Dresden 2020 – wissenschaftliches Programm
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BP 18.27: Poster
Dienstag, 17. März 2020, 14:00–16:00, P2/2OG
A large scan are AFM with convolutional neural network image segmentation for live cell measurements — •Todor Krastev and Tilman E. Schäffer — Universität Tübingen, Institut für Angewandte Physik, Auf der Morgenstelle 10, 72076 Tübingen
The atomic force microscope (AFM) has become a robust and versatile tool for the investigation of mechanical properties of single cells. We have developed an AFM with a large scan range of 25 mm in xy-direction. This enables us to access high numbers of cells for mechanical measurements. In order to harness the full potential of our setup we employ state of the art convolutional neural networks for single cell detection, thereby facilitating high throughput measurements on single cells. To demonstrate the setup's potential we investigate the influence of common live fluorescent dyes on single cell mechanics. Our investigation is focused on SiR-actin and SiR-tubulin as these dyes target principal components of the cytoskeleton.