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ImmobileParticles_MatchAndAnalyse: python code used for analysis of image data in Lenz et al. 2021, "Measuring impacts of microplastic treatments via image recognition on immobilised particles below 100 µm"

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 09 Mar 2021 English Publisher:ZenodoFunded by:EC | BONUS
Authors: Lenz, Robin; Enders, Kristina; Fischer, Franziska; Brandt, Josef; Fischer, Dieter; Labrenz, Matthias;

doi: 10.5281/zenodo.4592320 , 10.5281/zenodo.4592319

ImmobileParticles_MatchAndAnalyse: python code used for analysis of image data in Lenz et al. 2021, "Measuring impacts of microplastic treatments via image recognition on immobilised particles below 100 µm"

Abstract

This release contains all files as they were used in the analysis of the image data and to prepare the manuscript. At this stage, to run the analysis, paths to images and csv files need to be set manually in order to work on your system. Also several TODOs and comments from the development phase are left inside some files, to enable easier continuation of development work at a later point. Feel free to open issues on github, if you are experiencing problems using the code. https://github.com/robna/ImmobileParticles_MatchAndAnalyse

Funding of this study was received from the project MicroCatch_balt (German Federal Ministry of Education and Research (BMBF), grant number 03F0788A) and the BONUS project Micropoll (funded jointly by the European Union and the BMBF, grant number 03F0775A).

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Keywords

microplastics microscopy image analysis python altair

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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