Open Access3D resolution enhancement of deep-tissue imaging based on virtual spatial overlap modulation microscopy
Author(s) -
I-Cheng Su,
Kuan-Lun Hsu,
Po-Ting Shen,
Yen-Yin Lin,
ShiWei Chu
Publication year - 2016
Publication title -
optics express
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.394
H-Index - 271
ISSN - 1094-4087
DOI - 10.1364/oe.24.016238
Subject(s) - deconvolution , optics , point spread function , microscopy , optical transfer function , image resolution , resolution (logic) , microscope , spatial frequency , focus (optics) , image quality , ptychography , modulation (music) , computer science , diffraction , materials science , computer vision , physics , artificial intelligence , image (mathematics) , acoustics
During the last decades, several resolution enhancement methods for optical microscopy beyond diffraction limit have been developed. Nevertheless, those hardware-based techniques typically require strong illumination, and fail to improve resolution in deep tissue. Here we develop a high-speed computational approach, three-dimensional virtual spatial overlap modulation microscopy (3D-vSPOM), which immediately solves the strong-illumination issue. By amplifying only the spatial frequency component corresponding to the un-scattered point-spread-function at focus, plus 3D nonlinear value selection, 3D-vSPOM shows significant resolution enhancement in deep tissue. Since no iteration is required, 3D-vSPOM is much faster than iterative deconvolution. Compared to non-iterative deconvolution, 3D-vSPOM does not need a priori information of point-spread-function at deep tissue, and provides much better resolution enhancement plus greatly improved noise-immune response. This method is ready to be amalgamated with two-photon microscopy or other laser scanning microscopy to enhance deep-tissue resolution.