Multimodal FACED imaging for large-scale single-cell morphological profiling

Free-space angular-chirp-enhanced delay (FACED) is an ultrafast laser-scanning technique that allows for high imaging speed at the scale orders of magnitude greater than current technologies. However, this advantage has only been restricted to bright-field and fluorescence imaging—limiting variety image contents hindering its applicability in image-based bioassay, which increasingly demands rich phenotypic readout a large scale. Here, we present new high-speed quantitative phase (QPI) based on time-interleaved phase-gradient FACED detection. We further integrate system with microfluidic flow cytometer platform enables synchronized co-registered single-cell QPI throughput 77 000 cells/s sub-cellular resolution. Combined deep learning, empowers comprehensive profiling biophysical phenotypes can offer not sufficient label-free power cell-type classification but also cell-cycle tracking accuracy comparable gold-standard method. This correlative, compartment-specific analysis spatially resolved profiles inaccessible existing methods. The content given by multimodal could open opportunities analysis, especially systematic correlates biochemical information cells, provide mechanistic insights into heterogeneities many biological processes.