Nissl_2, Raw images for Machine learning for histological annotation and quantification of cortical layers.
This dataset contains images (TIFF image data) of brain juvenile rats Wistar Han (P14) scanned immunostained slides by using an automated slide scanner (Olympus, VS120-L100, GER) equipped with a UPLSAPO 20x/0.75 air objective (Olympus, GER) and a Pike F505 Color camera leading to a pixel size of 0.346 μm/pixel.
These raw images are part of another Zenodo dataset https://doi.org/10.5281/zenodo.11544829, that contains the QuPath projects that uses this dataset and 5 others (from Nissl_1 to Nissl_6).
Cite this item
Meystre, J. (2024). Nissl_2, Raw images for Machine learning for histological annotation and quantification of cortical layers. [Dataset]. Zenodo. https://doi.org/10.5281/zenodo.12514990
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51404068-0160-48c1-8cd9-bf830ddaafdf
EPFL
2024-06-24
CC BY
| Funder | Funding(s) | Grant NO | Grant URL |
École Polytechnique Fédérale de Lausanne | |||
| Relation | Related work | URL/DOI |
IsPartOf | Supplementary files for Machine learning for histological annotation and quantification of cortical layers | |
IsNewVersionOf | ||