96 citations
- 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
- Instituto Tecnológico de AeronáuticaBR1 paper
- Technology Centre PragueCZ1 paper
- University of British ColumbiaCA1 paper
7 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…