Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Zebrafish behavioral assessment as a first-tier whole-organism NAM for developmental neurotoxicity: A multi-laboratory evaluation.

Neurotoxicology·2026
Same author

Integrated Chemical and Toxicity Screening of Tap Drinking Water across Western Oregon Using Suspect and Nontarget Screening.

Environmental science & technology·2026
Same author

Corrigendum to "Chemical structure drives developmental toxicity of alkyl-substituted naphthalenes in zebrafish" [Environ. Int. 204 (2025) 109837].

Environment international·2026
Same author

Morphological, Behavioral, and Transcriptomic Profiling Reveals Developmental Toxicity of PCB Metabolites in Zebrafish.

Toxics·2026
Same author

Global Landscape of Zebrafish Research (2000-2025): A Bibliometric Analysis of Publication Trends, Collaboration, and Thematic Evolution.

Zebrafish·2026
Same author

Discovery of INCB191358: A Potent and Selective DGKα/ζ Dual Inhibitor.

Journal of medicinal chemistry·2026

Related Experiment Video

Updated: May 3, 2026

Development of automated imaging and analysis for zebrafish chemical screens.
10:49

Development of automated imaging and analysis for zebrafish chemical screens.

Published on: June 24, 2010

14.0K

FINS: An interactive platform for automated zebrafish image analysis and morphological screening.

Ayse B Oktay1, Eric McAfee1, Adrian J Green1

  • 1Sciome LLC, Research Triangle Park, North Carolina 27709, USA.

SLAS Technology
|May 1, 2026
PubMed
Summary

FINS, a new platform, uses AI to automate zebrafish embryo analysis for developmental toxicity screening. This tool significantly reduces scoring time and improves accuracy, making large-scale toxicology studies more feasible.

Keywords:
Deep learningDevelopmental toxicityFINSHigh-throughput screeningImage-based phenotypingInteractive web applicationZebrafish embryo

More Related Videos

A 3-dimensional 3D-printed Template for High Throughput Zebrafish Embryo Arraying
04:52

A 3-dimensional 3D-printed Template for High Throughput Zebrafish Embryo Arraying

Published on: June 1, 2018

6.5K
Functional Cardiac Imaging in Zebrafish Embryos Using Standard Microscopy and Video Analysis: Applications in Environmental and Biomedical Research
04:11

Functional Cardiac Imaging in Zebrafish Embryos Using Standard Microscopy and Video Analysis: Applications in Environmental and Biomedical Research

Published on: October 10, 2025

956

Related Experiment Videos

Last Updated: May 3, 2026

Development of automated imaging and analysis for zebrafish chemical screens.
10:49

Development of automated imaging and analysis for zebrafish chemical screens.

Published on: June 24, 2010

14.0K
A 3-dimensional 3D-printed Template for High Throughput Zebrafish Embryo Arraying
04:52

A 3-dimensional 3D-printed Template for High Throughput Zebrafish Embryo Arraying

Published on: June 1, 2018

6.5K
Functional Cardiac Imaging in Zebrafish Embryos Using Standard Microscopy and Video Analysis: Applications in Environmental and Biomedical Research
04:11

Functional Cardiac Imaging in Zebrafish Embryos Using Standard Microscopy and Video Analysis: Applications in Environmental and Biomedical Research

Published on: October 10, 2025

956

Area of Science:

  • Developmental Biology
  • Toxicology
  • Bioinformatics

Background:

  • Zebrafish embryos are valuable models for developmental toxicity screening due to their transparency and conserved biology.
  • Manual scoring of zebrafish embryos is time-consuming, variable, and difficult to scale for high-throughput needs.
  • Lack of automated tools hinders the use of zebrafish assays in regulatory toxicology.

Purpose of the Study:

  • To introduce FINS (Fish Imaging and Neural Scoring), a web-based platform for automated zebrafish morphological screening.
  • To enable efficient and reproducible analysis of zebrafish embryos for developmental toxicity.
  • To facilitate the adoption of zebrafish assays in large-scale research and regulatory applications.

Main Methods:

  • Developed FINS, an interactive platform integrating deep learning (CNNs) for phenotype classification.
  • Implemented intuitive visualization, manual correction, and quality control (QC) tools within FINS.
  • Utilized multi-well plate images for automated identification of normal and abnormal zebrafish phenotypes.

Main Results:

  • FINS demonstrated high classification accuracy and F1 scores for both normal and abnormal zebrafish phenotypes.
  • The integrated QC module automatically identifies and flags unusable images, ensuring data quality.
  • FINS reduced annotation time by over 70% compared to conventional manual scoring methods.

Conclusions:

  • FINS provides a reproducible, scalable, and standardized solution for zebrafish image analysis.
  • The platform's speed, accuracy, and interpretability support its use in research and regulatory settings.
  • FINS facilitates the broader adoption of zebrafish embryo assays in toxicology pipelines.