In many fields of life and physical sciences, studying cell dynamics and function using microscopes is an essential task. This work is a collaboration with the biochemical scientists who studies time-evolving patterns of cellular behaviors. The studies routinely generate large amounts of videos with various experimental conditions. It is very time- consuming for the scientists to watch each video and manually extract features-of-interest for further comparative and quantitative studies.
With our visualization tool, scientists are able to conveniently observe, select and isolate, and compare and analyze the cellular behaviors from different perspectives within one framework. The tremendous time and effort saved allow scientist to focus on deriving the actual meaning behind certain observed behaviors.
Paper:
Chuan Wang, Jia-Kai Chou, Kwan-Liu Ma, Arpad Karsai, Ying X. Liu, Evgeny Ogorodnik , Victoria Tran, Gang-Yu Liu.
An Interactive Visual Analysis Tool for Cellular Behavior Studies using Large Collections of Microscopy Videos. The Second IEEE International Conference on Multimedia Big Data (BigMM 2016). 2016 Apr pdf | bibTex
Video:
Introduction | Paper Presentation
Slides:
BigMM 2016
Personnel:
Computer Science, UC Davis
Computer Science, UC Davis
Computer Science, UC Davis
Chemistry, UC Davis
Chemistry, UC Davis
Chemistry, UC Davis
Chemistry, UC Davis
Chemistry, UC Davis