Using Machine Learning, Image Recognition, and Computer Vision to detect microplastics in water samples.
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Updated
Feb 1, 2024 - PureBasic
Using Machine Learning, Image Recognition, and Computer Vision to detect microplastics in water samples.
An R package to read and process Agilent Cary 620 FTIR microscope images
(micro)Plastic Spectroscopy Analysis Tool
Computer vision and deep learning tool for microplastic pollution analysis
Revised version of the standard data checker, to be used as a template for starting any data checker app
A folder with scripts developed by Steve to process microplastic data
A repository of our code for our master's program.
MicroMorph: The Microplastic Shape and Size Analyzer
Priming Microplastic Extraction Conditions by Utilizing Ferrofluids and Arduino IR Detection Methods
Application for object detection of microfibers in sludge samples extracted from residual water treatment plants.
Impact of plastic mulch film debris on soil physicochemical and hydrological properties
Destruction of Aqueous Microfibers Enzymatically (DAME): A novel Synthetic Biology systems approach to destroying Polyester-based Microplastic fibers
Using YOLOv5 to detect and classify microplastics fragments from images
Test before making the Full Multi River available
Code to generate wave-driven Ekman-Stokes Eulerian flow dataset and run particle tracking simulations
automated workflow for processing data produced by ldir (agilent clarity) particle analysis software
Data and code repository for MicroPlastiX spectroscopic measurements
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