Published March 1, 2018
| Version v1
Poster
Open
Automated image analysis methods for the quantification of cell damage and adherent fungal cells
Creators
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1.
Leibniz-Institut für Naturstoff-Forschung und Infektionsbiologie e. V. - Hans-Knöll-Institut (HKI)
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2.
Friedrich Schiller University Jena
Contributors
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1.
Leibniz-Institut für Naturstoff-Forschung und Infektionsbiologie e. V. - Hans-Knöll-Institut (HKI)
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2.
Jena University Hospital
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3.
Friedrich Schiller University Jena
- 4. Leibniz Institute for Natural Product Research and Infection Biology
- 5. Leibniz Institute for Natural Product Research and Infection Biology - Hans Knöll Institute, Friedrich Schiller University Jena, Germany
Files
Automated image analysis methods for the quantification of cell damage and adherent fungal cells.pdf
Files
(13.2 MB)
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Automated image analysis methods for the quantification of cell damage and adherent fungal cells.pdf
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