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Article

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

PloS one - 1 Jan 2012

Liu Rong, Lin Sijie, Rallo Robert, Zhao Yan, Damoiseaux Robert, Xia Tian, Lin Shuo, Nel Andre, Cohen Yoram

Abstract excerpt

A phenotype recognition model was developed for high throughput screening (HTS) of engineered Nano-Materials (eNMs) toxicity using zebrafish embryo developmental response classified, from automatically captured images and without manual manipulation of zebrafish positioning, by three basic phenotypes (i.e., hatched, unhatched, and dead). The recognition model was built with a set of vectorial descriptors...

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Share to Embryo, Nonmammalian
Share to High-Throughput Screening Assays

Methodology Data sources Editorial policy Privacy Delete account & data About Contact Helena Bioinformatics

Share to Image Processing, Computer-Assisted

Share to Models, Biological

Share to Nanostructures

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Share to Toxicity Tests

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Source

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Identifiers

PMID: 22506062
DOI: 10.1371/journal.pone.0035014
PMCID: PMC3323610

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-08.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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