Reversible photoswitching of individual molecules has been demonstrated for a number of mutants of the green fluorescent protein (GFP). To date, however, a limited number of switching events with slow response to light have been achieved at the single-molecule level. Here, we report reversible photoswitching characteristics observed in individual molecules of Dronpa, a mutant of a GFP-like fluorescent protein that was cloned from a coral Pectiniidae. Ensemble spectroscopy shows that intense irradiation at 488 nm changes Dronpa to a dim protonated form, but even weak irradiation at 405 nm restores it to the bright deprotonated form. Although Dronpa exists in an acid-base equilibrium, only the photoinduced protonated form shows the switching behavior. At the single-molecule level, 488-and 405-nm lights can be used to drive the molecule back and forth between the bright and dim states. Such reversible photoswitching could be repeated >100 times. The response speed to irradiation depends almost linearly on the irradiation power, with the response time being in the order of milliseconds. The perfect reversibility of the Dronpa photoswitching allows us to propose a detailed model, which quantitatively describes interconversion among the various states. The fast response of Dronpa to light holds great promise for following fast diffusion or transport of signaling molecules in live cells.photochromism ͉ protonation͞deprotonation ͉ fluorescence microscopy P hotoinduced alteration of chemical and physical properties of photochromic molecules is of great interest because of its potential applications for optoelectronic devices, such as optical memory and optical switches (1). Photoinduced switching of fluorescent properties is one of the most attractive concepts for the realization of a nondestructive read-out system (2-4). Apart from this application, the photoswitching behavior of green fluorescent proteins (GFPs) or GFP-like proteins is being recognized as new methodology of optical marking (5, 6). Intracellular dynamics of selected molecules can be followed by activating the fluorescent proteins to their fluorescent state (7-11). Realization of photoswitching at the single-molecule level will open up exciting opportunities in the field of optoelectronics and biological imaging, where it could provide molecular-scale devices as well as detection of fast dynamics of individual proteins in living cells. Reversible photoswitching at the single-molecule level, however, has not yet been well characterized (12-17). Dickson et al. (12) reported reversible photoswitching of a mutant of GFP. Although they demonstrated a few photoswitching events at the single-molecule level, minutes of illumination was required to achieve the switching. Irie and coworkers (13, 14) also reported reversible photoswitching of diarylethene derivatives, which occurred relatively slowly with a response time of seconds. Although the switching can be repeated Ͼ10 4 times at the ensemble level (1), the number of switching events obtained at the single-m...

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Optical microscopes, often referred to as 'light microscopes', use visible light and a system of lenses to provide us with magnified images of small samples. Combined with highly sensitive fluorescence detection techniques and efficient fluorescent probes they allow the non-invasive 3D study of subcellular structures even in living cells or tissue. However, optical microscopes are subject to the diffraction barrier of light which imposes an optical resolution limit of approximately 200 nm in the imaging plane. In the recent past new techniques emerged that break the diffraction barrier and enable structural investigations with so far unmatched resolution. They are all based on the selective switching of fluorophores between a fluorescent and a nonfluorescent state and are therefore generalized under the denotation "Photoswitching Microscopy". Here we review recent progress in subdiffraction-resolution fluorescence imaging microscopy using various photoswitchable fluorophores and strategies. Special emphasis will be placed on the design and development of photoswitches and the requirements photoswitches have to fulfill for successful use in photoswitching microscopy. Moreover, we demonstrate how photoswitches can be used advantageously for molecular quantification, i.e. the determination of densities and absolute numbers of proteins located in specific subcellular compartments and discuss concepts how standard organic fluorophores can be used successfully for photoswitching microscopy.All subdiffraction-resolution fluorescence imaging methods are based on the separation of fluorescence emission in time. Thus, they critically depend on the availability of photoswitches, i.e. molecules that can be switched between a fluorescent and nonfluorescent state upon irradiation with light with high reliability. Here we describe the development and operation methods of diverse photoswitches and their application for superresolution fluorescence imaging and molecular quantification.

