Abstract
Point-spread-function engineering enables the extraction of depth information from fluorescence microscopy images by sacrificing lateral resolution and labeling density. Here, we introduce a bifurcated multimodal approach that facilitates 3D super-resolution in densely labeled samples.
© 2020 The Author(s)
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