Permittivity-Based Microparticle Classification by the Integration of Impedance Cytometry and Microwave Resonators
A microfluidic tool capablen of rapidly characterizing particles (including microplastics) using electronic characteristics.
Rapid Microplastics Detection using Fluorescent Conjugated Polymer Nanoparticles
A novel fluorescence-based system for rapidly identifying microplastics in environmental samples.
Polymer Kit 1.0
Affordable standardized kit of 22 plastic materials typically found in the environment plus a USB thumb drive with ATR FTIR, DSC, and pyrolysis GC/MS data.
ML-Based Microplastics ID via Flow Cytometry
Machine-learning based rapid & easy to use method for differentiating microplastics from natural particles in aqueous samples using flow cytometry.
Rapid single-particle chemical imaging of nanoplastics by Raman scattering microscopy
Publication detailing method here: Rapid single-particle chemical imaging of nanoplastics by SRS microscopy | PNAS MATLAB code used for simulation, spectral matching, and plastic analysis here: GitHub – qnxcarnation/SRS-tailored-Spectral-Matching-algorithm-for-plastic-identification Raw […]
Automated Quantitative Photography for Plastic Debris
CellProfiler and Python scripts for quantitative analysis of size/shape/colour of plastic debris. These scripts process photographs of plastic debris, detecting any objects present and measuring their size, shape, and average colour.
Automated Image Color Correction Script
Python script for systematically colour-correcting photographs of plastic debris for quantitative photography.
Microplastics Identification Workflow via Near-IR Hyperspectral Imaging
Open training database, model, and analysis pipeline used in optimized workflow for identifying microplastics using near infrared hyperspectral imaging.
Portable High-Throughput Microplastics Sensor (temporary name)
A prototype high throughput portable sensor for detecting microplastics based on Raman spectrometry.
TrashAI
Open source web graphical user interface for serverless computer vision classification of individual items of trash within images.