Revolution of Total Cell Density Measurement
Total cell density measurement by the Dencytee sensor is based on optical density, commonly known as the turbidity of a suspension at near-infrared (NIR) wavelengths. All particles and molecules that scatter the NIR light will be detected. This optical density signal can be correlated to the total cell density measured by different offline measurement techniques. Find out more about Hamilton’s Dencytee and Dencytee Arc sensors and their unique measurement modes.
Dencytee Arc sensors enable real-time, in-situ measurement of total cell density using transmittance and reflectance of near-infrared light in low and high cell density applications. Guided in-line/off-line correlation modeling, using the ArcAir software, facilitates the creation of a total biomass sensor. Reduce off-line sampling and increase the reliable optical density measurement range.
Never Miss an Important Process Event
High resolution, continuous measurement technology enables real-time measurement of the bioprocess, improving process understanding.
Real-time total biomass measurement in-process enables automation and control strategies. Reduce manual intervention by automating process steps such as induction, feeding, or harvest timing.
Correlate to Offline Biomass Measurements
With Dencytee Arc, a built-in correlation model provides a robust link between the in-line optical density signal and commonly used off-line measurements of biomass. Enables real-time, in-situ data of off-line biomass concentrations.
Strengthen the Reliability of the TCD Measurement Results
Monitor every event in your process to enable efficient process control. Simplify and automate process steps like induction, feeding, or harvesting.
Reduce long off-line analysis in the laboratory. Reduce human error introduced by excessive sample handling. Increase efficiency and measurement quality.
Easy Transmitterless Integration
Hamilton Arc technology enables seamless integration to a control system, PLC, or DCS without a bulky transmitter. Leverage the Arc platform to perform maintenance and configuration with ArcAir™ software.
Review Hamilton's Cell Density Applications Ebook
Hamilton cell density sensors are compatible with many types of cell lines and microbial strains, process types, and industries. Read more below or download our Cell Density Applications eBook to see real data with different cell lines and process types.
Hamilton Application Team Support
Hamilton evaluates your application to recommend quick-start measurement settings.
Follow Hamilton’s standard protocol to ensure robust and reliable data sets.
Hamilton’s Application Team can support your analysis and generate a comprehensive report with useful insights.
Brochure - Viable and Total Cell Density SensorsDencytee Arc sensors enable real-time, in-situ measurement of total cell density using transmittance and reflectance of near-infrared light in low and high cell density applications. Guided in-line/off-line correlation modeling, using the ArcAir software, facilitates the creation of a total biomass sensor. Reduce off-line sampling and increase the reliable optical density measurement range.
Programmers Manual - Dencytee RS485 SensorsProgrammers Manual for Dencytee RS485 Sensors
Cell Density Knowledge Base Articles
Dencytee Arc Verification and Service CalibrationHamilton’s intelligent in-line sensors are designed to record and transmit diagnostic data, including verification information. The verification ensures that a sensor is functioning properly.
Dencytee Arc Measurement UnitsDencytee Arc monitors in-line optical density (OD) in a wide range of processes. The total biomass sensor detects both live and dead cells, along with any debris or particulates which block light.
Dencytee Arc Total Cell Density Measurement PrincipleOptical density (OD, sometimes called turbidity) is commonly used to estimate the total biomass or concentration of cells within a suspension. Cell concentrations are important to monitor in fermentation processes to detect and correct for process deviations.
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