Date:
March 28–31, 2022
Location:
Language:
Berlin-Mitte at the Langenbeck-Virchow-Haus
English
Abstract:
Multi-Vendor Test Automation to Support Process Automation
The laboratory of the future consists of an increasing number of connected devices and software applications that must interoperate with one another (e.g., LIMS, eLN, workflow scheduler, lab instruments, mobile robots). While the software and interfaces are individually tested by the vendors, it is up to the user—or a third-party integrator—to ensure that the devices and software applications function properly together. Updates to one or more systems can quickly disrupt automated processes. However, failing to install updates poses an increasing security risk in the connected lab of the future. To ensure the robustness of automated processes in particular, they must be retested after each update to verify the interoperability of every entity involved—ideally all the way up to the user level, i.e., at the graphical user interface (GUI) level. This complex testing procedure is hardly feasible within the required cycles and timeframes and must be automated to enable secure and robust automated processes.
Therefore, automated testing at the GUI and application interface (API) levels has great potential to enhance process security, robustness, and flexibility, and is thus key to high-throughput R&D and minimal downtime in production.
Here we present the possibilities of automated testing. As an example, we use a state-of-the-art bioprocess automation system involving multiple instrument vendors, in combination with third-party and in-house software applications, and apply it in a regulated environment.
More details about the event can be found here.
Our talks and presentations:
March 30, 2022, at 3:55 p.m.
Our Experts:
Jan Dahinden
Data Science Consultant at wega Informatik AG, Switzerland.
Jan holds a dual degree in computational biology and bioinformatics from ETH Zurich, the University of Zurich, and the University of Basel.
Early in his career, he focused on applying machine learning models to discover antibodiesin silicoand on optimizing therapeutic antibodies using deep learning.
In 2020, Jan joined wega as a data science consultant, where he helps companies make the most of data science applications. His interests span the entire field of data science and include the automation of various processes, the application of machine learning in the life sciences industry, the visualization of data and processes, and much more.
Sebastian Gross
Dr. Sebastian Groß is a consultant at wega Informatik (Deutschland) GmbH, specializing in laboratory automation, equipment integration, laboratory digitization, and data management. As a biotechnologist by training, he has a comprehensive understanding of biological and technical processes. During his doctoral studies, he built a high-throughput cultivation system for the development of bioprocesses, modeled it, and combined automation and modeling to create an autonomously operating system. Since joining wega in November 2021, he has remained true to his passion for improving laboratory processes through intelligent digitization and connectivity.
Sabrina Leuenberger
Dr. Sabrina Leuenberger works as a business analyst and test engineer at wega Informatik AG in Switzerland.
Sabrina holds a dual degree in biology and business informatics from the University of Basel and the University of Applied Sciences Northwestern Switzerland.
Her interests focus on defining IT solutions in the life sciences sector to address various needs and achieve a wide range of objectives, particularly in the context of digital transformation.
Starting with strategy and applying business analysis methods, all the way through to the detailed description of the final solution using executable test cases, she works to create added value that integrates seamlessly into the existing system landscape.