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Indirect Temperature Measurement and Control Method for Cell Culture Devices

Research output: Contribution to journalArticleScientificpeer-review


Original languageEnglish
Pages (from-to)420-429
JournalIEEE Transactions on Automation Science and Engineering
Issue number2
Early online date21 Oct 2016
Publication statusPublished - Apr 2018
Publication typeA1 Journal article-refereed


Microfluidic devices are promising tools with which to create an environment that mimics a cell's natural microenvironment more closely than traditional macroscopic cell culture approaches. In these devices, temperature is one of the most important environmental factors to monitor and control. However, direct temperature measurement at the cell area can disturb cell growth and potentially prevent optical monitoring, and is typically difficult to implement. On the other hand, indirect measurement could overcome these challenges. Therefore, using the system identification method, we have developed models to estimate the cell area temperature from external measurements without interfering cells. In order to validate the proposed models, we performed large sets of experiments. The results show that the models are able to catch the dynamics of temperature in a desired area with a high level of accuracy, which means that indirect temperature measurement using the model can be implemented in the future cell culture studies. The usefulness of the model is also demonstrated by simulations that use estimated temperature as a feedback signal in a closed-loop system. We also present tuning of a model-based controller and a noise study, which shows that the tuned controller is robust for typical ambient room temperature variations.


  • Area measurement, Heating, Mathematical model, Temperature measurement, Temperature sensors, Control, microfluidics, numerical simulation, system identification, thermal analysis.

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