PMID:16382904
| Citation |
Selinummi, J , Seppälä, J , Yli-Harja, O and Puhakka, JA (2005) Software for quantification of labeled bacteria from digital microscope images by automated image analysis. BioTechniques 39:859-63 |
|---|---|
| Abstract |
Automated image analysis software, CellC, was developed and validated for quantification of bacterial cells from digital microscope images. CellC enables automated enumeration of bacterial cells, comparison of total count and specific count images [e.g., 4',6-diamino-2-phenylindole (DAPI) and fluorescence in situ hybridization (FISH) images], and provides quantitative estimates of cell morphology. The software includes an intuitive graphical user interface that enables easy usage as well as sequential analysis of multiple images without user intervention. Validation of enumeration reveals correlation to be better than 0.98 when total bacterial counts by CellC are compared with manual enumeration, with all validated image types. The software is freely available and modifiable: the executable files and MATLAB source codes can be obtained at www. cs. tut.fi/sgn/csb/cellc. |
| Links | |
| Keywords |
Bioreactors; Colony Count, Microbial/methods; Image Processing, Computer-Assisted/methods; Microscopy; Software |
| edit table |
Main Points of the Paper
Please summarize the main points of the paper.
Materials and Methods Used
Please list the materials and methods used in this paper (strains, plasmids, antibodies, etc).
Phenotype Annotations
See Help:AnnotationTable for details on how to edit this table.
<protect>
| Phenotype of | Taxon Information | Genotype Information (if known) | Condition Information | OMP ID | OMP Term Name | ECO ID | ECO Term Name | Notes | Status |
|---|---|---|---|---|---|---|---|---|---|
| edit table |
</protect>
Notes
References
See Help:References for how to manage references in omp dev.
