Abselion is a Cambridge University spin-out focused on transforming biomolecule quantification with fast, reliable, and accessible tools for protein and viral vector analysis. Its flagship platform, Amperia™, uses proprietary Redox Electrochemical Detection (RED) technology to deliver accurate, reproducible results — even from complex samples — without optics, fluidics, or specialist training. Designed for ease and speed at the bench, Abselion empowers scientists with high-quality insights across research and development workflows. Guided by the principle of precision made practical, the team brings together deep expertise in biology, assay development, and engineering.
The Amperia™ system combines compact hardware, assay-ready sensors, and integrated software to streamline protein quantification. Built to support scientists in discovery, development, and beyond, it delivers dependable data quickly and without unnecessary complexity — even from crude or complex samples.
The His-Tag Protein Quantification Kit extends the Amperia™ Protein Quantification System for direct, tag-specific measurement of His-tagged recombinant proteins. Using a premix competition format with GenScript’s THE™ His Tag Monoclonal Antibody, the kit delivers accurate, reproducible results across both crude lysates and purified samples, with up to 80 tests per kit.
The AAVX and AAV9 Total Capsid Quantification Kits extend the Amperia™ Protein Quantification System for streamlined measurement of adeno-associated virus (AAV) vectors. Incorporating CaptureSelect™ affinity reagents from Thermo Fisher Scientific, the kits provide robust, reproducible assays for both broad serotype coverage and AAV9-specific quantification.
The Protein A and Protein G Quantification Kits extend the Amperia™ Protein Quantification System for streamlined measurement of antibodies across subclasses and species. Using Fc capture with an inverse-occupancy format, the kits deliver reproducible titres directly from crude or clarified samples, with up to 320 tests per kit.
