• Access our MDS Technology
  • Products & Services

    Learn more about accessing our MDS technology by exploring our diverse service offerings and our innovative Fluidity One-M platform, complemented by the advanced analytical capabilities of our Fluidity Intelligence.

    Quantify and characterize any protein interaction

    Fluidity One-M

    The Fluidity One-M system enables quantification and characterization of any protein interaction – even in complex backgrounds or with challenging targets.

    4 µL

    Sample volume per data point enables KD determination with as little as 50 µL of sample

    1 – 20 nm

    Range for size measurement, covering peptides to multiprotein complexes and fibrillar aggregates

    25 minutes

    To generate 24 data points, providing a KD value in under an hour

    35 kg

    Standalone benchtop instrument, operated by a touchscreen

    Want to send your samples to us?

    Protein Interactions Lab

    Experience first-hand how microfluidic diffusional sizing (MDS) adds power to your protein interaction toolbox. Quantify and characterize any protein interaction – even in complex backgrounds, even with challenging targets.

    Protein Affinity Measurements
    Data Analysis
    SAffCon Assays
    Protein Labelling
    Custom Assay Development
    Compatible with every sample type

    Microfluidic chip plates

    The Fluidity One-M requires a single consumable, compatible with every sample type to measure size, affinity, concentration, expression levels, and stoichiometry.

    24 sample measurements per chip plate
    4 µL per sample
    Improve your characterization workflow


    Quick and easy-to-use kits to improve your characterization workflow on the Fluidity One-M.

    Kits suitable for applications in oncology, immunology, and neurodegenerative fields.
    Data science tools

    Fluidity Intelligence

    Our collection of data science tools is a powerful extension to the integrated analysis found on the Fluidity One-M with applications in oncology, immunology, and neurodegenerative diseases.

    Allows determination of stoichiometry, receptor expression levels, and binding site concentration.

    Experimental design features predict subsequent experiments by integrating previously collected data into the analysis process.