3 citations · 3 across the 2 of their papers we have counts for
2 papers
stat.ME2025
A likelihood-based Bayesian inference framework for the calibration of and selection between stochastic velocity-jump models
Arianna Ceccarelli, Alexander P. Browning, Tai Chaiamarit +2
Advances in experimental techniques allow the collection of high-resolution spatio-temporal data that track individual motile entities. These tracking data can be used to calibrate…
eess.IV2023★ 3 cited
Universal adaptive optics for microscopy through embedded neural network control
Qi Hu, Martin Hailstone, Jingyu Wang +10
The resolution and contrast of microscope imaging is often affected by aberrations introduced by imperfect optical systems and inhomogeneous refractive structures in specimens. Ada…