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Software for Quantification of Labeled Bacteria from Digital Microscope Images by Automated Image Analysis
Open accessAbstract
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.
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Cited by
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Wang, Y., Wang, Q., Haldar, J. P., Yeh, F.-C., Xie, M., Sun, P., Tu, T.-W., Trinkaus, K., Klein, R. S., Cross, A. H., et al. (2011) · Brain · doi:10.1093/brain/awr307 · Cited by 384
Fronza, M., Heinzmann, B., Hamburger, M., Laufer, S., & Merfort, I. (2009) · Journal of Ethnopharmacology · doi:10.1016/j.jep.2009.09.014 · Cited by 365
Cell-Phone-Based Platform for Biomedical Device Development and Education Applications
Smith, Z. J., Chu, K., Espenson, A. R., Rahimzadeh, M., Gryshuk, A., Molinaro, M., Dwyre, D. M., Lane, S., Matthews, D., & Wachsmann-Hogiu, S. (2011) · PLoS ONE · doi:10.1371/journal.pone.0017150 · Cited by 339
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Tan, C., Marguet, P., & You, L. (2009) · Nature Chemical Biology · doi:10.1038/nchembio.218 · Cited by 339
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Metadata
- Authors
- Selinummi, J., Seppälä, J., Yli-Harja, O., & Puhakka, J. A.
- Venue
- BioTechniques
- Publisher
- Informa UK Limited
- Published
- 2005-12
- Volume
- 39
- Issue
- 6
- Pages
- 859-863
- ISSN
- 0736-6205 (ISSN-L)
- 1940-9818
- OpenAlex
- W2009233209
- Cited by
- 263
- References
- 0
- FWCI
- 1.69
- Type
- journal article
- Language
- en
- Open access
- gold
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- Selinummi, J., Seppälä, J., Yli-Harja, O., & Puhakka, J. A. (2005). Software for Quantification of Labeled Bacteria from Digital Microscope Images by Automated Image Analysis. BioTechniques. https://doi.org/10.2144/000112018
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
