in microbiomics samples, prone to bias. Read More
A master’s thesis from Jeremy Kimball at the University of Illinois describing a streamlined, automated analysis pipeline to create microorganism growth phenotypes. Read More
