Abstract
Fluorescence localisation microscopy is a powerful tool for imaging cell structures at a lengthscale of tens of nm, but its utility for live cell imaging is limited, as it takes a long time to acquire the data needed for a super-resolution image. However, the data acquisition time can be cut by more than two orders of magnitude by using advanced algorithms which can analyse dense data. Different algorithms offer tradeoffs between acquisition and processing time, and quality of the fitted data.
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