A generalized labeled multi-Bernoulli tracker for time lapse cell migration
MetadataShow full item record
© 2017 IEEE. Tracking is a means to accomplish the more fundamental task of extracting relevant information about cell behavior from time-lapse microscopy data. Hence, characterizing uncertainty or confidence in the information inferred from the data is as important as the tracking of the cells. In this paper, we show that in addition to being a principled Bayesian multi-object tracking approach, the Random Finite Set (RFS) framework is capable of providing consistent characterization of uncertainty for the information inferred from the data. In particular, we use an efficient implementation of the Generalized Labeled Multi-Bernoulli (GLMB) filter to track a large number of cells in a cell migration experiment and demonstrate how to characterize uncertainty on variables inferred from the data such as cell counts, survival rate, birth rate, mean position, mean velocity using standard constructs from RFS theory.
Showing items related by title, author, creator and subject.
Dat Nguyen, T.; Kim, Du Yong (2018)© 2018 IEEE. In this paper, we propose an algorithm for tracking cells that also provides lineage information. Our approach incorporates cell spawning into the random finite set dynamic model of the cell population, which ...
Schmeckpeper, J.; Ikeda, Y.; Kumar, A.; Metharom, Pat; Russell, S.; Caplice, N. (2009)Lentiviral vectors encoding for identifiable marker genes controlled by lineage-specific promoters can be used to track differentiation of bone marrow progenitors into endothelial cells and/or smooth muscle cells. Human ...
Revealing the Penumbra through Imaging Elemental Markers of Cellular Metabolism in an Ischemic Stroke ModelPushie, M.; Crawford, A.; Sylvain, N.; Hou, H.; Hackett, Mark; George, G.; Kelly, M. (2018)Stroke exacts a heavy financial and economic burden, is a leading cause of death, and is the leading cause of long-term disability in those who survive. The penumbra surrounds the ischemic core of the stroke lesion and ...