96 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Technische Universität DarmstadtDE2 papers
- The University of SydneyAU2 papers
- UNSW SydneyAU2 papers
- ARC Centre of Excellence for Innovations in Peptide and Protein ScienceAU1 paper
- Australian National UniversityAU1 paper
- Halmstad UniversitySE1 paper
- Imperial College LondonGB1 paper
- Instituto Tecnológico de AeronáuticaBR1 paper
- Linköping UniversitySE1 paper
- Technology Centre PragueCZ1 paper
- University of British ColumbiaCA1 paper
- University of LuxembourgLU1 paper
8 papers
Computational and Experimental Exploration of Protein Fitness Landscapes: Navigating Smooth and Rugged Terrains
Mahakaran Sandhu, John Chen, Dana Matthews +6
Proteins evolve through complex sequence spaces, with fitness landscapes serving as a conceptual framework that links sequence to function. Fitness landscapes can be smooth, where…
The TYC Dataset for Understanding Instance-Level Semantics and Motions of Cells in Microstructures
Christoph Reich, Tim Prangemeier, Heinz Koeppl
Segmenting cells and tracking their motion over time is a common task in biomedical applications. However, predicting accurate instance-wise segmentation and cell motions from micr…
An Instance Segmentation Dataset of Yeast Cells in Microstructures
Christoph Reich, Tim Prangemeier, André O. Françani +1
Extracting single-cell information from microscopy data requires accurate instance-wise segmentations. Obtaining pixel-wise segmentations from microscopy imagery remains a challeng…
Using holographic microscopy to measure the effect of confinement on crowding agents in lipid vesicles
Yaam Deckel, Lauren A. Lowe, Siddharth Rawat +3
The hydrodynamic effects of macromolecular crowding inside cells is often studied in vitro by using polymers as crowding reagents. Confinement of polymers inside cell-sized droplet…
Measuring vesicle loading with holographic microscopy and bulk light scattering
Lan Hai Anh Tran, Lauren A. Lowe, Matthew Turner +5
We report efforts to quantify the loading of cell-sized lipid vesicles using in-line digital holographic microscopy. This method does not require fluorescent reporters, fluorescent…
Attention-Based Transformers for Instance Segmentation of Cells in Microstructures
Tim Prangemeier, Christoph Reich, Heinz Koeppl
Detecting and segmenting object instances is a common task in biomedical applications. Examples range from detecting lesions on functional magnetic resonance images, to the detecti…
Multiclass Yeast Segmentation in Microstructured Environments with Deep Learning
Tim Prangemeier, Christian Wildner, André O. Françani +2
Cell segmentation is a major bottleneck in extracting quantitative single-cell information from microscopy data. The challenge is exasperated in the setting of microstructured envi…
Dynamic Network Reconstruction from Heterogeneous Datasets
Zuogong Yue, Johan Thunberg, Wei Pan +2
Performing multiple experiments is common when learning internal mechanisms of complex systems. These experiments can include perturbations to parameters or external disturbances.…