Automated phenotype recognition for zebrafish embryo based in vivo high throughput toxicity screening of engineered nano-materials (Q28383295)

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29 January 2020

title

Automated phenotype recognition for zebrafish embryo based in vivo high throughput toxicity screening of engineered nano-materials (English)

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Yoram Cohen

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author name string

Rong Liu

1

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29 January 2020

Sijie Lin

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29 January 2020

Robert Rallo

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29 January 2020

Yan Zhao

4

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29 January 2020

Robert Damoiseaux

5

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29 January 2020

Shuo Lin

7

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29 January 2020

Andre Nel

8

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language of work or name

English

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publication date

10 April 2012

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29 January 2020

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29 January 2020

volume

7

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29 January 2020

issue

4

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page(s)

e35014

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Creative Commons Attribution 4.0 International

29 January 2020

copyright license

start time

10 April 2012

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April 2022 Public Data File from Crossref

copyright status

copyrighted

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cites work

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Use of a high-throughput screening approach coupled with in vivo zebrafish embryo screening to develop hazard ranking for engineered nanomaterials

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Self-organizing map analysis of toxicity-related cell signaling pathways for metal and metal oxide nanoparticles

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Automated image-based phenotypic analysis in zebrafish embryos

29 September 2017

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In vivo evaluation of carbon fullerene toxicity using embryonic zebrafish

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21 January 2018

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21 January 2018

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21 January 2018

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EFFECT OF CARBON NANOTUBES ON DEVELOPING ZEBRAFISH (DANIO RERIO) EMBRYOS

21 January 2018

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12 December 2020

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10.1371/JOURNAL.PONE.0035014

Identifiers

DOI

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29 January 2020

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29 January 2020

PubMed publication ID

22506062

1 reference

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