Fida Biosystems

Why settle for a single yes/no readout on whether binding occurred? FIDA captures three functional analyses from one in-solution measurement: absolute molecular size (hydrodynamic radius), Lambda Dynamics (ratiometric fluorescence) and Binding-Related Intensity Change (BRIC). Three readouts means your confidence increases and your assay risk decreases, with no need to run separate, complementary assays. One assay, multiple answers. What is FIDA? Flow induced dispersion analysis is an in-solution biophysical technology based on first-principle physics. It resolves molecular size, binding and sample characteristics from one diffusion profile — replacing a stack of complementary assays with a single experiment, under native conditions. → Watch a webinar about Fida Evolve -> the new generation of FIDA.

How much of your sample's behaviour is your assay actually telling you? Fragmented assays leave data gaps and ambiguity. FIDA reports binding in the context of sample integrity: over 10 biophysical readouts from one sample, including binding affinity, kinetics, aggregation state, viscosity, polydispersity, quantification, stickiness/loss, labelling quality, structural correlation (PDB Correlator) and molecular size — all under identical assay conditions. Multiple questions, one assay. What is FIDA? Flow induced dispersion analysis is an in-solution biophysical technology based on first-principle physics. It resolves molecular size, binding and sample characteristics from one diffusion profile — replacing a stack of complementary assays with a single experiment, under native conditions. → Watch a webinar about FIDA Evolve: the newest FIDA instrument.

Does surface immobilisation distort the dynamics you're trying to measure? Every FIDA measurement happens in laminar flow, in the native sample environment. That removes surface regeneration cycles, non-specific binding artefacts and lengthy assay development, and it lets you work directly in complex matrices such as serum, plasma, cell lysate and fermentation media — no purification required, across a full range of detergent conditions. All this, in native, in-solution conditions for increased biological relevance. What is FIDA? Flow induced dispersion analysis is an in-solution biophysical technology based on first-principle physics. It resolves molecular size, binding and sample characteristics from one diffusion profile — replacing a stack of complementary assays with a single experiment, under native conditions. → Watch a webinar about Fida Evolve -> the new generation of FIDA

How to stop fragmented assay development staling your projects? Multiple readouts per run means fewer runs, faster time to insight, faster decisions and increased ROI. FIDA closes data gaps by delivering 3 measurements directly in complex matrices with no purification, on sample volumes down to 2 µL. Imagine studying binding affinity or kinetics in the context of your sample characteristics, all done in 1 run? It is possible thanks to 3 simultaneous measurements and embedded sample characterisation readouts – all in 1 run. Fewer assays, fewer compromises. What is FIDA? Flow induced dispersion analysis is an in-solution biophysical technology based on first-principle physics. It resolves molecular size, binding and sample characteristics from one diffusion profile — replacing a stack of complementary assays with a single experiment, under native conditions. →Watch a webinar about Fida Evolve -> the new generation of FIDA.

What happens when a lab that already owns SPR, ITC, DLS, AUC and MST adds one more instrument? It often ends up being their go-to solution. Why? Timothy Sharpe (University of Basel) shares a year of real, difficult core-facility cases and where FIDA delivered accuracy and a wealth of data that can change the way efficiency can be defined in core facility workflows. Explore the application cases. ▶ Watch "Solving Difficult Cases at a Core Facility":

AI can generate a million protein designs. The bottleneck has always been measuring them. At Onava AI, Sharrol Bachas builds a closed loop between in-silico design and the wet lab: where models propose, assays measure, and the data flows straight back into training. FIDA has become a core enabler: high-throughput, in-solution binding and functional data that models can actually learn from. See how the design–measure–learn loop works in practice. ▶ Watch the on-demand webinar: