Machine learning and interactive visualization applied to TB-sized images of stem cells
- Resource Type
- Conference
- Authors
- Amelot, Julien; Bajcsy, Peter; Plant, Anne; Brady, Mary
- Source
- 2014 IEEE International Conference on Big Data (Big Data) Big Data (Big Data), 2014 IEEE International Conference on. :4-4 Oct, 2014
- Subject
- Bioengineering
Computing and Processing
Geoscience
Nuclear Engineering
Robotics and Control Systems
Signal Processing and Analysis
Data visualization
Stem cells
Computational modeling
Predictive models
Feature extraction
Big data
Laboratories
Big Data
Parallel Computing
Machine Learning
Predictive Modeling
Interactive Data Visualization
Image Processing
- Language
In order to characterize the growth and properties of stem cell colonies with high statistical significance, we address the problem of applying machine learning and interactive web visualizations to TB-sized images. Overcoming the computational challenges and designing advanced visualizations enabled knowledge discovery and quantitative analysis at unprecedented scales in cell microscopy.