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DIC microscopy images used in: Lenz et al. 2021, "Measuring impacts of microplastic treatments via image recognition on immobilised particles below 100 µm"
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This is a second dataset file of differential interference contrast microscopy images supporting the Lenz et al. 2021 study on image recognition of microplastic particles subjected to different chemical treatments. It is a supporting data file rather than a primary research article.
The zip file contains two folders with pre- and post-treatment images of the immobilised microplastic particles. The csv file provides the polymer types that were applied to each wafer. The pdf file shows overview of all evaluated images in the same arrangement as in the quantitative heatmap figure in the manuscript. The thumbnails are placed on top of the coloured tiles of the count loss heatmap (non-corrected). In each tile the respective image pair is shown with the pre- and post-treatment condition placed in the upper and the lower half, respectively.
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DIC microscopy images used in: Lenz et al. 2021, "Measuring impacts of microplastic treatments via image recognition on immobilised particles below 100 µm"
AI summary Read the abstract
This is a dataset of differential interference contrast microscopy images supporting the Lenz et al. 2021 study on image recognition-based measurement of how chemical treatments affect microplastic particle numbers and morphology. It is a supporting image dataset rather than a primary research article.
Raman and FTIR spectra used in: Lenz et al. 2021, "Measuring impacts of microplastic treatments via image recognition on immobilised particles below 100 µm"
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This is a dataset of Raman and FTIR spectra supporting a published study by Lenz et al. 2021 that used image recognition to measure the effects of different chemical treatments on microplastic particles. The spectroscopic data enables verification and reuse of the analytical methods described in the accompanying research article.
Raman and FTIR spectra used in: Lenz et al. 2021, "Measuring impacts of microplastic treatments via image recognition on immobilised particles below 100 µm"
AI summary Read the abstract
This is a duplicate dataset record providing Raman and FTIR spectra used in the Lenz et al. 2021 study on image recognition-based measurement of microplastic treatment effects. It is a supporting data file rather than a primary research article.
Measuring impacts of microplastic treatments via image recognition on immobilised particles below 100 μm
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This study developed image recognition methods to measure the effects of sample processing steps on microplastic particles smaller than 100 micrometers. Accurate tracking of particle numbers and sizes through analysis is critical for producing reliable microplastic contamination data.
Real-time morphological detection of label-free submicron-sized plastics using flow-channeled differential interference contrast microscopy
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Researchers developed a flow-channeled differential interference contrast microscopy system capable of real-time morphological detection of label-free submicron-sized plastic particles in water, overcoming limitations of conventional bright-field microscopy for monitoring aquatic microplastic pollution.
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When a large batch of papers lands in the Atlas, we read through it and send a short write-up of what stood out.