Probabilistic Optically-Selective Single-molecule Imaging Based Localization Encoded (POSSIBLE) Microscopy for Ultra-superresolution Imaging
Partha Pratim Mondal

TL;DR
POSSIBLE microscopy is a novel super-resolution imaging method that filters molecules based on size distribution to achieve ultra-high resolution, demonstrated by improved cluster imaging in cells.
Contribution
It introduces a narrow size-spectrum filtering approach in single-molecule localization microscopy to enhance resolution beyond traditional methods.
Findings
Achieved average PSF sizes of 15 nm, 30 nm, and 50 nm in imaging.
Demonstrated improved resolution of molecular clusters in cells.
Capable of approaching infinite resolution with sufficient fortunate molecules.
Abstract
To be able to resolve molecular-clusters it is crucial to access vital informations (such as, molecule density and cluster-size) that are key to understand disease progression and the underlying mechanism. Traditional single-molecule localization microscopy (SMLM) techniques use molecules of variable sizes (as determined by its localization precisions (LPs)) to reconstruct super-resolution map. This results in an image with overlapping and superimposing PSFs (due to a wide size-spectrum of single molecules) that degrade image resolution. Ideally it should be possible to identify the brightest molecules (also termed as, fortunate molecules) to reconstruct ultra-superresolution map, provided sufficient statistics is available from the recorded data. POSSIBLE microscopy explores this possibility by introducing narrow probability size-distribution of single molecules (narrow size-spectrum…
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