ArticleToxicological sciences : an official journal of the Society of Toxicology2019
Automated Morphological Feature Assessment for Zebrafish Embryo Developmental Toxicity Screens.
Article in Toxicological sciences : an official journal of the Society of Toxicology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers.
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Who cites it
52 citing papers in PubMed, 121 citations in OpenAlex.
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- A conditional generative model to disentangle morphological variation from batch effects in model organism imaging studies.bioRxiv : the preprint server for biology · 2025Article
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- Leveraging Zebrafish Embryo Phenotypic Observations to Advance Data-Driven Analyses in Toxicology.Environmental science & technology · 2025Article
- Accelerating antiviral drug discovery: early hazard detection with a dual zebrafish and cell culture screen of a 403 compound library.Archives of toxicology · 2025Article
- Behavioral, metabolic, and biochemical alterations caused by an acute stress event in a zebrafish larvae model.Fish physiology and biochemistry · 2025Article
- Polystyrene nanoplastics impact the bioenergetics of developing zebrafish and limit molecular and physiological adaptive responses to acute temperature stress.The Science of the total environment · 2025Article
- Cross-Shaped Heat Tensor Network for Morphometric Analysis Using Zebrafish Larvae Feature Keypoints.Sensors (Basel, Switzerland) · 2024Article
- The herbicide acetochlor causes lipid peroxidation by inhibition of glutathione peroxidase activity.Toxicological sciences : an official journal of the Society of Toxicology · 2024Article
- Article
Corrections and comments
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Authors and funding
6 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Detection of developmental phenotypes in zebrafish embryos typically involves a visual assessment and scoring of morphological features by an individual researcher. Subjective scoring could impact results and be of particular concern when phenotypic effect patterns are also used as a diagnostic tool to classify compounds. Here we introduce a quantitative morphometric approach based on image analysis of zebrafish embryos. A software called FishInspector was developed to detect morphological features from images collected using an automated system to position zebrafish embryos. The analysis was verified and compared with visual assessments of 3 participating laboratories using 3 known developmental toxicants (methotrexate, dexamethasone, and topiramate) and 2 negative compounds (loratadine and glibenclamide). The quantitative approach exhibited higher sensitivity and made it possible to compare patterns of effects with the potential to establish a grouping and classification of developmental toxicants. Our approach improves the robustness of phenotype scoring and reliability of assay performance and, hence, is anticipated to improve the predictivity of developmental toxicity screening using the zebrafish embryo.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.