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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao ZENODOarrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
ZENODO
Dataset . 2023
Data sources: Datacite
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
ZENODO
Dataset . 2023
Data sources: ZENODO
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
ZENODO
Dataset . 2023
Data sources: Datacite
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Training data for Spheroid nucleus for Oneat action classification

Research datakeyboard_double_arrow_right Dataset 26 Aug 2023Publisher:Zenodo
Authors: Kapoor, Varun;

doi: 10.5281/zenodo.8285030 , 10.5281/zenodo.8285029

Training data for Spheroid nucleus for Oneat action classification

Abstract

Contains the npz files to train 4D oneat network for classification of spheroid nuclei into Normal, Mitosis and Apoptosis cell types. In conjunction with the BLVKW repository this data contains patches of TZYX (3,8,64,64) that is then used to train the oneat network. Statistics Statistics Normal Mitosis Apoptosis 7672 1680 357 Aug = Augmentation using Poisson and Gaussian noise and flip XY transformation. The training data image size = (9709,3,8,64,64,1) The training data label size = (9709,3,11,1) Script: https://github.com/kapoorlab/BLVKW/blob/main/minus_06_create_oneat_patches.py

Computational support provided by Jean Zay dynamic access grants : AD011013724R1, AD011013695R1, AD011013695R1, AD011013396R1, AD011013396R1

Keywords

VollSeg, Sentinal, NapaTrackMater, TrackMate, Jean Zay, IDRIS, Xenopus, Nuclei, CZI, Kapoorlabs, Oneat

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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).
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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.
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