Blind optical sectioning and super-resolution imaging in multifocal structured illumination microscopy
Blind optical sectioning and super-resolution imaging in multifocal structured illumination microscopy
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DOI:
10.1016/j.optcom.2022.127981
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发表时间:
2022-01
影响因子:
2.4
通讯作者:
Jinhua Geng;Bin Yu;Wei Zhang;Jiongguang Zhu;Binhui Zhang;Weihao Chen;Sitao Chen;J. Qu
中科院分区:
文献类型:
--
作者:
Jinhua Geng;Bin Yu;Wei Zhang;Jiongguang Zhu;Binhui Zhang;Weihao Chen;Sitao Chen;J. Qu
Using sparse multi-spot patterns, multifocal structured illumination microscopy (MSIM) can retrieve the 3D structures of thick samples with improved lateral resolution. In the existing MSIM techniques, the accurate parameters of microscope and positions of the illumination focus in the captured images are essential for suppressing the out-of-focus light and improving the lateral resolution. Tedious calibration procedures thus should be carried out in these MSIM techniques. Hence, a blind optical sectioning and super-resolution (OS-SR) imaging method in MSIM is proposed in this paper. The proposed method combines a deconvolution method with the standard deviation method. It can achieve OS-SR images without calibrating the accurate parameters of microscope and the positions of the foci. The validity of the proposed method is demonstrated by simulation and experimental results.