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...

Full description

Bibliographic Details
Main Authors: O'Mara, Aidan R, Collins, Jessica M, King, Anna E, Vickers, James C, Kirkcaldie, Matthew T K
Format: Text
Language:unknown
Published: Zenodo 2017
Subjects:
Online Access:https://dx.doi.org/10.5281/zenodo.375950
https://zenodo.org/record/375950
id ftdatacite:10.5281/zenodo.375950
record_format openpolar
spelling 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)
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 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