Paper
13 February 2012 Optimal acquisition schemes for superresolution localization microscopy of bleachable fluorophores
Alex Small, Edward Shore
Author Affiliations +
Abstract
Superresolution localization microscopy (e.g. PALM, STORM) builds images with sub-wavelength resolution by analyzing a series of frames containing sparse, non-overlapping single-fluorophore images. A different set of fluorophores is activated in each frame, and the key parameter controlled by the user is the fraction of fluorophores activated. Using variational techniques, we show that the optimal activation probability, which is the result of a tradeoff between speed and accuracy, depends sensitively on two factors: Whether activation and fluorescent emission are controlled by separate wavelengths or by the same wavelength, and (in the single wavelength case) the detailed kinetics of the bleaching process. Here our approach is extended to the case of multi-fluorophore superresolution techniques, where we show that situations that would be ill-suited to singlefluorophore localization are well-suited to multi-fluorophore localization.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Alex Small and Edward Shore "Optimal acquisition schemes for superresolution localization microscopy of bleachable fluorophores", Proc. SPIE 8228, Single Molecule Spectroscopy and Superresolution Imaging V, 82280Q (13 February 2012); https://doi.org/10.1117/12.907406
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KEYWORDS
Super resolution

Microscopy

Photons

Absorption

Luminescence

Image resolution

Control systems

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