NDLI: Comparison between SOFI and STORM

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Comparison between SOFI and STORM

Content Provider	Semantic Scholar
Author	Geissbühler, Stefan Dellagiacoma, Claudio Lasser, Theo
Copyright Year	2011
Abstract	A straightforward method to achieve super-resolution consists of taking an image sequence of stochastically blinking emitters using a standard wide-field fluorescence microscope. Densely packed single molecules can be distinguished sequentially in time using high-precision localization algorithms (e.g., PALM and STORM) or by analyzing the statistics of the temporal fluctuations (SOFI). In a face-to-face comparison of the two post-processing algorithms, we show that localization-based super-resolution can deliver higher resolution enhancements but imposes significant constraints on the blinking behavior of the probes, which limits its applicability for live-cell imaging. SOFI, on the other hand, works more consistently over different photo-switching kinetics and also delivers information about the specific blinking statistics. Its suitability for low SNR acquisition reveals SOFI's potential as a high-speed super-resolution imaging technique.
Starting Page	408
Ending Page	420
Page Count	13
File Format	PDF HTM / HTML
Alternate Webpage(s)	https://infoscience.epfl.ch/record/163023/files/sofivsstorm.pdf
PubMed reference number	21412447v1
Alternate Webpage(s)	https://doi.org/10.1364/BOE.2.000408
DOI	10.1364/boe.2.000408
Journal	Biomedical optics express
Volume Number	2
Language	English
Access Restriction	Open
Subject Keyword	Blinking Fluorescence Imaging Techniques Magnetic Resonance Imaging Manuscripts Microscope Device Component Pack unit Palmar surface Preparation Revision procedure Scientific Publication Sectioning technique Sleep Apnea, Obstructive Stimulation (motivation) algorithm density orders - HL7PublishingDomain
Content Type	Text
Resource Type	Article

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