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image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2024
License: CC BY
Data sources: ZENODO
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2022
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2022
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2024
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2024
License: CC BY
Data sources: Datacite
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Nucl.eye.D

Authors: Johann to Berens P.; Theune M.;

Nucl.eye.D

Abstract

Here you can find all datasets, scripts and trained models related to the Nucl.eye.D workflow presented in the publication - "Advanced image analysis methods for automated segmentation of subnuclear chromatin domains " ! The folder nucleyed.zip contains: - trained models (>Output>models) - training data-set (>Input) - all images (>Input) The folder SupplementalMacros.zip contains all supplemental macro used for the analysis. The file : The_Nucl_Eye_D.ipynb can be directly used following the noted instructions : - Download The_Nucl_Eye_D.ipynb - upload it to your Google Drive - Open it with Google Colaboratory (Or if not already installed : Open with -> More applications -> Google Colaboratory -> Install) (We recommend using Chrome browser) With the updated from 08.04.2024 the folder "H3K9me2 and H3K27me1 segmentation models.zip" was added - containing models for segmentation of H3K9me2 or H3K27me1 immunostained nuclei. Training sets are also contained. For question about the script contact : nucl.eye.d@gmail.com Enjoy using Nucl.eye.D !

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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