search

jni / pia-tracking

Scripts to work with Pia Larsson's platelet tracking data
BSD 3-Clause "New" or "Revised" License
4 stars 0 forks source link

Try using btrack for tracking #5

Open jni opened 4 years ago

jni commented 4 years ago

The tracking model in trackpy is super simple (nearest neighbour assignment). We can probably do better!

nikkotinto commented 4 years ago

btrack definitely sounds interesting. One major limitation with the current tracking method is that it doesn't track platelets moving more than 3 microns between frames to avoid false positives. If we want to improve our ability to track the fast-moving platelets that Pia has been observing in the 'arms' of the thrombi during certain phases of the experiments this might be a problem. Maybe Pia can provide a movie to illustrate?

jni commented 4 years ago

Yep, that's the sort of limitation that btrack should be able to avoid! For reference the README is great:

https://github.com/quantumjot/BayesianTracker#bayesian-tracker-btrack-microscopecomputer