Zebrafish Larvae Tracking & Behavioral Analysis

Automated deep-learning software for high-throughput tracking and behavioral analysis of zebrafish larvae in toxicology and drug-discovery studies.

Behavioral Analysis & ESLT Methodology

The Electrical Stimulation Locomotor Test (ESLT) triggers escape swims independently of sensory functions, enabling reproducible measurement of neuromuscular circuits and toxicant-specific behavioral defects.

01

High-Throughput ESLT Assay

Assess pre-feeding zebrafish larvae after standardized electrical stimulation, with consistent acquisition for toxicological and pharmacological screening.

ESLT4–7 dpf
02

FishNet Tracking

Locate fish heads, reconstruct body midlines, track crossing larvae, and classify balance loss.

Deep LearningMulti-fish
03

Behavioral Modules

Bring together neuromuscular, postural control, and seizure-like behavior measurements into an integrated behavioral profile.

KinematicsPosture
04

EpilepsyNet Classifier

Classify seizure-like behavior over time from FishNet-derived neuromuscular parameters to support antidote and drug screening.

SeizuresDrug Screening
Related Publications

ESLT applications in toxicology and pharmacology

Research applications built around escape swim analysis, including toxicology, antidote screening, and energy expenditure simulations.

How DanioTracker Works

Preview the acquisition, tracking, and seizure-analysis workflow through representative zebrafish videos.

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01

High-throughput acquisition

Standardized ESLT acquisition captures group swimming responses for robust, repeatable screening.

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02

Accurate multi-fish tracking

FishNet maintains individual tracks and body geometry even when larvae cross or interact.

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03

Seizure-like behavior

EpilepsyNet identifies seizure-like events and produces quantitative profiles for therapeutic screening.

Desktop Application
DanioTracker Logo

Download DanioTracker

The desktop release packages the FishNet and EpilepsyNet workflow for local, high-throughput behavioral analysis.

Downloads are temporarily unavailable. DanioTracker download will open after publication.

DanioTracker v1.0.0
15 September 2026
System requirements
  • Windows 10/11 x64
  • >8 GB RAM
  • NVIDIA GPU optional
Video requirements
  • .jpg or .png image sequences
  • 512 × 512 pixels
  • 1000 frames/s recordings

FishNet was trained on high-resolution 4–7 dpf zebrafish recordings; substantially different imaging conditions will require fine-tuning.

AI Source Code

Explore FishNet & EpilepsyNet

Explore the repositories for model architecture, training and inference code, annotation tools, and trained weights.

For help fine-tuning either model for your own recordings, contact theo.merce@danio-tracker.com .

Credits & Institutional Partners