Automated Segmentation of Patterned Cells in Micropatterning Microscopy Images

Author:

Schurr JonasORCID,Haghofer AndreasORCID,Lanzerstorfer PeterORCID,Winkler StephanORCID

Publisher

Springer Nature Switzerland

Reference23 articles.

1. Lanzerstorfer, P., Müller, U., Gordiyenko, K., Weghuber, J., Niemeyer, C.: Highly modular protein micropatterning sheds light on the role of Clathrin-mediated endocytosis for the quantitative analysis of protein-protein interactions in live cells. Biomolecules 10, 540 (2020)

2. Scherr, T.: Cell segmentation and tracking using CNN-based distance predictions and a graph-based matching strategy. PLoS ONE 15, 1–22 (2020). https://doi.org/10.1371/journal.pone.0243219

3. Hager, R., Müller, U., Ollinger, N., Weghuber, J., Lanzerstorfer, P.: Subcellular dynamic immunopatterning of cytosolic protein complexes on microstructured polymer substrates. ACS Sens. 6, 4076–4088 (2021)

4. Schurr, J.: Automated Cell Segmentation for Micropatterning Microscopy Images. Paper presented at BIOSTEC 2022 (2021). https://biostec.scitevents.org/Abstracts.aspx

5. Schaller, S., Jacak, J., Borgmann, D., Weghuber, J., Winkler, S.: An image analysis suite for automated spot detection in cellular and nano structures of microscopy images. In: Proceedings of the 20th Annual International Conference on Intelligent Systems For Molecular Biology (ISMB) (2012)

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