Imagesurf Moab2 Image Example

A set of 2000x2000 raw confocal fluorescence images of MOAB2-labelled cortex from APPswe/PS1dE9 mouse models of Alzheimer's disease, un-annotated intensity scaled 8-bit images, sparsely annotated pixel labels and reference segmentation examples. Pixels are annotated as signal (red 0xFFFF0000) a...

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Bibliographic Details
Main Authors: O'Mara, Aidan R, Collins, Jessica M, King, Anna E, Vickers, James C, Kirkcaldie, Matthew T K
Format: Dataset
Language:unknown
Published: Zenodo 2017
Subjects:
Online Access:https://dx.doi.org/10.5281/zenodo.819511
https://zenodo.org/record/819511
id ftdatacite:10.5281/zenodo.819511
record_format openpolar
spelling ftdatacite:10.5281/zenodo.819511 2023-05-15T17:53:40+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.819511 https://zenodo.org/record/819511 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 dataset Dataset 2017 ftdatacite https://doi.org/10.5281/zenodo.819511 https://doi.org/10.5281/zenodo.787849 2021-11-05T12:55:41Z A set of 2000x2000 raw confocal fluorescence images of MOAB2-labelled cortex from APPswe/PS1dE9 mouse models of Alzheimer's disease, un-annotated intensity scaled 8-bit images, 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.818109). Dataset Orca DataCite Metadata Store (German National Library of Science and Technology)
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language 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 raw confocal fluorescence images of MOAB2-labelled cortex from APPswe/PS1dE9 mouse models of Alzheimer's disease, un-annotated intensity scaled 8-bit images, 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.818109).
format Dataset
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.819511
https://zenodo.org/record/819511
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.819511
https://doi.org/10.5281/zenodo.787849
_version_ 1766161373900832768