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 Use Cases

Combine in vitro experiments with in silico simulations conducted in a virtual bioreactor to speed up upstream process development.

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Umetrics® Studio

Maximize knowledge, optimize performance, and cut timelines and costs via a single touchpoint, a cloud-native data analytics and management ecosystem.

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Make every dollar count

On average, labs can spend up to $60,000 per month on cell culture development experiments*. By adding in silico you can run twice as many projects with your existing set-up, doubling your PD output. 
*Assuming 48 bioreactor runs using 16 SU reactors

Be first to market by enhancing experiments with fast in silico simulations

Cutting your timelines in half allows you to be that first-to-market player that enjoys a bigger market share even 10 years later – 6% higher than any rival**.
**Source: EvaluatePharma

Bioreactor-agnostic insights across modalities

Ensure optimal cell culture performance, regardless of the cell-based modality and independent of the bioreactor brand and model.

Data-driven decisions based on mechanistic models

Enhance decision-making by coupling in vitro cell culture experiments with machine learning and mechanistic knowledge of cell behavior and pathways. 

Advanced data analytics made easy

Pre-developed simulation workflows with easy-to-use interfaces enables access to advanced modeling beyond data scientist expertise levels.

Cell Insights by Umetrics® Studio is offered as a hosted cloud (SaaS) solution

Running digital operations in a cloud-native environment minimizes IT support by enabling fast and easy maintenance, scale-out and upgrades.  Cell Insights by Umetrics® Studio is offered both as a private and public cloud (SaaS) solution.

Cell Insights by Umetrics® Studio Use Cases

Cell Insights by Umetrics® Studio is an advanced data analytics application that uses hybrid models to generate bioreactor simulations. It supports a variety of cell-culture development use cases:

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.

Optimize intensified feeding protocols

Rely on in silico simulations to know how media exchange rates impact cell growth to quickly design optimal intensified feeding protocols.

Set up your seed train configuration

Minimize experiments to learn how seed duration, number of passages, and culture methods impact cell growth to design optimal seed train configurations.

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On-Demand Presentations | Data Analytics User Meeting 2022

Learn from our customers how to solve business critical problems by putting data to work and get insights into the next generation Umetrics® products.

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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. 

Yes, Cell Insights by Umetrics® Studio can be used to model a variety of cell-based processes so long as it follows Monod growth kinetics.

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. 

Related Blog Articles

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Jul 05, 2022 | 5 min read

Using Hybrid Modeling to Generate In-Silico Bioreactor Simulations for Faster Upstream Process Devel...

Leveraging bioreactor simulations based on hybrid modeling, which combines knowledge of cell mechanisms with actual process data, can help shorten upstream process development timelines and cut costs.

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Dec 05, 2022 | 6 min read

The Best of the Sartorius Data Analytics User Meeting 2022

This year’s Sartorius Data Analytics User Meeting in Jersey City, NJ, delivered two days of exciting events and talks featuring the Umetrics® Suite of Data Analytics solutions.



Optimized Upsteam Development - Actionable Insights Through In Silico Simulations

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Condition Optimization for Perfusion Processes

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Condition Optimization for Fed-Batch Processes

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Umetrics® Studio Data Analytics Ecosystem

The Umetrics® Studio ecosystem makes advanced data analytics available to everyone by leveraging streamlined data analytics workflows with effortless setup procedures, enabling data-driven decisions at every skill level. Design your own digital journey with a flexible, modular, self-service turn-key ecosystem tailored for biopharmaceutical process development and manufacturing that grows to meet your evolving needs. 
The Umetrics® Studio ecosystem has a modern cloud-native and cloud-agnostic architecture, eliminating data silos and reducing high IT infrastructure costs. Umetrics® Studio can be deployed as a hosted cloud (SaaS).

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The Umetrics® Studio data analytics ecosystem contains three main components:

Insights Applications

A growing library of solution-focused applications with predefined workflows and dedicated interfaces. Cell Insights is the first available Insights application. Future Insights applications will be uploaded, distributed, and purchased through the Umetrics® store.


Offers a range of predeveloped tools for generic data analysis as well as the power to create your own automated analytics workflows using easy-to-use visual programming. Umetrics® Scibox® enables users to process, visualize, model, analyze, and share data for improved planning and decision making.


Application programming interface (API) that enables organizations, partners, and internal Sartorius divisions to build custom Umetrics® Studio integrations and applications.


How to Optimize Cell Lines to Realize the Promise of PI

In silico simulations can reduce the development time of early-stage intensified upstream processes. In this webinar, Sartorius introduces an advanced data analytics application that minimizes experimental efforts. 

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Highlight Assets


Umetrics® Scibox® Create

The Create functionality within the Umetrics® Scibox® enables the development of customized workflows that can be deployed through Umetrics® Studio as applications to other users within the organization.

Watch this video to get a preview of the Umetrics® Scibox® Create functionality.

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Umetrics® Scibox® Explore

The Umetrics® Scibox® provides a powerful toolset to data scientist to process, visualize, model, and analyze data.

The Explore functionality within the Umetrics® Scibox® allows to perform model-assisted system exploration and understanding to quickly justify acceptable ranges and quality differences and link process parameters to quality attributes.

Watch this video to get a preview of the Umetrics® Scibox® Explore functionality.

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Consult Our Experts

Consult Our Experts

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