A5068450923- Fractional Differential Equations Solutions
- stochastic dynamics and bifurcation
- Lipid Membrane Structure and Behavior
- Diffusion and Search Dynamics
- Domain Adaptation and Few-Shot Learning
- Machine Learning and Data Classification
- Digital Imaging for Blood Diseases
- Landslides and related hazards
- NMR spectroscopy and applications
- Gaussian Processes and Bayesian Inference
- Metabolomics and Mass Spectrometry Studies
- Yersinia bacterium, plague, ectoparasites research
- Analytical Chemistry and Chromatography
- Advanced Chemical Sensor Technologies
- Electrostatics and Colloid Interactions
- Hydrology and Drought Analysis
- Cell Image Analysis Techniques
AGH University of Krakow
2019-2022
Wrocław University of Science and Technology
2019-2022
Deviations from Brownian motion leading to anomalous diffusion are ubiquitously found in transport dynamics, playing a crucial role phenomena quantum physics life sciences. The detection and characterization of the measurement an individual trajectory challenging tasks, which traditionally rely on calculating mean squared displacement trajectory. However, this approach breaks down for cases important practical interest, e.g., short or noisy trajectories, ensembles heterogeneous non-ergodic...
Single-particle trajectories measured in microscopy experiments contain important information about dynamic processes undergoing a range of materials including living cells and tissues. However, extracting that is not trivial task due to the stochastic nature particles' movement sampling noise. In this paper, we adopt deep-learning method known as convolutional neural network (CNN) classify modes diffusion from given trajectories. We compare fully automated approach working with raw data...
Single-particle tracking (SPT) has become a popular tool to study the intracellular transport of molecules in living cells. Inferring character their dynamics is important, because it determines organization and functions For this reason, one first steps analysis SPT data identification diffusion type observed particles. The most method identify class trajectory based on mean square displacement (MSD). However, due its known limitations, several other approaches have been already proposed....
Understanding and identifying different types of single molecules' diffusion that occur in a broad range systems (including living matter) is extremely important, as it can provide information on the physical chemical characteristics particles' surroundings. In recent years, an ever-growing number methods have been proposed to overcome some limitations mean-squared displacements approach tracer diffusion. March 2020, Anomalous Diffusion (AnDi) Challenge was launched by community...