Becton, Dickinson and Company (BD) logo

From days to minutes: research tools any scientist can use.

Becton, Dickinson and Company (BD) works in bioscience, where its BD Biosciences business supports researchers with flow cytometry and scientific analysis tools.

Since 2016, Wildstream has built a recommendation engine that designs multi-colour flow cytometry panels in minutes rather than days, and modernised BD’s research analysis platform so non-experts can run advanced analysis.

Becton, Dickinson and Company (BD)
  • AI Engineering
  • Software Engineering

Days to minutes

Researchers design multi-color flow cytometry panels in minutes rather than the days that manual compatibility checks could take

Open to non-experts

Users without a background in statistics or biology can now run advanced analysis that once required deep domain expertise

Reagents and lasers

Compatibility is verified across multiple reagents and lasers at once, a check researchers previously worked through by hand

AI Engineering

Reagent Panel Recommendation Engine

Designing complex flow cytometry panels means checking compatibility between many reagents and lasers, which can take days. Every multi-color panel requires verifying that several reagents work together with the available lasers. The more colors a panel uses, the more combinations need checking before an experiment can start.

Days to minutes

Researchers design multi-color flow cytometry panels in minutes rather than the days that manual compatibility checks could take.

Reagents and lasers

Compatibility is verified across multiple reagents and lasers at once, a check researchers previously worked through by hand.

Optimized search

Optimized search algorithms explore possible reagent combinations quickly, so researchers do not test options one by one.

What we did

A recommendation engine built on statistical modeling and optimized search suggests compatible reagent combinations, cutting panel design from days to minutes.

Sponsored by BD's platform management, Wildstream developed a recommendation engine that combines statistical modeling with optimized search algorithms. Researchers set out what their panel needs, and the engine suggests reagent combinations that are compatible with each other and with the lasers, so researchers can move from panel design to experiment much sooner.

How it works
  1. The researcher defines what the panel needs to measure
  2. Statistical models assess compatibility between reagents and lasers
  3. Optimized search explores the possible reagent combinations
  4. The engine suggests compatible combinations
  5. The researcher finalizes the panel in minutes
Key capabilities

Compatibility modeling

Statistical models estimate how well reagents work together and with each laser, so conflicts show up before lab work.

Combination search

Optimized search algorithms narrow a large set of possible reagent combinations down to the ones that are compatible.

Panel recommendations

Researchers receive suggestions for compatible reagent combinations instead of building every panel from a blank sheet.

Technology
  • Statistical modeling
  • Optimized search algorithms
Impact

Compatible multi-color flow cytometry panels, suggested in minutes instead of designed over days

Experiments start sooner

Researchers move from panel design to running flow cytometry experiments much sooner than with manual compatibility checks.

Expertise built in

Compatibility knowledge is built into the engine, so less experienced researchers can also design complex panels with confidence.

Fewer design errors

Checking every combination systematically reduces the risk of incompatible reagents slipping into a panel and spoiling a run.

Bring us a challenge like this

Tell us where your operations still depend on manual work, and we will tell you what is worth building first.