Motion type classification and motion type prediction error analysis integrated in OMEGA
OMEGA motion type classification module
Thanks to the work led by Caterina and Ivo, financially supported by Eric and conducted by Vanni, Alex and Tiziano, a method to determine the motion type of trajectory segments and to automatically compute the prediction error associated with motion type classification, has been integrated into OMEGA. Using this functionality, after having identified viral particle trajectories and having manually subdivided each trajectory in segments displaying uniform motility, the user will be able to utilize the motion classification method described by Ewers et. al 2005 to assess the type of motion associated with each individual segment and estimate the expected error associated with the estimation, based on the image noise and the trajectory length.