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Data Brief. 2017 Sep 1;14:643-647. doi: 10.1016/j.dib.2017.08.027. eCollection 2017 Oct.

Data for automated, high-throughput microscopy analysis of intracellular bacterial colonies using spot detection.

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Department of Clinical Medicine, Aarhus University, 8000 Aarhus, Denmark.
Department of Molecular Biology and Genetics, Aarhus University, 8000 Aarhus, Denmark.
Department of Biochemistry and Molecular Biology, University of Southern Denmark, 5230 Odense M, Denmark.


Quantification of intracellular bacterial colonies is useful in strategies directed against bacterial attachment, subsequent cellular invasion and intracellular proliferation. An automated, high-throughput microscopy-method was established to quantify the number and size of intracellular bacterial colonies in infected host cells (Detection and quantification of intracellular bacterial colonies by automated, high-throughput microscopy, Ernstsen et al., 2017 [1]). The infected cells were imaged with a 10× objective and number of intracellular bacterial colonies, their size distribution and the number of cell nuclei were automatically quantified using a spot detection-tool. The spot detection-output was exported to Excel, where data analysis was performed. In this article, micrographs and spot detection data are made available to facilitate implementation of the method.


High-throughput imaging; Intracellular bacterial colonies; Invasive bacteria; Spot detection; UPEC; Uropathogenic E. coli

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