• Journal of Innovative Optical Health Sciences
  • Vol. 9, Issue 3, 1630002 (2016)
Qiang Yang, Liangcai Cao*, Hua Zhang, Hao Zhang, and Guofan Jin
Author Affiliations
  • State Key Laboratory of Precision Measurement Technology and Instruments Tsinghua University, Beijing 100084, P. R. China
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    DOI: 10.1142/s1793545816300020 Cite this Article
    Qiang Yang, Liangcai Cao, Hua Zhang, Hao Zhang, Guofan Jin. Method of lateral image reconstruction in structured illumination microscopy with super resolution[J]. Journal of Innovative Optical Health Sciences, 2016, 9(3): 1630002 Copy Citation Text show less

    Abstract

    The image reconstruction process in super-resolution structured illumination microscopy (SIM) is investigated. The structured pattern is generated by the interference of two Gaussian beams to encode undetectable spectra into detectable region of microscope. After parameters estimation of the structured pattern, the encoded spectra are computationally decoded and recombined in Fourier domain to equivalently increase the cut-off frequency of microscope, resulting in the extension of detectable spectra and a reconstructed image with about two-fold enhanced resolution. Three different methods to estimate the initial phase of structured pattern are compared, verifying the auto-correlation algorithm affords the fast, most precise and robust measurement. The artifacts sources and detailed reconstruction flowchart for both linear and nonlinear SIM are also presented.
    Qiang Yang, Liangcai Cao, Hua Zhang, Hao Zhang, Guofan Jin. Method of lateral image reconstruction in structured illumination microscopy with super resolution[J]. Journal of Innovative Optical Health Sciences, 2016, 9(3): 1630002
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