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The All-New DryLab-Empower Automation Module.

What is DryLab?

DryLab is a revolutionary HPLC method modeling software from scientists for scientist. Based on first principles, DryLab visualizes the chromatography within your analytical Design Space with only one click*.

DryLab runs independent of any particular CDS. Chromatographic data can be imported using the vendor-independent .cdf (AIA) format. A new, seamless and automated connection is available for Waters‘ Empower 3 CDS.

* Based on only 12 input runs, DryLab accurately models a Design Space of more than a million possible workpoints.

DryLab's Empower-Automated AQbD Modeling Workflow

Let Automation Make Your Life So Much Easier. 

DryLab connects seamlessly to your Empower CDS and handles data transfers and data acquisitions on all levels of its method modeling workflow. Sample Sets are generated automatically, completed runs are collected and processed without the risk of manual input errors.

Learn more about data exchange between the systems and how it is performed seamlessly on different levels of DryLab’s method modeling workflow:

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I. Creation and Import of Input Experiments

Upon choosing a particular DOE, DryLab’s Automation Module generates a SampleSet in the selected project folder in Empower to be accessed and run after login. It does so in a way that aligns runs in the best order and with equilibration steps in between.

Furthermore, the new module allows retrieving results along with additional peak information such as tailing factors and various peak-width measures for an enhanced modeling outcome. Also, the identification of peaks is facilitated also transferred, providing a fully automated peak-tracking process.

II. Confirmation of Model Fidelity

Running confirmation runs for a selection of points in the Design Space is pivotal to prove the DryLab Model’s fidelity and is done by comparing modeled and real chromatograms. With the automation, any point within the model can instantly be performed, even in case of any changes in gradient properties, ternary composition, pH, temperature, flow-rate, etc.

III. Reproduction of Designated Runs From the Virtual Robustness Calculation

To prove that the in-silico robustness calculation yields highly consistent, representative results, the automation module can similarly be employed to run selected results from the robustness calculation.