Abstract
Single molecule localization microscopy (SMLM) captures biological structures at nanoscale spatial resolution and has become an important tool for discovery in cell biology in recent years. However, tools that enable robust quantification of complex biological structures have lagged behind. In this study, we developed a new method to quantitatively describe and classify a wide range of diverse biological structures in SMLM data and have applied it to describe the degradation process of neuronal Tau protein aggregates, an important precursor in neurodegenerative diseases.
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