PALMER: a method capable of parallel localization of multiple emitters for high-density localization microscopy

Developing methods for high-density localization of multiple emitters is a promising approach for enhancing the temporal resolution of localization microscopy while maintaining a desired spatial resolution, but the widespread use of this approach is thus far mainly obstructed by the slow image analy...

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Bibliographic Details
Published in:Optics express 2012-07, Vol.20 (14), p.16039-16049
Main Authors: Wang, Yina, Quan, Tingwei, Zeng, Shaoqun, Huang, Zhen-Li
Format: Article
Language:English
Subjects:
Bayes Theorem
Computer Graphics
Computer Simulation
Image Processing, Computer-Assisted
Microscopy - instrumentation
Microscopy - methods
Time Factors
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Summary:Developing methods for high-density localization of multiple emitters is a promising approach for enhancing the temporal resolution of localization microscopy while maintaining a desired spatial resolution, but the widespread use of this approach is thus far mainly obstructed by the slow image analysis speed. Here we present a high-density localization method based on the combination of Graphics Processing Unit (GPU) parallel computation, multiple-emitter fitting, and model recommendation via Bayesian Information Criterion (BIC). This method, called PALMER, exhibits satisfactory localization accuracy comparable with the previous reported SSM_BIC method, while executes more than two orders of magnitudes faster. Meanwhile, compared to the conventional localization microscopy which is based on sparse emitter localization, high-density localization microscopy based the PALMER method allows a speed gain of up to ~14-fold in obtaining a super-resolution image with the same Nyquist resolution.
ISSN:1094-4087
1094-4087
DOI:10.1364/oe.20.016039