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Super resolution of Optical Fluctuation Imaging 2.0 (SOFI-2.0): Towards fast super resolved imaging of live cells

by Xiyu Yi

Institution:	UCLA
Year:	2017
Keywords:	Chemistry; cumulants; deconvolution; live cell imaging; moments; SOFI; Superresolution
Posted:	02/01/2018
Record ID:	2176515
Full text PDF:	http://www.escholarship.org/uc/item/5xs5v4qm

Abstract

Super resolution Optical Fluctuation Imaging (SOFI) has been widely acknowledged andadvanced over the past years. Comparing to other extensively adopted super resolutiontechniques such as PALM, STORM, STED and SIM, advantages of SOFI include compatibilitywith different imaging platforms, suitability for a wide variety of probes, flexibility in imagingconditions, and a user-controlled trade-off between spatial- and temporal- resolutions. SOFItherefore holds great promise for democratizing super resolution imaging for broadapplications by non-expert practitioners. The theoretical resolution enhancement of SOFI scales as the square root of the cumulant order n, and once combined with a post-processing deconvolution algorithm, the resolution enhancement factor increases up to n. In this dissertation I will discuss the fundamental challenges faced by high order SOFI applications including pixel intensity dynamic range expansion, associated artifacts, point-spread function (PSF) estimation, and deconvolution. Several approaches for solving these challenges will be presented, that together constitute what we dub as SOFI-2.0. The power of SOFI-2.0 will be demonstrated for focal-adhesion dynamics (at super resolution) in live cells.