Research project

COSIR

Monitoring of cell cultures is mostly done with single measurements at different times. Intermediate states have to be inferred from these known time points. In addition, these measurements often interfere with the cultures, e.g., when samples are taken, which might lead to unexpected effects especially for sensitive cell types.

The goal of COSIR is, to develop a compact system for continuous monitoring of cell cultures. It is supposed to acquire data about the current cell growth and state without taking samples or other external influence.

The system will contain different optical and chemical sensors and acquisition devices. The acquired signals will be processed with innovative image processing methods, to automatically generate quantitative as well as qualitative information (for example, number of cells or oxygen concentration).

It will be universally applicable for expansion of animal cells, media optimization or toxicity tests. The main application will be the pharmaceutical development of new drugs, in research laboratories as well as in toxicity testing.

Project manager:
Dr. Gernot John

Project participants:
Simone Gaffling, M. Sc., Dr.-Ing. Simon Schöll, Dipl.-Ing. Björn Sommerfeldt, Dr.-Ing. Firas Mualla

Keywords:
Cell Culture; Online-monitoring; Chemical-optical Sensors; Image Processing

Duration: 1.1.2011 - 31.12.2013

Sponsored by:
Bayerische Forschungsstiftung

Publications

Mualla, Firas ; Schöll, Simon ; Sommerfeldt, Björn ; Maier, Andreas ; Hornegger, Joachim: Automatic Cell Detection in Bright-Field Microscope Images Using SIFT, Random Forests, and Hierarchical Clustering. In: IEEE Transactions on Medical Imaging 32 (2013), No. 12, pp 2274-2286
[doi>10.1109/TMI.2013.2280380]

Mualla, Firas ; Schöll, Simon ; Sommerfeldt, Björn ; Hornegger, Joachim: Using the Monogenic Signal for Cell-Background Classification in Bright-Field Microscope Images. In: Meinzer, Hans-Peter ; Deserno, Thomas Martin (Ed.) : Proceedings des Workshops Bildverarbeitung für die Medizin 2013 (Bildverarbeitung für die Medizin 2013 Heidelberg 03.03.2013). Heidelberg : Springer, 2013, pp 170-174.