title: Event detection by feature unpredictability in phase-contrast videos of cell cultures.
abstract: In this work we propose a novel framework for generic event monitoring in live cell culture videos, built on the assumption that unpredictable observations should correspond to biological events. We use a small set of event-free data to train a multioutput multikernel Gaussian process model that operates as an event predictor by performing autoregression on a bank of heterogeneous features extracted from consecutive frames of a video sequence. We show that the prediction error of this model can be used as a probability measure of the presence of relevant events, that can enable users to perform further analysis or monitoring of large-scale non-annotated data. We validate our approach in two phase-contrast sequence data sets containing mitosis and apoptosis events: a new private dataset of human bone cancer (osteosarcoma) cells and a benchmark dataset of stem cells.
authors.forename: Melih
authors.initials: M
authors.lastname: Kandemir
authors.forename: Jose C
authors.initials: JC
authors.lastname: Rubio
authors.forename: Ute
authors.initials: U
authors.lastname: Schmidt
authors.forename: Christian
authors.initials: C
authors.lastname: Wojek
authors.forename: Johannes
authors.initials: J
authors.lastname: Welbl
authors.forename: Björn
authors.initials: B
authors.lastname: Ommer
authors.forename: Fred A
authors.initials: FA
authors.lastname: Hamprecht
mesh_terms: D000465:Algorithms; D002453:Cell Cycle; D058948:Cell Tracking / Q000379:methods*; D002478:Cells, Cultured; D003198:Computer Simulation; D003627:Data Interpretation, Statistical; D006801:Humans; D007089:Image Enhancement / Q000379:methods; D007090:Image Interpretation, Computer-Assisted / Q000379:methods; D008858:Microscopy, Phase-Contrast / Q000379:methods*; D015233:Models, Statistical; D012516:Osteosarcoma / Q000473:pathology*; D010363:Pattern Recognition, Automated / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D013234:Stem Cells / Q000166:cytology*; D013382:Subtraction Technique