Informatics colloquium 21. 11. Segmentation and Tracking of Spiky Cells
Informatics colloquium 21. 11. 2017, 14:00 lecture hall D2
RNDr. Martin Maška, Ph.D., FI MU
Segmentation and Tracking of Spiky Cells
Abstract: To monitor their surroundings and to promote their movement, motile
cells protrude spikes. Although modern fluorescence microscopy allows us to
observe spiky cells at unprecedented spatio-temporal resolutions, a fully 3D
image analysis approach to automatically quantifying the behavior of spikes is
still lacking. In this talk, we briefly explain crucial aspects of such a
quantitative task and present our recent advances in the field, demonstrating
how convolutional neural networks combined with realistic computer-generated
image data help to increase segmentation and tracking performance beyond that of
traditional image analysis approaches without machine learning.