UAlberta Math Bio Seminar: Jay Newby

  • Date: 01/23/2023
  • Time: 14:00
Jay Newby, University of Alberta

University of Alberta


Modeling and tracking random motion in micrometer-scale living systems


The data association problem is the difficult part of the multi-object tracking problem. The problem is to:

(i) classify measurements (e.g., position, shape, etc) as true positives or false positives,

(ii) classify tracked objects as observed (i.e., measured) or unobserved at each time, and

(iii) constructing a map (for each time step) from observed objects to true positive measurements.

I will share a recent breakthrough in applying MCMC methodology for approximating the distribution of tracking "hypotheses": the distribution over all possible tracks from a given dataset. I will illustrate the result with examples from tracking objects in microscopy videos, including salmonella, nuclei in fungal syncytia, and diatoms.

Other Information: 

Location: Hybrid (In-person: 3-25 SAB, OnlineJoin Zoom meeting (Meeting ID: 984 9769 5684; Passcode:32123)


Time: 3pm Mountain/ 2pm Pacific