Imagesurf Moab2 Image Example
A set of 2000x2000 confocal fluorescence images of MOAB2-labelled cortex from APPswe/PS1dE9 mouse models of Alzheimer's disease, sparsely annotated pixel labels and reference segmentation examples. Pixels are annotated as signal (red 0xFFFF0000) and background (blue 0xFF0000FF). Images were cap...
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Online Access: | https://dx.doi.org/10.5281/zenodo.375950 https://zenodo.org/record/375950 |
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ftdatacite:10.5281/zenodo.375950 2023-05-15T17:53:39+02:00 Imagesurf Moab2 Image Example O'Mara, Aidan R Collins, Jessica M King, Anna E Vickers, James C Kirkcaldie, Matthew T K 2017 https://dx.doi.org/10.5281/zenodo.375950 https://zenodo.org/record/375950 unknown Zenodo https://dx.doi.org/10.5281/zenodo.787849 Open Access Creative Commons Attribution 4.0 https://creativecommons.org/licenses/by/4.0 info:eu-repo/semantics/openAccess CC-BY Segmentation MOAB2 Confocal imaging Text Journal article article-journal ScholarlyArticle 2017 ftdatacite https://doi.org/10.5281/zenodo.375950 https://doi.org/10.5281/zenodo.787849 2021-11-05T12:55:41Z A set of 2000x2000 confocal fluorescence images of MOAB2-labelled cortex from APPswe/PS1dE9 mouse models of Alzheimer's disease, sparsely annotated pixel labels and reference segmentation examples. Pixels are annotated as signal (red 0xFFFF0000) and background (blue 0xFF0000FF). Images were captured as stitched 12-bit greyscale single-plane images and cropped to size. Image acquisition was performed at 561nm excitation and 615nm emission wavelengths using a Perkin Elmer Ultraview VOX imaging system with Nikon Eclipse Ti inverted microscope, 20x objective lens, x-y motorised stage, Hamamatsu ORCA-R2 C10600-10B CCD camera and Volocity 6.3 software package. These images are shared as examples for the ImageSURF segmentation plugin for ImageJ2/FIJI (https://doi.org/10.5281/zenodo.375947). Text Orca DataCite Metadata Store (German National Library of Science and Technology) |
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Open Polar |
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DataCite Metadata Store (German National Library of Science and Technology) |
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ftdatacite |
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unknown |
topic |
Segmentation MOAB2 Confocal imaging |
spellingShingle |
Segmentation MOAB2 Confocal imaging O'Mara, Aidan R Collins, Jessica M King, Anna E Vickers, James C Kirkcaldie, Matthew T K Imagesurf Moab2 Image Example |
topic_facet |
Segmentation MOAB2 Confocal imaging |
description |
A set of 2000x2000 confocal fluorescence images of MOAB2-labelled cortex from APPswe/PS1dE9 mouse models of Alzheimer's disease, sparsely annotated pixel labels and reference segmentation examples. Pixels are annotated as signal (red 0xFFFF0000) and background (blue 0xFF0000FF). Images were captured as stitched 12-bit greyscale single-plane images and cropped to size. Image acquisition was performed at 561nm excitation and 615nm emission wavelengths using a Perkin Elmer Ultraview VOX imaging system with Nikon Eclipse Ti inverted microscope, 20x objective lens, x-y motorised stage, Hamamatsu ORCA-R2 C10600-10B CCD camera and Volocity 6.3 software package. These images are shared as examples for the ImageSURF segmentation plugin for ImageJ2/FIJI (https://doi.org/10.5281/zenodo.375947). |
format |
Text |
author |
O'Mara, Aidan R Collins, Jessica M King, Anna E Vickers, James C Kirkcaldie, Matthew T K |
author_facet |
O'Mara, Aidan R Collins, Jessica M King, Anna E Vickers, James C Kirkcaldie, Matthew T K |
author_sort |
O'Mara, Aidan R |
title |
Imagesurf Moab2 Image Example |
title_short |
Imagesurf Moab2 Image Example |
title_full |
Imagesurf Moab2 Image Example |
title_fullStr |
Imagesurf Moab2 Image Example |
title_full_unstemmed |
Imagesurf Moab2 Image Example |
title_sort |
imagesurf moab2 image example |
publisher |
Zenodo |
publishDate |
2017 |
url |
https://dx.doi.org/10.5281/zenodo.375950 https://zenodo.org/record/375950 |
genre |
Orca |
genre_facet |
Orca |
op_relation |
https://dx.doi.org/10.5281/zenodo.787849 |
op_rights |
Open Access Creative Commons Attribution 4.0 https://creativecommons.org/licenses/by/4.0 info:eu-repo/semantics/openAccess |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.5281/zenodo.375950 https://doi.org/10.5281/zenodo.787849 |
_version_ |
1766161347490349056 |