Umetrics® Studio | Self-Service Data and Analytics Applications
Transform biopharmaceutical data into insights with Umetrics® Studio, a tailored cloud analytics platform for biopharmaceutical applications. Featuring Cell Insights for advanced cell growth and behavior modeling and Scibox® for deep data exploration, Umetrics® Studio is designed to fast-track innovation and streamline your processes. Elevate your analytics game to make faster, more confident decisions and unlock a new realm of possibilities.
Adaptive analytics deliver immediate insights for agile decision-making.
Work together seamlessly with global team collaboration, data sharing, and analysis.
Safeguard data with state-of-the-art security measures inherent in the cloud infrastructure.
Cell Insights by Umetrics® Studio Use Cases
In Silico Simulations. Actionable Insights.
Cell Insights by Umetrics® Studio takes your experiments further by expanding upon information from in vitro experiments with in silico simulations. This provides actionable insights on optimizing the cell culture performance with streamlined, ready-to-use workflows accessible to more diverse user experience levels. It delivers intelligent cloud deployment options and self-service data analytics to reduce upstream process development timelines and costs with minimal cost-of-ownership.
Cell Insights by Umetrics® Studio is an advanced data analytics application that uses mechanistic models to generate bioreactor simulations for CHO and HEK-293 cell applications.
Choose the best cell line for intensified processes
Quickly forecast performance in fed-batch, perfusion and N-1 cell culture methods to choose the best cell line without having to perform multiple in vitro experiments.
Select optimal cell culture process parameters
Save time by using in silico simulations to understand how process parameter adjustments (e.g. feed additions, setpoint changes) impact cell growth, metabolism, accumulation of biomaterials, and productivity.
To accommodate bioprocess scientists who have limited development time and resources, Cell Insights Consultancy Service packages are available alongside the Cell Insights by Umetrics® Studio software application.
These Consultancy Service packages are delivered by the Sartorius Digital Solutions Applications Engineering team and cover a selection of advanced use cases. They offer the benefits of Cell Insights by Umetrics® Studio and the Umetrics® Suite, while eliminating the need for scientists to unlock the value themselves.
Other Consultancy Packages focusing on Umetrics® Suite are also available, including packages for Data Analysis Scaling, Tech Transfer, and Sustainability, among many others.
Umetrics® Studio | Scibox®
Elevate Your Expertise
Meet Scibox®, the Umetrics® Studio hub for biopharmaceutical data analytics. Scibox® is a user-friendly platform for scientists to analyze, understand, and refine processes. It allows you to automate tasks and build custom applications to boost efficiency and speed up discoveries. By combining easy analytics with advanced data science, Scibox® turns data into breakthroughs.
Access new process insights for more intelligent decision-making.
Streamline workflows with smart, automated data analysis.
Create custom applications for integrated, tailored analytics, deployable in the cloud or on-premise.
Benefit from scale expertise, democratize analytics, and boost collaborative innovation.
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FAQs
In silico modeling is a method of using computer simulations to study complex systems, such as cells, in a virtual environment.
Mechanistic modeling uses the fundamental laws of natural sciences to predict what will happen in the real world. Cell Insights® by Umetrics Studio utilizes mechanistic knowledge about kinetic cellular behavior to generate accurate predictions about cell growth, death, and productivity.
Monod kinetics refers to the mathematical model that is used to study cell growth and metabolism in silico. The Monod kinetics model describes the relationship between the growth rate of a microorganism population and the concentration of the limiting nutrient in the environment.
µ is the growth rate of a considered microorganism
µmax is the maximum specific growth rate coefficient
[S] is the substrate concentration
KS is the concentration where µ = ½ µmax
To perform basic simulations, at a minimum, the following data is needed:
- One dataset from a screening experimental design, containing sufficient variations in growth
- Data should show batch evolution (data over time)
- In .csv or Excel format
Required variables: Batch ID, time, viable cell density, viability, volume
Optional variables: Process inputs (e.g. DO, pH, temp), metabolites (e.g. glucose, lactate, glutamate), titer, feed, media composition
Using larger datasets will unlock more advanced simulations and is needed to adapt the models to other mammalian cell lines.
An advanced data analytics ecosystem is a single touchpoint for data analytics and management. The ecosystems contain all the necessary tools to ingest, prepare, and discover from data.
Cloud-native technologies empower organizations to build and run scalable tools in private, public, or hybrid cloud environments.
Software as a service (or SaaS) is a software distribution model in which a cloud provider hosts applications and makes them available to end users over the internet.
Please visit https://docs.umetrics.studio/ for further information on Umetrics®️ Studio.