Superresolution fluorescence microscopy overcomes the diffraction resolution barrier and allows the molecular intricacies of life to be revealed with greatly enhanced detail. However, many current superresolution techniques still face limitations and their implementation is typically associated with a steep learning curve. Patterned illumination-based superresolution techniques [e.g., stimulated emission depletion (STED), reversible optically-linear fluorescence transitions (RESOLFT), and saturated structured illumination microscopy (SSIM)] require specialized equipment, whereas single-molecule-based approaches [e.g., stochastic optical reconstruction microscopy (STORM), photo-activation localization microscopy (PALM), and fluorescence-PALM (F-PALM)] involve repetitive single-molecule localization, which requires its own set of expertise and is also temporally demanding. Here we present a superresolution fluorescence imaging method, photochromic stochastic optical fluctuation imaging (pcSOFI). In this method, irradiating a reversibly photoswitching fluorescent protein at an appropriate wavelength produces robust single-molecule intensity fluctuations, from which a superresolution picture can be extracted by a statistical analysis of the fluctuations in each pixel as a function of time, as previously demonstrated in SOFI. This method, which uses off-the-shelf equipment, genetically encodable labels, and simple and rapid data acquisition, is capable of providing two-to threefold-enhanced spatial resolution, significant background rejection, markedly improved contrast, and favorable temporal resolution in living cells. Furthermore, both 3D and multicolor imaging are readily achievable. Because of its ease of use and high performance, we anticipate that pcSOFI will prove an attractive approach for superresolution imaging.subdiffraction-limit | two-color imaging | membrane rafts F luorescence imaging has become one of the major avenues for analyzing various molecular events underlying cellular processes. Even though many fluorophores can be used as molecular labels, direct observation at the molecular length scale is hampered by the diffraction of light. To provide a more detailed image of molecular events in cells, a number of techniques have been recently developed that bestow far-field fluorescence microscopy with fundamentally unlimited spatial resolution (1, 2). These techniques, either based on patterned illumination [such as stimulated emission depletion (STED) microscopy (3, 4), reversible optically linear fluorescence transitions (RESOLFT) microscopy (5), and saturated structured illumination microscopy (SSIM) (6)] or repeated single-molecule localization [such as photo-activation localization microscopy (PALM), stochastic optical reconstruction microscopy (STORM), fluorescence-PALM (F-PALM), ground-state depletion microscopy (GSDIM) microscopy (7-10)], are capable of improving spatial resolution by over an order of magnitude. However, these methods still face limitations. STED, RESOLFT, and SSIM microscopy ...

In this Perspective we discuss recent trends in the development and applications of fluorescent proteins. We start by providing a historical and structural perspective of their spectroscopic and structural aspects and describe how these properties have made fluorescent proteins essential as 'smart labels' for biosensing and advanced fluorescence imaging. We show that the strong link between the spectroscopic properties and protein structure and properties is a necessary element in these developments and that this dependence makes the proteins excellent model systems for a variety of fields. We pay particular attention to emerging or future research opportunities and unsolved questions.

Ever since the inception of light microscopy, the laws of physics have seemingly thwarted every attempt to visualize the processes of life at its most fundamental, sub-cellular, level. The diffraction limit has restricted our view to length scales well above 250 nm and in doing so, severely compromised our ability to gain true insights into many biological systems. Fortunately, continuous advancements in optics, electronics and mathematics have since provided the means to once again make physics work to our advantage. Even though some of the fundamental concepts enabling super-resolution light microscopy have been known for quite some time, practically feasible implementations have long remained elusive. It should therefore not come as a surprise that the 2014 Nobel Prize in Chemistry was awarded to the scientists who, each in their own way, contributed to transforming super-resolution microscopy from a technological tour de force to a staple of the biologist's toolkit. By overcoming the diffraction barrier, light microscopy could once again be established as an indispensable tool in an age where the importance of understanding life at the molecular level cannot be overstated. This review strives to provide the aspiring life science researcher with an introduction to optical microscopy, starting from the fundamental concepts governing compound and fluorescent confocal microscopy to the current state-of-the-art of super-resolution microscopy techniques and their applications.

Abstract. We present Localizer, a freely available and open source software package that implements the computational data processing inherent to several types of superresolution fluorescence imaging, such as localization (PALM/STORM/GSDIM) and fluctuation imaging (SOFI/pcSOFI). Localizer delivers high accuracy and performance and comes with a fully featured and easy-to-use graphical user interface but is also designed to be integrated in higher-level analysis environments. Due to its modular design, Localizer can be readily extended with new algorithms as they become available, while maintaining the same interface and performance. We provide front-ends for running Localizer from Igor Pro, Matlab, or as a stand-alone program. We show that Localizer performs favorably when compared with two existing superresolution packages, and to our knowledge is the only freely available implementation of SOFI/pcSOFI microscopy. By dramatically improving the analysis performance and ensuring the easy addition of current and future enhancements, Localizer strongly improves the usability of superresolution imaging in a variety of biomedical studies.

Compartmentalized biochemical activities are essential to all cellular processes, but there is no generalizable method to visualize dynamic protein activities in living cells at a resolution commensurate with their compartmentalization. Here we introduce a new class of fluorescent biosensors that detect biochemical activities in living cells at a resolution up to three-fold better than the diffraction limit. Utilizing specific, binding-induced changes in protein fluorescence dynamics, these biosensors translate kinase activities or protein-protein interactions into changes in fluorescence fluctuations, which are quantifiable through stochastic optical fluctuation imaging. A Protein Kinase A (PKA) biosensor allowed us to resolve minute PKA activity microdomains on the plasma membrane of living cells and uncover the role of clustered anchoring proteins in organizing these activity microdomains. Together, these findings suggest that biochemical activities of the cell are spatially organized into an activity architecture, whose structural and functional characteristics can be revealed by these new biosensors.