Paper
4 March 2014 Accelerating localization microscopy
Patrick Fox-Roberts, Susan Cox
Author Affiliations +
Abstract
Localization microscopy methods allow the acquisition of fluorescence microscopy images with a resolution of tens of nanometres. However, these techniques are generally limited in speed because of the requirement that in each frame fluorophores must be well separated. This condition can be lifted by developing improved analysis techniques which allow data to be extracted from images in which the point spread functions of the fluorophores overlap (at the expense of an increased computational load). These improved analysis techniques build more information into the model for the system, either about the probable appearance of overlapping fluorophores in the spatial domain, or about blinking behaviour in the temporal domain. Here we discuss a method which incorporates both types of information, where we create a Hidden Markov Model including the photophysical processes occuring when fluorophores blink and bleach. This Bayesian analysis of blinking and bleaching (3B) technique allows super-resolution information to be obtained from live cells labelled with standard fluorescent proteins, with a temporal resolution of a few seconds and a spatial resolution of 50 nm.
© (2014) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Patrick Fox-Roberts and Susan Cox "Accelerating localization microscopy", Proc. SPIE 8950, Single Molecule Spectroscopy and Superresolution Imaging VII, 89500J (4 March 2014); https://doi.org/10.1117/12.2040603
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KEYWORDS
Microscopy

Point spread functions

Super resolution

Data modeling

Signal to noise ratio

Digital filtering

Image processing

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