Geissbuehler S, Dellagiacoma C, Lasser T. Comparison between SOFI and STORM.
BIOMEDICAL OPTICS EXPRESS 2011;
2:408-20. [PMID:
21412447 PMCID:
PMC3047347 DOI:
10.1364/boe.2.000408]
[Citation(s) in RCA: 54] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/15/2010] [Revised: 12/16/2010] [Accepted: 01/14/2011] [Indexed: 05/07/2023]
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.
Collapse