Optimizing cell cycle analysis with the right algorithms
Thursday, January 7, 2016 - 08:03
in Astronomy & Space
Scientists of the the Helmholtz Zentrum München have found a new approach improving the identification of cell cycle phases using imaging flow cytometry data. They could avoid the use of stains by applying algorithms from machine learning. With the help of an imaging software they extracted hundreds of features from bright field and dark field images. Using this data they could generate algorithms that can sort the cells digitally.
