Published May 15, 2023
| Version v1
Dataset
Open
Data example and code used in the publication "Is transport of microplastics different from that of mineral dust? Results from idealized wind tunnel studies"
Authors/Creators
- 1. University of Bayreuth
Description
Background
The code labels microspheres and counts them. Further, the code determines which microspheres are independent of microsphere-microsphere collisions by their relative position to the other microspheres in an image. Images were taken with a full-frame visual camera (Sony Alpha 7RII) with a long-distance-microscopy lens (K2 DistaMax).
Description of the dataset
- image_data_all.zip contains 228 tif-format images taken in a single experiment
- the images show borosilicate microspheres with diameters from 63 to 75 µm
- during the experiment, the microspheres are detached from the substrate and are transported out of the image
- functions_particle_labeling.jl contains all necessary functions for particle labeling
- analysis_protocol.jl is an example, that first determines a color threshold, and then labels all microspheres in all images stored in "image_data_all/substrate_a/image_data_single_experiment"
- post_processing_visualisation.R is an r-script, that reads the output of analysis_protocol.jl and demonstrates how logistic functions were fitted to the data
We used julia 1.8.5 and R 4.3.0.
Notes
Files
image_data_all.zip
Additional details
References
- Bezanson, J., Edelman, A., Karpinski, S., and Shah, V.B. (2017). Julia: A Fresh Approach to Numerical Computing. SIAM Rev 59 (1):65–98. doi:10.1137/141000671.
- R Core Team (2023). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria.