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Daniel Midvedt

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#graph neural networks Review Oct 2026

Particle tracking in quantitative microscopy: a modular tutorial on classical and deep learning methods

Particle tracking is a central tool in digital microscopy for quantifying micro- and nanoscale dynamics. Selecting and validating appropriate methods remains challenging, particularly under low signal-to-noise ratios or high particle densities and for researchers with limited computational expertise. In this talk, we p...

Aaron Domenzain Del Castillo Cerecer, Alex Lech, Jesco Schönfelder et al. · 0 citations

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