@article {47811,
	title = {Highly photostable, reversibly photoswitchable fluorescent protein with high contrast ratio for live-cell superresolution microscopy.},
	journal = {Proceedings of the National Academy of Sciences of the United States of America},
	volume = {113},
	year = {2016},
	month = {2016 Aug 25},
	pages = {10364-9},
	abstract = {<p>Two long-standing problems for superresolution (SR) fluorescence microscopy are high illumination intensity and long acquisition time, which significantly hamper its application for live-cell imaging. Reversibly photoswitchable fluorescent proteins (RSFPs) have made it possible to dramatically lower the illumination intensities in saturated depletion-based SR techniques, such as saturated depletion nonlinear structured illumination microscopy (NL-SIM) and reversible saturable optical fluorescence transition microscopy. The characteristics of RSFPs most critical for SR live-cell imaging include, first, the integrated fluorescence signal across each switching cycle, which depends upon the absorption cross-section, effective quantum yield, and characteristic switching time from the fluorescent "on" to "off" state; second, the fluorescence contrast ratio of on/off states; and third, the photostability under excitation and depletion. Up to now, the RSFPs of the Dronpa and rsEGFP (reversibly switchable EGFP) families have been exploited for SR imaging. However, their limited number of switching cycles, relatively low fluorescence signal, and poor contrast ratio under physiological conditions ultimately restrict their utility in time-lapse live-cell imaging and their ability to reach the desired resolution at a reasonable signal-to-noise ratio. Here, we present a truly monomeric RSFP, Skylan-NS, whose properties are optimized for the recently developed patterned activation NL-SIM, which enables low-intensity (\~{}100 W/cm(2)) live-cell SR imaging at \~{}60-nm resolution at subsecond acquisition times for tens of time points over broad field of view.</p>
},
	issn = {1091-6490},
	doi = {10.1073/pnas.1611038113},
	author = {Zhang, Xi and Zhang, Mingshu and Li, Dong and He, Wenting and Peng, Jianxin and Betzig, Eric and Xu, Pingyong}
}
