SATURNA

STANDARDIZED. COMPREHENSIVE. RAPID.

To understand how microplastics break down, move through the oceans and freshwater systems and collect on coastlines, researchers and community monitoring groups must quantify a robust set of particle size parameters. 

Saturna is a portable, standardized imaging and illumination device that plugs in to your computer and syncs with Mariana, our web-based data analysis portal, to rapidly characterize and quantify visible microplastic particles. 

Use it to collect a robust set of size, color and categorical metrics for visible microplastic samples (>400μm) like those collected from Manta trawls, neuston nets, beach quadrat samples and community studies.

FEATURES

• Highly standardized built-in LED lighting system provides consistent and reproducible lighting for your microplastic samples 

• Compatible with any Windows PC and operated using our Mariana data portal   

• Provides physical size, color and categorical data for all microplastics imaged  

• Computer pattern recognition and sizing algorithms calculate 11 discrete size calculations for every particle  

• Predictive color models calculate repeatable and standardized average color calculations for each particle  

• Machine learning models automatically classify your particles into common categories such as fragments, pellets, lines, films and foams  

• Compare your samples over spatial areas using our Mariana data portal for further insight and sample analysis 

• Applicable for classifying microplastics' physical size, color and categorical characteristics 

SMART TECHNOLOGY

The data below is provided for every particle imaged:

• Maximum Width (mm)  

• 2D Surface Area (mm2)  

• Convex Surface Area (mm2)  

• Perimeter (mm)  

• Convex Perimeter (mm)  

• Bounding Box Width (mm)  

• Bounding Box Height (mm)  

• Aspect Ratio  

• Circularity  

• Convexity  

• Solidity  

• Average HSV Color Value  

• Average LAB Color Value  

• Average BGR Color Value  

• AI Color Prediction and Confidence Interval (Using 15 common color keys)  

• AI Particle Categorical Prediction and Confidence Interval (fragment, pellet, film, line, foam, etc.)