(micro)Plastic Spectroscopy Analysis Tool

Explainable Detection of Microplastics using Transformer Neural Networks. Includes codes for a classification transformer aimed at classifying microplastic FTIR data.

An R package to read and process Agilent Cary 620 FTIR microscope images

Using Machine Learning, Image Recognition, and Computer Vision to detect microplastics in water samples.

Data and code repository for MicroPlastiX spectroscopic measurements

2021 International Genetically Engineered Machine competition

The scripts uploaded in this repository were developed for the automated processing of fluorescence microscopy images of Nile Red stained microplastics

Revised version of the standard data checker, to be used as a template for starting any data checker app

Application for object detection of microfibers in sludge samples extracted from residual water treatment plants.

Using YOLOv5 to detect and classify microplastics fragments from images

MicroMorph: The Microplastic Shape and Size Analyzer

Code and data accompanying the paper Revell et al. (2021), “Direct radiative effects of airborne microplastics”.

A repository of our code for our master's program.

Priming Microplastic Extraction Conditions by Utilizing Ferrofluids and Arduino IR Detection Methods

automated workflow for processing data produced by ldir (agilent clarity) particle analysis software

This repository contains GPU accelerated version of the particle tracking model developed by Merel Kooi for biofouled microplastic particles ( available at: https://pubs.acs.org/doi/10.1021/acs.est.6b04702) written in CUDA Fortran and CUDA Python. This repository is intended as a learning tool for GPU programming.

Assessment of plastic contamination in vegetables fields in Spain and in the Netherlands and in compost samples from the Netherlands

An R package to read and process Agilent Cary 620 FTIR microscope images. To cite this Original Software Publication: https://www.sciencedirect.com/science/article/pii/S2352711021001321

This project analyzes the origins, impact, and contributors to microplastic pollution, using Python for EDA and Tableau for visualizations. My part of project investigates evolution, annual plastic production and global waste management practices by country/continents. Team members: Myself (origins), Sarah and Marie.