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dataset

Supplementary files for Machine learning for histological annotation and quantification of cortical layers

Meystre, Julie  
•
Burri, Olivier  
June 10, 2024
Zenodo

Creators Meystre Julie Olivier Burri Contributors Jean Jacquemier Description This dataset contains 7 QuPath projects. The raw data images linked to these projects and located in other Zenodo datasets need to be downloaded as well. The raw data contains images of 14 hemispheres from height animals. Nissl_1 : animal 1413827 Right Hemisphere Nissl_2 : animal 1413829 Right Hemisphere animal 1413828 Right Hemisphere animal 1413827 Left Hemisphere Nissl_3 : animal 1413828 Left Hemisphere Nissl_4 : animal 1443459 Right Hemisphere animal 1443460 Right Hemisphere Nissl_5 : animal 1443459 Left Hemisphere animal 1443460 Left Hemisphere Nissl_6 : animal 1449920 Left Hemisphere animal 1449921 Left Hemisphere animal 1449921 Right Hemisphere animal 1449922 Left Hemisphere animal 1449922 Right Hemisphere QuPath_LayerBoundaries_GroundTruth_20220927: This is the QuPath project that contains S1HL layers annotations done by the experts and which have been used to trained the Random forest Machine Learning method for the S1HL brain classification. It contains some images from all the eight animals. Animals All animal procedures were approved by the Veterinary Authorities and the Cantonal Commission for Animal Experimentation of the Canton of Vaud, according to the Swiss animal protection laws, under license number VD3516. Outbred Wistar Han rats (Janvier Laboratories, France) were ordered with their litter aged eight postnatal days (P8). Dams were housed individually and allowed to raise their own litters until experimentation on male offspring aged fourteen days (P14; N=8 animals; N=3 litters). Animals were housed in standard plastic laboratory cages, with bedding, nesting material and paper tube and ad libitum access to food (SAFE 150 SP-25) and water, cleaned once per week, and kept on a twelve-hour light-dark schedule with lights turned on at 06:30 AM, in rooms under controlled humidity and temperature. The sample size here is greater than those reported in other open source atlases (“Allen Reference Atlas - Mouse,” n.d.; “The Rat Brain in Stereotaxic Coordinates - 7th Edition,” n.d.). Sample preparation On postnatal day fourteen, rats were transferred to the experimental room in the morning to acclimate. The described procedure was conducted within a consistent 3-hour window of the day (09:00-12:00). Initially, the rats were deeply anesthetized using pentobarbital (intraper...

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Type
dataset
DOI
10.5281/zenodo.11544829
ACOUA ID

430c5af9-d782-4d3e-bac7-c30ab7e76248

Author(s)
Meystre, Julie  

EPFL

Burri, Olivier  

EPFL

Contributors
Jacquemier, Jean  
Date Issued

2024-06-10

Version

1

Publisher

Zenodo

License

CC BY

Subjects

Molecular neuroscience

•

Cell biology

•

cell density

•

rat

•

brain

Additional link

Software

https://qupath.github.io/
EPFL units
BBP-CORE  
PTBIOP  
LNMC  
FunderFunding(s)Grant NO

École Polytechnique Fédérale de Lausanne

RelationRelated workURL/DOI

HasPart

Nissl_1, Raw images for Machine learning for histological annotation and quantification of cortical layers

https://infoscience.epfl.ch/handle/20.500.14299/240730

HasPart

Nissl_2, Raw images for Machine learning for histological annotation and quantification of cortical layers.

https://infoscience.epfl.ch/handle/20.500.14299/240731

HasPart

Nissl_3, Raw images for Machine learning for histological annotation and quantification of cortical layers.

https://infoscience.epfl.ch/handle/20.500.14299/240732
Show more
Available on Infoscience
August 14, 2024
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/240725
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