
Cell Growth Quantifier (CGQ)
The CGQ is an optical sensor-based technology for non-invasive online biomass monitoring in shake flasks.
Overview
Monitor biomass and growth rates in your bioprocess with high resolution using the CGQ. Optical biomass measurements are based on backscattered light detection without the use of integrated sensors. Simply install the sensor plate under the shake flask and monitor the biomass through the vessel floor. Follow the growth of your cultures in real-time to gain actionable insights into your strain’s growth behavior.
- Save time with automated, online, non-invasive biomass monitoring in many flasks in parallel
- Reduce the risk of contamination and interruptions of your cultivation
- Monitor additional parameters: Local temperature and shaking speed for every flask
- Gain actionable insights with high resolution growth curves
- Powerful DOTS Software for easy sensor handling and real-time data visualization
What Our Customers Are Saying
-Prof. Dr. ir. Eveline Peeters (Vrije Universiteit Brussel, Belgium)

-Raul Reveles (Senior Bioprocessing Engineer, Bond Pet Foods)

How It Works
The CGQ’s technique for non-invasive cell density monitoring is based on the principle of light backscattering.
Using LEDs and photodiodes, the CGQ sensor emits light through the vessel wall and measures the amount of light that is scattered back. The more cells that are in the medium, the more light is scattered back. This backscattered signal can be correlated with offline cell density data, such as OD600 or cell dry weight (CDW).
CGQ Sensing
Architecture

The sensor plate of the CGQ contains an LED light source and a photodiode detector. The CGQ’s innovative measuring method treats the signal fluctuations from the moving bulk liquid due to shaking as a valuable information source rather than noise.
Biomass Monitoring by Backscattered Light

Light is emitted from the LED into the culture medium. While most photons go straight through the broth, some are scattered by the cells and return to the photodiode, which measures the scattered light intensity. The higher the cell density, the more light is scattered back to the photodiode.
Hardware & Software Components
CGQ Sensor

Each sensor plate is positioned under the cultivation vessel and measures the biomass non-invasively through the vessel wall.
CGQ Hub

Several sensor plates can be connected to a single hub. The CGQ hub bundles the data from all monitored flasks and sends it to the DOTS Software.
DOTS Software

The DOTS Software receives the data from the hub and visualizes backscattered light intensities in real-time, providing high-resolution growth curves.
Specifications

Compatible Laboratory Infrastructure
The CGQ is compatible with a variety of vessel types. An available adapter system provides maximum flexibility, allowing the same sensor plate to be used with different shake flask sizes.
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Any shake flask size ranging from 100 ml to 5000 ml
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Flasks with or without baffles
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Glass and single-use flasks
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Spring clip and Sticky Mat mounts
Example Organisms Successfully Monitored with CGQ Technology
Bacteria
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Escherichia coli
-
Corynebacterium glutamicum
-
Bacillus subtilis
-
Pseudomonas putida
-
Pseudomonas taiwanensis
-
Gluconobacter oxydans
-
Lactobacillus plantarum
-
Vibrio natriegens
-
Vibrio cholerae
-
Staphylococcus aureus
-
Klebsiella pneumoniae
-
Actinobacillus pleuropneumoniae
-
Chromobacterium violaceum
-
Blautia producta
-
Hungtatella hathewayi
-
Prevotella copri
Yeast
-
Saccharomyces cerevisiae
-
Schizosaccharomyces pombe
-
Pichia pastoris
-
Yarrowia lipolytica
-
Kluyveromyces lactis
-
Hansenula polymorpha
-
Ustilago maydis
Filamentous organisms
-
Aspergillus fumigatus
-
Aspergillus nidulans
-
Aspergillus niger
-
Streptomyces acidiscabies
-
Streptomyces venezuelae
-
Trichoderma reesei
Archaea
-
Haloferax volcanii
-
Sulfolobus acidocaldarius
Anaerobic organisms
-
Acetobacterium woodii
-
Clostridium aectobutylicum
-
Clostridium ljungdahlii
-
Clostridium difficile
Phototrophic organisms
-
Chlorella vulgaris
-
Scenedesmus obliquus
-
Synechococcus elongatus
-
Nicotiana tabacum BY-2 (plant cells)

Compatible Laboratory Infrastructure
The CGQ is compatible with a variety of vessel types. An available adapter system provides maximum flexibility, allowing the same sensor plate to be used with different shake flask sizes.
-
Any shake flask size ranging from 100 ml to 5000 ml
-
Flasks with or without baffles
-
Glass and single-use flasks
-
Spring clip and Sticky Mat mounts
Example Organisms Successfully Monitored with CGQ Technology
Bacteria
-
Escherichia coli
-
Corynebacterium glutamicum
-
Bacillus subtilis
-
Pseudomonas putida
-
Pseudomonas taiwanensis
-
Gluconobacter oxydans
-
Lactobacillus plantarum
-
Vibrio natriegens
-
Vibrio cholerae
-
Staphylococcus aureus
-
Klebsiella pneumoniae
-
Actinobacillus pleuropneumoniae
-
Chromobacterium violaceum
-
Blautia producta
-
Hungtatella hathewayi
-
Prevotella copri
Yeast
-
Saccharomyces cerevisiae
-
Schizosaccharomyces pombe
-
Pichia pastoris
-
Yarrowia lipolytica
-
Kluyveromyces lactis
-
Hansenula polymorpha
-
Ustilago maydis
Filamentous organisms
-
Aspergillus fumigatus
-
Aspergillus nidulans
-
Aspergillus niger
-
Streptomyces acidiscabies
-
Streptomyces venezuelae
-
Trichoderma reesei
Archaea
-
Haloferax volcanii
-
Sulfolobus acidocaldarius
Anaerobic organisms
-
Acetobacterium woodii
-
Clostridium aectobutylicum
-
Clostridium ljungdahlii
-
Clostridium difficile
Phototrophic organisms
-
Chlorella vulgaris
-
Scenedesmus obliquus
-
Synechococcus elongatus
-
Nicotiana tabacum BY-2 (plant cells)
From Estimation To High-Resolution Growth Curves
Why CGQ for your Shake Flasks?
Manual sampling-based data is often not sufficient to fully understand the bioprocess. Offline sampling is complex and time consuming, resulting in lower measurement frequency with most pulls being at the start or the end of the experiment. This means that critical information from your growth phases are being overlooked, and could have a detrimental impact on your final product. Automated online measurements, on the other hand, never miss a moment. With a high resolution growth curve, you can detect bioprocess changes in real-time.


Customer Success Stories

-Dr. Julia Hitschler (University of Frankfurt)


-Frédéric Lapierre (HS München)
