0
Article Tier 2 Sign in to save

Batch Processing with MP-VAT

AI summary Read the abstract

This is a software repository for a batch processing implementation of the Microplastics Visual Analysis Tool (MP-VAT), which automates the analysis of microplastic images. The tool enables systematic processing of large numbers of microscopy images for microplastic identification and counting. This is a software release document rather than a primary research article.

This is a batch processing implementation of the Microplastics Visual Analysis Tool (MP-VAT) published at https://doi.org/10.1016/j.scitotenv.2019.07.060

More Papers Like This

Article Tier 2

A new approach for routine quantification of microplastics using Nile Red and automated software (MP-VAT)

AI summary Read the abstract

Researchers developed a new workflow combining Nile Red fluorescence staining with automated image analysis software (MP-VAT) to rapidly quantify microplastics in environmental samples, reducing the labor and subjectivity of manual counting methods. The automated approach improves throughput and reproducibility for routine microplastic monitoring applications.

Article Tier 2

A Handy Open-Source Application Based on Computer Vision and Machine Learning Algorithms to Count and Classify Microplastics

AI summary Read the abstract

An open-source computer vision application was developed to automatically count and classify microplastics in microscopy images, achieving accuracy comparable to manual counting while processing samples orders of magnitude faster, offering the scientific community a free tool to reduce the bottleneck of tedious visual microplastic enumeration.

Article Tier 2

A new approach for routine and accelerated processing of microplastics using MPScanTool plugin for ImageJ

AI summary Read the abstract

Researchers developed a flatbed scanner-based system paired with open-source image analysis software to speed up the counting, measuring, and classification of microplastics in samples, reducing the time required compared to manual microscopy. The affordable system makes high-throughput microplastic analysis more accessible to laboratories with limited resources.

Article Tier 2

TUM-ParticleTyper: A detection and quantification tool for automated analysis of (Microplastic) particles and fibers

AI summary Read the abstract

TUM-ParticleTyper is a new computer program that automatically detects and counts microplastic particles in microscope images, reducing the time and human effort needed for analysis. The tool can also flag particles for chemical identification, helping standardize microplastic research.

Article Tier 2

Microplastic Spot Analyzer: Automated Image-Based Detection and Quantification of Microplastic Particles

AI summary Read the abstract

Scientists have created a new software tool that automatically spots and measures microplastic particles in microscope images, replacing the slow, error-prone process of counting them by hand. This matters because faster, more consistent microplastic detection makes it easier for researchers to study how much of this material is in our water, food, and environment, a key step toward understanding its potential health risks. Note that this paper introduces the tool itself rather than new findings about microplastics' health effects.

Research digests by email

When a large batch of papers lands in the Atlas, we read through it and send a short write-up of what stood out.

Email me about

Share this paper