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COSIRMonitoring 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 |
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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. |
Institution: Chair of Computer Science 5 (Pattern Recognition)
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