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

作者：Wang Yina; Quan Tingwei; Zeng Shaoqun; Huang Zhen Li^*

来源：Optics Express, 2012, 20(14): 16039-16049.

DOI：10.1364/oe.20.016039

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 similar to 14-fold in obtaining a super-resolution image with the same Nyquist resolution.

• 出版日期2012-7-2
• 单位湖北第二师范学院