| | |
Summary: SPATIOTEMPORAL SEGMENTATION FOR VALIDATION OF ROLLING LEUKOCYTE
TRACKING DATA
Nilanjan Ray1
and Scott T. Acton1,2
Department of Electrical and Computer Engineering1
Department of Biomedical Engineering2
University of Virginia, Charlottesville, VA 22904
ABSTRACT
Processing of bulk microscopy video data requires
automated tracking of rolling leukocytes in the hundreds to
compute a rolling velocity distribution, which is an
indispensable descriptor in inflammation research and anti-
/pro-inflammatory drug testing. However, for any automated
tracking method to be successful, an automated validation
process must exist to accept or reject the output of tracking.
In this paper, we propose an automated validation technique
that first generates a spatiotemporal image from the cell
locations output by a tracking method; then, it segments the
spatiotemporal image to detect the presence or absence of a
leukocyte by employing an edge-response filter followed by
|
