Open AccessEnhanced SOFI algorithm achieved with modified optical fluctuating signal extraction
Author(s) -
Shan Jiang,
Yunhai Zhang,
Huaixia Yang,
Yun Xiao,
Xiangshui Miao,
Rui Li,
Yiwen Xu,
Xin Zhang
Publication year - 2016
Publication title -
optics express
Language(s) - Uncategorized
Resource type - Journals
SCImago Journal Rank - 1.394
H-Index - 271
ISSN - 1094-4087
DOI - 10.1364/oe.24.003037
Subject(s) - stack (abstract data type) , signal (programming language) , noise (video) , computer science , optics , wavelet , image resolution , image processing , temporal resolution , wavelet transform , image (mathematics) , algorithm , computer vision , physics , programming language
In this paper, we present a modified SOFI algorithm with enhanced temporal resolution: the required number of raw images for SOFI is reduced from hundreds to tens. The modification is intended to eliminate the low-frequency fluctuation and readout noise from the raw image stack, and is achieved by separately utilizing two wavelet-based filters in the temporal and spatial domains of the raw image stack. The high-frequency stochastic fluctuating signal could be extracted effectively, and the efficiency of SOFI could be enhanced. The modified SOFI image could be generated with 25 frames of raw images, and the corresponding acquisition time was 1.25 s.