Cell Detection and Tracking 2020.2

This Xtra shows how to perform cell tracking throughout a time series.

It contains:

• A python script module for enhancing the center of cell nuclei, using a Scale-Space Laplacian on Gaussian filter implemented using the scipy package,
  
• An IVP recipe for performing the detection step easily,
• A presentation with slides explaining the steps to apply the recipe on the full time series, generating the tracks, measuring statistics and visualizing the results, and a few projects to directly access intermediate or final results.
  

It relies on the dataset that is proposed in the installation folder of Amira tutorial/tracking.