Automated Morphological Feature Assessment for Zebrafish Embryo Developmental Toxicity Screens.
Toxicol Sci
; 167(2): 438-449, 2019 02 01.
Article
em En
| MEDLINE
| ID: mdl-30295906
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.
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Teratogênicos
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Processamento de Imagem Assistida por Computador
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Peixe-Zebra
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Desenvolvimento Embrionário
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Embrião não Mamífero
Tipo de estudo:
Prognostic_studies
Limite:
Animals
Idioma:
En
Revista:
Toxicol Sci
Assunto da revista:
TOXICOLOGIA
Ano de publicação:
2019
Tipo de documento:
Article
País de afiliação:
Alemanha