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.
(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 YOLOv5 to detect and classify microplastics fragments from images
Application for object detection of microfibers in sludge samples extracted from residual water treatment plants.
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
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.
detect microplastics in water with python, flask, and RoboFlow
Associated repository for the "Microplastic Pollution: The Shocking Truth & Simple Solutions " 15 minute discourse podcast on YouTube!
限られた粒径のマイクロプラスチックの実測データに当てはめたべき分布のスケールパラメタ等から、未計測の粒径範囲を含むマイクロプラスチック濃度を推定するための補正係数の計算方法
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.
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