How to handle data from living cells
- Sponsored by: cellasys GmbH
- Project Lead: Dr. Ricardo Acevedo Cabra
- Scientific Lead: Dr. Joachim Wiest
- Co-Mentor: Dr. Stephan Haug Head of the statistical consulting unit TUM|Stat
- Term: Summer semester 2019
Results of this project are explained in detail in the final documentation and presentation.
cellasys is a spin-off from Technische Universität München; was founded in 2007 and works at the interface between electronic engineering and life sciences. cellasys delivers system solutions for microphysiometry. The systems monitor different parameters directly from living cells. These parameters include extracellular acidification (pH), cellular respiration (pO2) and morphology (impedance). The measurement is label-free, parallel, continuous and in real-time. With the BioChip technology you can e.g. determine the efficacy of a drug outside of humans (or animals) directly on living cells.
With the development of microphysiometric systems [1], new data at the interface between engineering and biology can be generated. Protocols can be used to determine the eye irritation potency of new chemicals and replace animal experiments. However, these data contain noise due to the measurement system and are hard to be interpreted in its raw form. A first set of algorithms for quality evaluation, signal filtering, rate extraction and statistical tests were developed [2]. In the proposed project the existing algorithms will be optimized and further developed toward relevant interpretation / prediction models.