6 citations · 15 across the 5 of their papers we have counts for
5 papers
Self-Supervised Learning with Generative Adversarial Networks for Electron Microscopy
Bashir Kazimi, Karina Ruzaeva, Stefan Sandfeld
In this work, we explore the potential of self-supervised learning with Generative Adversarial Networks (GANs) for electron microscopy datasets. We show how self-supervised pretrai…
Instance Segmentation of Dislocations in TEM Images
Karina Ruzaeva, Kishan Govind, Marc Legros +1
Quantitative Transmission Electron Microscopy (TEM) during in-situ straining experiment is able to reveal the motion of dislocations -- linear defects in the crystal lattice of met…
Cell tracking for live-cell microscopy using an activity-prioritized assignment strategy
Karina Ruzaeva, Jan-Christopher Cohrs, Keitaro Kasahara +3
Cell tracking is an essential tool in live-cell imaging to determine single-cell features, such as division patterns or elongation rates. Unlike in common multiple object tracking,…
Automated Characterization of Catalytically Active Inclusion Body Production in Biotechnological Screening Systems
Karina Ruzaeva, Kira Küsters, Wolfgang Wiechert +3
We here propose an automated pipeline for the microscopy image-based characterization of catalytically active inclusion bodies (CatIBs), which includes a fully automatic experiment…
A hybrid multi-object segmentation framework with model-based B-splines for microbial single cell analysis
Karina Ruzaeva, Katharina Nöh, Benjamin Berkels
In this paper, we propose a hybrid approach for multi-object microbial cell segmentation. The approach combines an ML-based detection with a geometry-aware variational-based segmen…