Sarah Schneider from the research group High-Performance Vision Systems at the Center for Vision, Automation & Control, has not only successfully completed her master thesis entitled "Segmentation of collagen fibrils and proteoglycans from reconstructed tilt series acquired by TEM.", but her results have been published in the journal "Acta Biomaterialia" as part of a paper.
The paper "An ultrastructural 3D reconstruction method for observing the arrangement of collagen fibrils and proteoglycans in the human aortic wall under mechanical load" deals with research on biomechanical properties of human aortas. Special attention was paid to two components of the tissue - collagen fibrils and proteoglycans. Aortic specimens were subjected to various degrees of mechanical stress and the tissue was then imaged by a transmission electron microscope. The collagen fibrils and proteoglycans were then segmented in the three-dimensional image data and examined to see how they are arranged relative to each other and how their arrangement relative to each other changes when the tissue is mechanically stimulated.
"In the figure you can see the segmentation very nicely, the long green strands are the collagen fibrils and the yellow smaller objects are the proteoglycans," Sarah Schneider said.
Not only was Sarah's master's thesis research included, but in addition, the team has now won the Best Collaborative Paper Award 2022!
Sarah Schneider is now already working on the next project at High-Performance Vision Systems, her dissertation on the topic "Explainable AI for Anomaly Detection".
Congratulations on this success!
View the paper:
Anna Pukaluk, Anna-Sophie Wittgenstein, Gerd Leitinger, Dagmar Kolb, Dominique Pernitsch, Sarah A. Schneider, Patrick Knöbelreiter, Verena Horak, Kristian Bredies, Gerhard A. Holzapfel, Thomas Pock, Gerhard Sommer: An ultrastructural 3D reconstruction method for observing the arrangement of collagen fibrils and proteoglycans in the human aortic wall under mechanical load;
Acta Biomaterialia, Volume 141, 2022, Pages 300-314,
ISSN 1742-7061
https://doi.org/10.1016/j.actbio.2022.01.036.