Literature DB >> 30874094

Super-resolution algorithm based on Richardson-Lucy deconvolution for three-dimensional structured illumination microscopy.

Yanwei Zhang, Song Lang, Hongwei Wang, Jiasheng Liao, Yan Gong.   

Abstract

Three-dimensional structured illumination microscopy (3D-SIM) is a wide-field super-resolution technique in fluorescent imaging that can double the resolution beyond its classical limit. We introduce, to the best of our knowledge, a new 3D reconstruction algorithm based on the Richardson-Lucy deconvolution. The 3D-SIM imaging principle and the reconstruction steps are demonstrated in detail. Microspheres and biological specimen are used to present the performance of this method. The background of the out-of-focus portion is effectively suppressed, and true optical sectioning and super-resolution can be achieved simultaneously. For the custom-built 3D-SIM and this reconstruction algorithm, the measured resolution was 99.5±5  nm laterally and 294±9  nm axially.

Year:  2019        PMID: 30874094     DOI: 10.1364/JOSAA.36.000173

Source DB:  PubMed          Journal:  J Opt Soc Am A Opt Image Sci Vis        ISSN: 1084-7529            Impact factor:   2.129


  2 in total

1.  Improved resolution in 3D structured illumination microscopy using 3D model-based restoration with positivity-constraint.

Authors:  Cong T S Van; Chrysanthe Preza
Journal:  Biomed Opt Express       Date:  2021-11-19       Impact factor: 3.732

Review 2.  State-of-the-Art Approaches for Image Deconvolution Problems, including Modern Deep Learning Architectures.

Authors:  Mikhail Makarkin; Daniil Bratashov
Journal:  Micromachines (Basel)       Date:  2021-12-14       Impact factor: 2.891

  2 in total

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