The Sensor Platform to Simplify Your Bioprocessing

Bioprocessing without the Guesswork

Biomass, pH, and Dissolved Oxygen Sensors For Cell Culture And Microbial Fermentation and Automated Feeding

Scientific Bioprocessing (SBI) is dedicated to developing cutting-edge digital technologies (e.g., sensors, actuators and software) that simplify bioprocessing activities. Say goodbye to under-sampled and black box cultures and hello to real-time, non-invasive, automated, and online sensing. Our solutions feature sensors and software that:
  • Generate high-resolution growth curves in real-time to provide you with actionable insights.
  • Save you hours of manual, hands-on time required for alternative offline approaches.
  • Enable you to use nights or weekends for experiments.

Explore the Sensors & Actuators of the DOTS Platform

Cell Growth Quantifier (CGQ)

Non-invasive, real-time monitoring of biomass in shake flasks and bottles via backscattered light detection.

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CGQ - BioR

Non-invasive and real-time monitoring of biomass in bioreactors via backscattered light detection.

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Liquid Injection System (LIS)

Automated and parallelized feeding of liquids in shake flasks.

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Flow Cell

Continuous monitoring of pH and dissolved oxygen (DO) in flow loops via optical sensors.

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Powered by DOTS Software

DOTS Software is your tool for easy handling of sensors, actuators, and bioprocess data, offering total control, from calibration to data collection.

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Trusted by Labs and Universities Across the Globe...

SBI Success Table
"The CGQ provided accurate growth curves with very dense sampling intervals and gave us the opportunity to identify differences in growth behaviors."

- Prof. Dr. Lars Blank (RWTH Aachen)
RWTH Aachen
SBI Success Table
"The backscatter data we gathered here with the CGQ system clearly shows a match with another growth characterisation parameter, in this case with the oxygen transfer rate (OTR)."

- Frédéric Lapierre (HS München)
HS München
SBI Success Table
"The CGQ BioR system provides precise growth curves with a very dense sampling interval, freeing my team for tasks with higher added value"

- Dipl. Ing. Andreas Hoffman (Technical University Dresden)
Technical University Dresden

Want To Connect The DOTS In Your Bioprocessing?