Session 4: Friday, October, 1st, 2021, 9:00am – 10:30am
Mechanocytometry is a class of newly emerging cytometry methods that allow for mechanical characterization of cells at high throughputs. Since the mechanical properties of cells are an inherent marker of cell state in health and disease, they constitute a valuable addition to conventionally acquired cell parameters that can lead to improved diagnostics. Typically, mechanocytometry methods rely on the integration of microfluidics with fast-speed imaging. The thousands of acquired images can be used not only for the derivation of cell deformation and thus mechanical properties, but also to train deep neural networks for an unbiased and label-free classification of the cells of interest. In our session, we will showcase the newest developments in the mechanocytometry field, including its potential use in diagnostics, as well as its integration with artificial intelligence and other modalities, such as Raman spectroscopy or downstream sorting.
Chair: Oliver Otto, Marta Urbanska
Image-activated cell sorting and beyond
Intelligent image-based deformation-assisted cell sorting with molecular specificity
Role of normal forces mediated by Methyl cellulose in cell mechanical assays
De novo identification of universal cell mechanics regulators