PND37 RESPONSIVENESS AND CLINICAL IMPORTANT DIFFERENCES OF THE FUNCTIONAL ASSESSMENT OF MULTIPLE SCLEROSIS: RESULTS OF A LARGE MULTINATIONAL OBSERVATION STUDY

Digitalitzat per Artypla

Label-free cell cycle analysis for high-throughput imaging flow cytometry

Imaging flow cytometry combines the high-throughput capabilities of conventional flow cytometry with single-cell imaging. Here we demonstrate label-free prediction of DNA content and quantification of the mitotic cell cycle phases by applying supervised machine learning to morphological features extracted from brightfield and the typically ignored darkfield images of cells from an imaging flow cytometer. This method facilitates non-destructive monitoring of cells avoiding potentially confounding effects of fluorescent stains while maximizing available fluorescence channels. The method is effective in cell cycle analysis for mammalian cells, both fixed and live, and accurately assesses the impact of a cell cycle mitotic phase blocking agent. As the same method is effective in predicting the DNA content of fission yeast, it is likely to have a broad application to other cell types

Treatment experience, burden and unmet needs (TRIBUNE) in MS study: results from Italy

The article reports methods and results of a multicentre study on the burden of disease of SM in Italy