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High Throughput Experimentation (HTE)

Consolidate your HTE data, from experimental design to final decision, in one interface. Automatically connect analytical results to each experiment for quick, confident decisions.

Challenges of High Throughput Experimentation

HTE workflows are scattered across many systems

Scientists often use many software interfaces to get from experimental design to final decision. Valuable time is spent on data entry, and errors arise as data is transcribed from program to program.

Experiment time is lost to configuring equipment

Manual intervention is typical for most HTE groups at some point in the workflow. Even when labs are equipped with robotics for experiment execution, analysis usually means manually setting up samples.

Experiments are disconnected from analytical results

Connecting analytical data back to the experiment is a manual process. Comparing and reviewing results is slow and time-consuming.

Software is not chemically intelligent

Statistical design software does not accommodate chemical information. Separate software is needed to display and review chemical structures, so the scientist can ensure the experimental design covers the appropriate chemical space.

Reprocessing of analytical data is tedious

Most HT scientists find they need to reprocess analytical data. When methods are not optimized for high throughput experiments this can mean 50% of the data or more. Reprocessing analytical data means opening each dataset in the instrument software for manual reprocessing, one at a time.

From design to decide, carry out entire high throughput workflows in a single interface. With all your information in one place, you won’t lose experiment time manually transcribing/connecting data or configuring equipment. You can even export instruction lists for manual steps like the preparation of stock solutions.

Like using a particular software?

That’s not a problem. We work with a variety of third-party systems to import and/or export data. These include the design of experiments (DoE) software, inventory systems, automated reactors, dispensing equipment, data analytics software, statistical software, and data science applications.

  • See the identity of every component in each well. Reaction schemes may be displayed as structures or text.
  • Save an experimental design as a template for re-use in similar experiments
  • Input pre-dispensed kits (plates) directly into the experiment to get started quickly
  • The identity of each component in the experiment is stored for each reaction in the array, allowing for automatic targeted analysis of spectra

Our software reads >150 instrument vendor data formats. Our expertise in analytical data helps you automate data analysis too.

We integrate with the analytical instruments on your network to sweep data (including LC/UV/MS and NMR), automatically process and interpret it, and display the results for visualization. See everything in one interface. Stack data for comparison and review. Create plots to extract trends.

With analytical results linked to each well in the HTE plate, you won’t spend hours arranging and organizing data and double-checking that results are connected to the correct well. You can concentrate on making decisions.

Is there an important peak in your spectrum that wasn’t integrated or labelled? Is a value missing?

You don’t need to open another application to reprocess your data. Directly reanalyze the whole plate or a selection of wells.


Customer Reviews
“Colleagues not skilled with HTE were able to design a 96-well experiment in less than 5 minutes and get into the lab to run them the same day with Katalyst D2D.”

Kevin Arendt
Scientist I, Bristol Myers Squibb

“Katalyst [D2D] gives us the flexibility to identify the best reaction conditions using the heat map and well-size visualization available, or by creating charts and plots of our own.”

Kayleigh Mercer
Investigator, Externalisation and Technical Excellence team, Medicinal Chemistry, GSK

“Our objective with [Katalyst D2D] was to get from experiment to insight, to decision more quicky. The key is an association of analytical results to all the experimental conditions associated with a well or experiment.”

Neal Fazakerley
Scientific Team Leader, GSK

“Katalyst ensures that our HT data is captured correctly for AI/ML purposes. It’s high quality, consistent data—including reaction conditions, yields, side-product formation, and outcomes—that we can use directly to build robust predictive models.”

Iulia Strambeanu
Head of High-Throughput Experimentation, Global Discovery Chemistry, Johnson & Johnson

Learn More about High Throughput Experimentation