  In this paper we study the problem of estimating the migration direction of
cells based on a single image. To the best of our knowledge, there is only one
related work that uses a classification CNN for four classes (quadrants). This
approach does not allow detailed directional resolution. We solve the single
image estimation problem using deep circular regression with special attention
to cycle-sensitive methods. On two databases we achieve an average accuracy of
$\sim$17 degrees, which is a significant improvement over the previous work.
