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MC 2023
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Posters on the topic "Poster session LS 4: Image analysis of large data sets"
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LS4.P001
Machine learning and pollen Identification: CNN for identification of Ambrosia among late season pollen
Dennis Reupke-Hager (Warendorf / DE)
Lars Hildebrand (Bochum / DE)
Georg Meinardus-Hager (Warendorf / DE)
LS4.P002
Influence of segmentation protocols on simulations based on 3D X-ray microscopy images
Murilo Izidoro Santos (Halle (Saale) / DE)
LS4.P003
High-throughput transmission electron microscopy for screening yeast deletion mutants
Moritz Mayer (Bayreuth / DE)
LS4.P004
Step-by-step pre-processing of 3D SEM images of neurons
Snježana Radulović (Graz / AT)
LS4.P005
Membrane analysis toolkit: a quantitative way to analyse protein lipid mixtures from cryo-EM images
Philipp Schönnenbeck (Jülich / DE)
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