Acetylcholinesterase Staining & Quantification
AI-based image analysis for measuring AChE staining in zebrafish larvae during cholinergic toxicology and antidote screening studies.
Cholinergic Toxicology & AI Methodology
DanioAChE provides a reproducible pipeline from larval staining to quantitative acetylcholinesterase measurements, supporting studies of organophosphorus nerve agents, pesticides, and brain-penetrant antidotes.
Zebrafish Larvae Preparation
Use whole-organism zebrafish larvae as a sensitive model for cholinergic neurotoxicity and therapeutic-response studies.
AChE Staining
Acquire 8-bit RGB lateral-view images after staining to visualize acetylcholinesterase activity in larval tissue.
AI Image Quantification
The desktop pipeline analyzes staining intensity and regions of interest with consistent, image-based quantification.
Antidote Screening
Compare treatment groups and screen brain-penetrant antidotes that restore central AChE function after exposure.
One platform, multiple toxicology questions
Quantify inhibition, recovery, and treatment effects in a whole-organism model with a transparent image-analysis workflow.
Image analysis workflow
Explore representative DanioAChE views from image input through quantitative output.
Prepare image input
Load an 8-bit RGB lateral-view image and prepare a consistent analysis region.
Run AI analysis
Process staining with the local desktop workflow for consistent image-derived quantification.
Compare quantitative results
Review the processed output and compare exposure or antidote-treatment groups.
Download DanioAChE
Install the local image-analysis platform for AI-based acetylcholinesterase staining quantification.
Will be available when published.
Credits & Institutional Partners
