Zebrafish Obesogenic Test & Analysis Software
An automated deep-learning platform developed to quantify white adipose tissue dynamics in zebrafish larvae, enhancing image processing speed and protocol reproducibility.
Scientific Protocol & Assay Methodology
From chemical exposure to high-resolution fluorescence microscopy, the short-term whole-organism assay tracks lipid accumulation across specific subcutaneous adipose depots to evaluate adverse outcome pathways and chemical toxicity.
Whole-Organism In Vivo Assay
A cutting-edge method developed by our team to assess the effects of diet, drugs, and environmental contaminants on white adipose tissue dynamics directly in live zebrafish larvae.
Nile Red Fluorescence Probe
Uses Nile Red as a lipophilic fluorescent probe to reveal adipocyte lipid droplets, allowing for the precise quantification of their size before and after exposure to tested molecules or mixtures.
AFRSAT & VSAT Sub-locations
Optimized as part of the European OBERON project. Protocol enhancements in staining, acquisition, and processing enable accurate adiposity assessment across two subcutaneous adipose sites: AFRSAT and VSAT.
Automated AI Pipeline (ZOTAS)
Developed to enhance protocol reproducibility and processing speed. ZOTAS automatically processes ZOT fluorescence images with deep-learning image segmentation, background subtraction, and adipocyte surface quantification.
Associated Scientific Publications
Key peer-reviewed studies validating the ZOT biological assay methodology, European OBERON protocol optimization, and automated deep-learning segmentation.
Tutorial for the Online Demo
Step-by-step workflow: from account registration to automated deep-learning analysis on paired TIFF images and quantitative results.
Account Access
Click the top right avatar to Sign In or Register. Once approved by an administrator, a confirmation email grants access to ZOTAS.
Upload & Analysis
In the Analysis tab, upload paired 16-bit single-channel .tiff images (pre- and post-exposure) with AFRSAT or VSAT to launch the deep-learning processing.
Quantitative Results
Consult automated adipocyte segmentation masks, background subtraction, and quantitative surface area measurements in the Results tab.
Download ZOTAS
Install the local standalone software for offline processing and high-throughput batch analysis of ZOT fluorescence images. User Manual →
Credits & Institutional Partners
