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TUM-ParticleTyper: A detection and quantification tool for automated analysis of (Microplastic) particles and fibers by Elisabeth von der Esch; Alexander J. Kohles; Philipp M. Anger; Roland Hoppe; Reinhard Niessner; Martin Elsner; Natalia P. Ivleva is a scholarly article available to read on EtoBox.

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

__TUM-ParticleTyper__ is a novel program for the automated detection, quantification and morphological characterization of fragments, including particles and fibers, in images from optical, fluorescence and electron microscopy (SEM). It can be used to automatically select targets for subsequent chemical analysis, e.g., Raman microscopy, or any other single particle identification method. The program was specifically developed and validated for the analysis of microplastic particles on gold coated polycarbonate filters. Our method development was supported by the design of a filter holder that minimizes filter roughness and facilitates enhanced focusing for better images and Raman measurements. The __TUM-ParticleTyper__ software is tunable to the user’s specific sample demands and can extract the morphological characteristics of detected objects (coordinates, Feret’s diameter min / max, area and shape). Results are saved in csv-format and contours of detected objects are displayed as an overlay on the original image. Additionally, the program can stitch a set of images to create a full image out of several smaller ones. An additional useful feature is the inclusion of a statistical

Author

Elisabeth von der Esch; Alexander J. Kohles; Philipp M. Anger; Roland Hoppe; Reinhard Niessner; Martin Elsner; Natalia P. Ivleva

Publisher

Public Library of Science (PLoS)

Published

2020

Language

EN