Details
Original language | English |
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Title of host publication | Animal Cell Biotechnology |
Subtitle of host publication | Methods and Protocols |
Pages | 343-353 |
Number of pages | 11 |
Publication status | Published - 20 Nov 2013 |
Publication series
Name | Methods in Molecular Biology |
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Volume | 1104 |
ISSN (Print) | 1064-3745 |
Abstract
This protocol regards a microscopic application and software for image-guided monitoring of mammalian cells which grow in suspension cultures. It has been developed in order to establish an automated microscopic application for in situ and at-line cell monitoring in bioreactors (Akin et al., Biosens Bioelectron 26:4532-4537, 2011; Babitzky et al., At-line microscopic analysis of suspension cell cultures. In: ECCE/ECAB, the first joint European Congress of chemical engineering and applied biotechnology, September 25-29, 2011, Berlin, Germany, 2011. http://www.tci.uni-hannover.de, Poster). The application aims to assess the analysis of an appropriated sample volume of mammalian cell cultivation medium. The sample is injected into a microfluidic slide which is suitable for transmitted light microscopy and is attached to an automated microscope device, the at-line microscope. The major attribute of microscope automation ascribes to the camera software, which enables sequential image capturing and storing. Image analysis and cell detection are performed by the software that is based on the edge detection algorithm developed by Canny (IEEE Trans Pattern Anal Mach Intell 8:679-698, 1986; Finding edges and lines in images.Technical Report 720, MIT Artificial Intelligence Laboratory, 1983). The analysis results are cell count, morphological characteristics, and grayscale values of the detected cells. The presented setup can be applied to low-volume cultivations and has been successfully tested for monitoring CHO-K1 cell cultivation processes.
Keywords
- At-line cell monitoring, At-line microscopy, Cell monitoring, CHO-K1 cells, In situ cell monitoring, Microfluidic slide, Suspension cell cultures
ASJC Scopus subject areas
- Biochemistry, Genetics and Molecular Biology(all)
- Molecular Biology
- Biochemistry, Genetics and Molecular Biology(all)
- Genetics
Cite this
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Animal Cell Biotechnology: Methods and Protocols. 2013. p. 343-353 (Methods in Molecular Biology; Vol. 1104).
Research output: Chapter in book/report/conference proceeding › Contribution to book/anthology › Research › peer review
}
TY - CHAP
T1 - Cell Assessment by At-line Microscopy
AU - Babitzky, Alexander
AU - Lindner, Patrick
AU - Scheper, Thomas
PY - 2013/11/20
Y1 - 2013/11/20
N2 - This protocol regards a microscopic application and software for image-guided monitoring of mammalian cells which grow in suspension cultures. It has been developed in order to establish an automated microscopic application for in situ and at-line cell monitoring in bioreactors (Akin et al., Biosens Bioelectron 26:4532-4537, 2011; Babitzky et al., At-line microscopic analysis of suspension cell cultures. In: ECCE/ECAB, the first joint European Congress of chemical engineering and applied biotechnology, September 25-29, 2011, Berlin, Germany, 2011. http://www.tci.uni-hannover.de, Poster). The application aims to assess the analysis of an appropriated sample volume of mammalian cell cultivation medium. The sample is injected into a microfluidic slide which is suitable for transmitted light microscopy and is attached to an automated microscope device, the at-line microscope. The major attribute of microscope automation ascribes to the camera software, which enables sequential image capturing and storing. Image analysis and cell detection are performed by the software that is based on the edge detection algorithm developed by Canny (IEEE Trans Pattern Anal Mach Intell 8:679-698, 1986; Finding edges and lines in images.Technical Report 720, MIT Artificial Intelligence Laboratory, 1983). The analysis results are cell count, morphological characteristics, and grayscale values of the detected cells. The presented setup can be applied to low-volume cultivations and has been successfully tested for monitoring CHO-K1 cell cultivation processes.
AB - This protocol regards a microscopic application and software for image-guided monitoring of mammalian cells which grow in suspension cultures. It has been developed in order to establish an automated microscopic application for in situ and at-line cell monitoring in bioreactors (Akin et al., Biosens Bioelectron 26:4532-4537, 2011; Babitzky et al., At-line microscopic analysis of suspension cell cultures. In: ECCE/ECAB, the first joint European Congress of chemical engineering and applied biotechnology, September 25-29, 2011, Berlin, Germany, 2011. http://www.tci.uni-hannover.de, Poster). The application aims to assess the analysis of an appropriated sample volume of mammalian cell cultivation medium. The sample is injected into a microfluidic slide which is suitable for transmitted light microscopy and is attached to an automated microscope device, the at-line microscope. The major attribute of microscope automation ascribes to the camera software, which enables sequential image capturing and storing. Image analysis and cell detection are performed by the software that is based on the edge detection algorithm developed by Canny (IEEE Trans Pattern Anal Mach Intell 8:679-698, 1986; Finding edges and lines in images.Technical Report 720, MIT Artificial Intelligence Laboratory, 1983). The analysis results are cell count, morphological characteristics, and grayscale values of the detected cells. The presented setup can be applied to low-volume cultivations and has been successfully tested for monitoring CHO-K1 cell cultivation processes.
KW - At-line cell monitoring
KW - At-line microscopy
KW - Cell monitoring
KW - CHO-K1 cells
KW - In situ cell monitoring
KW - Microfluidic slide
KW - Suspension cell cultures
UR - http://www.scopus.com/inward/record.url?scp=84892834957&partnerID=8YFLogxK
U2 - 10.1007/978-1-62703-733-4_21
DO - 10.1007/978-1-62703-733-4_21
M3 - Contribution to book/anthology
C2 - 24297425
AN - SCOPUS:84892834957
SN - 9781627037327
T3 - Methods in Molecular Biology
SP - 343
EP - 353
BT - Animal Cell Biotechnology
ER -