Sectioning and super-resolution using unknown random patterns

Zachary R. Hoffman; Charles A. DiMarzio

doi:10.1117/12.2214421

9 March 2016 Sectioning and super-resolution using unknown random patterns

Zachary R. Hoffman, Charles A. DiMarzio

Proceedings Volume 9713, Three-Dimensional and Multidimensional Microscopy: Image Acquisition and Processing XXIII; 971306 (2016) https://doi.org/10.1117/12.2214421
Event: SPIE BiOS, 2016, San Francisco, California, United States

Abstract

Random structured illumination patterns are used to demonstrate effective sectioning as well as super-resolution images in conjunction with an incoherent light source. By projecting patterns of varied spatial frequencies and using blind deconvolution of an unknown point spread function, super-resolution is achieved. Random patterns produce more consistent sectioning and super-resolution given an unknown optical transfer function. Further, using a randomly distributed pattern provides a low cost solution to obtaining information similar to that produced in confocal microscopy and other methods of structured illumination, without the requirement of precise projection patterns, coherent light sources, or fluorescence.

Conference Presentation

Citation Download Citation

Zachary R. Hoffman and Charles A. DiMarzio "Sectioning and super-resolution using unknown random patterns", Proc. SPIE 9713, Three-Dimensional and Multidimensional Microscopy: Image Acquisition and Processing XXIII, 971306 (9 March 2016); https://doi.org/10.1117/12.2214421

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