148 citations · 267 across the 4 of their papers we have counts for
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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…
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…