Details
| Original language | English |
|---|---|
| Pages (from-to) | 91-96 |
| Number of pages | 6 |
| Journal | Engineering in life sciences |
| Volume | 7 |
| Issue number | 1 |
| Publication status | Published - 2 Feb 2007 |
Abstract
In order to apply newly developed non-invasive in-situ microscope systems for the monitoring of microcarrier-based cultivations, appropriate image analysis systems must be available. Thus a simple, but effective greyscale distribution scan algorithm was tested for the evaluation of images generated by either a standard phase-contrast microscope or an in-situ microscope. The images were analyzed according to their greyscale pattern in order to examine whether the greyscale distribution is a possibility to gain information about the covering ratio. The mouse fibroblast cell line (NIH-3T3) was grown on different microcarrier spheres. At first, different microcarriers were tested with respect to their suitability for microscopic observation. In a second part, the phase-contrast pictures and in-situ microscope pictures of the microcarrier were separately analyzed using the histogram function of CorelPhotopaint, which analyzes the greyscale distribution within the chosen area. Due to the low optical density of the polydextrin matrix, the images of Cytodex 1 microcarriers proved to be an ideal model for the image analysis. Significant differences in the greyscale distribution of this microcarrier without cells and with increased cell density were observed. Therefore a relationship between the cell density on the microcarriers and the greyscale pattern can be assumed. After automating this image analysis and calibrating the cell number/greyscale pattern relationship, it should be possible to analyze the plating efficiency/covering ratio on the microcarrier online by in-situ microscopy.
Keywords
- Biotechnology, Cell cultures, Cell growth, Microscopy
ASJC Scopus subject areas
- Biochemistry, Genetics and Molecular Biology(all)
- Biotechnology
- Environmental Science(all)
- Environmental Engineering
- Chemical Engineering(all)
- Bioengineering
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In: Engineering in life sciences, Vol. 7, No. 1, 02.02.2007, p. 91-96.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - Preliminary Study towards the Useof In-situ Microscopy for the Online Analysis of Microcarrier Cultivations
AU - Anton, F.
AU - Burzlaff, A.
AU - Kasper, C.
AU - Brückerhoff, T.
AU - Scheper, T.
PY - 2007/2/2
Y1 - 2007/2/2
N2 - In order to apply newly developed non-invasive in-situ microscope systems for the monitoring of microcarrier-based cultivations, appropriate image analysis systems must be available. Thus a simple, but effective greyscale distribution scan algorithm was tested for the evaluation of images generated by either a standard phase-contrast microscope or an in-situ microscope. The images were analyzed according to their greyscale pattern in order to examine whether the greyscale distribution is a possibility to gain information about the covering ratio. The mouse fibroblast cell line (NIH-3T3) was grown on different microcarrier spheres. At first, different microcarriers were tested with respect to their suitability for microscopic observation. In a second part, the phase-contrast pictures and in-situ microscope pictures of the microcarrier were separately analyzed using the histogram function of CorelPhotopaint, which analyzes the greyscale distribution within the chosen area. Due to the low optical density of the polydextrin matrix, the images of Cytodex 1 microcarriers proved to be an ideal model for the image analysis. Significant differences in the greyscale distribution of this microcarrier without cells and with increased cell density were observed. Therefore a relationship between the cell density on the microcarriers and the greyscale pattern can be assumed. After automating this image analysis and calibrating the cell number/greyscale pattern relationship, it should be possible to analyze the plating efficiency/covering ratio on the microcarrier online by in-situ microscopy.
AB - In order to apply newly developed non-invasive in-situ microscope systems for the monitoring of microcarrier-based cultivations, appropriate image analysis systems must be available. Thus a simple, but effective greyscale distribution scan algorithm was tested for the evaluation of images generated by either a standard phase-contrast microscope or an in-situ microscope. The images were analyzed according to their greyscale pattern in order to examine whether the greyscale distribution is a possibility to gain information about the covering ratio. The mouse fibroblast cell line (NIH-3T3) was grown on different microcarrier spheres. At first, different microcarriers were tested with respect to their suitability for microscopic observation. In a second part, the phase-contrast pictures and in-situ microscope pictures of the microcarrier were separately analyzed using the histogram function of CorelPhotopaint, which analyzes the greyscale distribution within the chosen area. Due to the low optical density of the polydextrin matrix, the images of Cytodex 1 microcarriers proved to be an ideal model for the image analysis. Significant differences in the greyscale distribution of this microcarrier without cells and with increased cell density were observed. Therefore a relationship between the cell density on the microcarriers and the greyscale pattern can be assumed. After automating this image analysis and calibrating the cell number/greyscale pattern relationship, it should be possible to analyze the plating efficiency/covering ratio on the microcarrier online by in-situ microscopy.
KW - Biotechnology
KW - Cell cultures
KW - Cell growth
KW - Microscopy
UR - http://www.scopus.com/inward/record.url?scp=33847159854&partnerID=8YFLogxK
U2 - 10.1002/elsc.200620172
DO - 10.1002/elsc.200620172
M3 - Article
AN - SCOPUS:33847159854
VL - 7
SP - 91
EP - 96
JO - Engineering in life sciences
JF - Engineering in life sciences
SN - 1618-0240
IS - 1
ER -