Consistent sampling for clinical research

Standardised diagnostic sampling for academic and translational research

Advancing academic research

Standardise sampling across studies and locations

Protect sample integrity from kit to lab

Reduce operational friction for research teams

Strengthen confidence in research outputs

Consistent
sampling
improves data
quality

The strength of research outcomes is directly tied to the quality and consistency of the samples behind them.

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End-to-end diagnostic sampling

We collaborate with research institutions, laboratories, and networks to provide standardised, end-to-end diagnostic sampling solutions that enhance reproducibility, ensure data integrity, and streamline operations.

From kit design and barcoding to logistics, digital traceability, and seamless lab integration, our connected systems minimise variability and build greater confidence in research data.

Our complete diagnostic solution

A better pathway for research

Accurate. Repeatable. Traceable. Compliant.

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1

Research‑specific kit selected or configured

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Sample collected using standardised instructions

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Kit registered and tracked

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Sample transported via compliant logistics

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5

Laboratory receives and processes sample

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End‑to‑end traceability maintained for audit and reporting

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Academic research enabled with +CURA

The all-in-one digital platform for your research insights.

+CURA is our cloud-based LIMS and patient-facing digital app, designed to bring research diagnostic data into one place for a seamless user experience.
 
Our app offers a fully auditable chain of custody across the pathway. +CURA provides a full scope of insights to simplify data-driven analysis.

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Download our Academic Research brochure

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Reproducible results by design

Frequently asked questions

RDi routinely supports large-scale, multi-site research programmes where consistency across locations is critical.
We design and supply standardised diagnostic sampling kits, supported by fully trackable logistics and fulfilment, to ensure samples are collected and returned in a controlled, repeatable way.
Sampling can take place in clinical settings or via self-sampling in participants’ homes, enabling national or geographically distributed studies without introducing unnecessary variability.

Consistency is built in at every stage of the pathway.
Kits are standardised, barcoded and configured for the specific research protocol, with controlled handling, distribution and return. This reduces site-level variation and helps ensure samples are collected, transported and received in a consistent condition, regardless of location.

Yes. RDi’s diagnostic kits are designed and managed to support batch consistency, helping minimise lot-to-lot variation that could affect research outcomes.
This approach supports reproducibility across cohorts and timepoints, which is essential for academic and translational research where results must be reliable, comparable and defensible.

Each kit includes clear, standardised instructions designed to minimise user variability during sample collection.
Where required, this can be supported with additional materials such as visual guides, how-to videos and multilingual instructions, tailored to the study design and participant population.
This helps ensure samples are collected correctly and consistently, even across large or decentralised studies.

Every kit is uniquely identified and digitally tracked across the pathway.
From registration and collection through transport and laboratory receipt, traceability is maintained to support audit requirements, governance and confidence in sample provenance.
This clear chain of custody strengthens trust in the data generated from each sample.

Yes. +CURA is designed to mould perfectly with your existing LIMS and research databases to support data-driven academic research across studies. Our app fully integrates with laboratory workflows to provide access to aggregated data, enabling you to make educated insights and informed decisions.

By standardising sampling, maintaining traceability and reducing operational variability, RDi helps create the conditions needed for reproducible results.
When sampling is consistent, data integrity improves, and research teams can place greater confidence in the outputs of their studies.

 

Thank you for your enquiry

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