Data underlying the publication: Mapping spatial organization of in vitro neuronal networks using high-content imaging

DOI:10.4121/08c1ce13-63d0-4950-bb0f-93fd72c894e0.v1
The DOI displayed above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
DOI: 10.4121/08c1ce13-63d0-4950-bb0f-93fd72c894e0

Datacite citation style

Casotto, Angelica; Meijer, Dimphna (2025): Data underlying the publication: Mapping spatial organization of in vitro neuronal networks using high-content imaging . Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/08c1ce13-63d0-4950-bb0f-93fd72c894e0.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Dataset

This dataset was generated to study neuronal organization in complete cell culture wells using automated high-content imaging. Primary cortical, hippocampal, and cerebellar cells from mouse brain tissue were plated in 24- or 96-well plates, fixed at 7, 10, or 14 days in vitro (DIV), and stained for neuronal markers. Cortical and hippocampal neurons were labelled with DAPI (nuclei), MAP2 (soma and dendrites), and Ankyrin-G (axon initial segment), while cerebellar Purkinje neurons were identified with Calbindin. Whole wells were imaged via automated confocal microscopy (400 images/well at 10× for 24-well plates; 225 images/well at 20× for 96-well plates). Individual maximum intensity projection images were stitched into full-well reconstructions using an adapted ImageJ plugin.


Scripts and code used for generating and analyzing this dataset are available through Zenodo (see at references)

History

  • 2025-09-18 first online, published, posted

Publisher

4TU.ResearchData

Format

image/tiff

Organizations

TU Delft, Faculty of Applied Sciences, Department of Bionanoscience
Erasmus Medical Center, Department of Neuroscience

DATA

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