Non Invasive Live Cell Cycle Monitoring using Quantitative Phase Imaging and Proximal Machine Learning Methods.
Philippe PognonecMichel BarlaudBenoît WattellierThierry PourcherYuxiang ZhouSherazade AknounManuel YonnetMarc AntoniniPublished in: CBMS (2019)
Keyphrases
- machine learning methods
- cell cycle
- phase contrast images
- machine learning
- machine learning algorithms
- cell division
- microscopy images
- systems biology
- real time
- biological processes
- data acquisition
- protein protein interactions
- machine learning approaches
- experimental conditions
- monitoring system
- ensemble methods
- statistical methods
- high throughput
- computational biology
- transcription factors
- data sets
- component analysis
- biologically inspired
- network topology