Code and Data for "S100Z is expressed in a lateral subpopulation of olfactory receptor neurons in the main olfactory system of Xenopus laevis"

This repository contains Python scripts that were used to analyze the distribution of manually identified cells in the olfactory system. Multiphoton microscopy image stacks of immunohistochemically labeled olfactory system tissue were manually annotated using the ImageJ ROI Manager tool. Regions of interest were exported from ImageJ as roi-files (provided as zip-archive). We include two datasets that were analyzed using these scripts. The datasets comprise of the imported ROI informations, experiment metadata, and results of calculations performed with the Python scripts. code.py: Script collection to analyze regions of interest drawn using the ImageJ ROI Manager tool. rois_from_imagej.zip: Roi-files exported from ImageJ. Subfolders contain s100z/biocytin labeled cells in different samples. biocytin_cell_counts.csv: Dataset of biocytin-backfilled olfactory receptor neurons s100z_cell_counts.csv: Dataset of human S100Z antibody labeled cells

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https://doi.org/10.1002/dneu.22935

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Code and Data for "S100Z is expressed in a lateral subpopulation of olfactory receptor neurons in the main olfactory system of Xenopus laevis"

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