148 citations · 267 across the 4 of their papers we have counts for
4 papers
Boosting the performance of anomalous diffusion classifiers with the proper choice of features
Patrycja Kowalek, Hanna Loch-Olszewska, Łukasz Łaszczuk +2
Understanding and identifying different types of single molecules' diffusion that occur in a broad range of systems (including living matter) is extremely important, as it can prov…
Objective comparison of methods to decode anomalous diffusion
Gorka Muñoz-Gil, Giovanni Volpe, Miguel Angel Garcia-March +31
Deviations from Brownian motion leading to anomalous diffusion are found in transport dynamics from quantum physics to life sciences. The characterization of anomalous diffusion fr…
Classification of particle trajectories in living cells: machine learning versus statistical testing hypothesis for fractional anomalous diffusion
Joanna Janczura, Patrycja Kowalek, Hanna Loch-Olszewska +2
Single-particle tracking (SPT) has become a popular tool to study the intracellular transport of molecules in living cells. Inferring the character of their dynamics is important,…
Classification of diffusion modes in single-particle tracking data: Feature-based versus deep-learning approach
Patrycja Kowalek, Hanna Loch-Olszewska, Janusz Szwabiński
Single-particle trajectories measured in microscopy experiments contain important information about dynamic processes undergoing in a range of materials including living cells and…