Extended resolution fluorescence microscopy.

Fluorescence microscopy is an essential tool of modern biology, but, like all forms of optical imaging, it is subject to physical limits on its resolving power. In recent years, several exciting techniques have been introduced to exceed these limits, including standing wave microscopy, 4Pi confocal microscopy, I5M and structured illumination microscopy. Several such techniques have been definitively demonstrated for the first time during the past year.     

Reversible photoswitching in fluorescent proteins: a mechanistic view

Phototransformable fluorescent proteins (FPs) have received considerable attention in recent years, because they enable many new exciting modalities in fluorescence microscopy and biotechnology. On illumination with proper actinic light, phototransformable FPs are amenable to long-lived transitions between various fluorescent or nonfluorescent states, resulting in processes known as photoactivation, photoconversion, or photoswitching. Here, we review the subclass of photoswitchable FPs with a mechanistic perspective. These proteins offer the widest range of practical applications, including reversible high-density data bio-storage, photochromic FRET, and super-resolution microscopy by either point-scanning, structured illumination, or single molecule-based wide-field approaches. Photoswitching can be engineered to occur with high contrast in both Hydrozoan and Anthozoan FPs and typically results from a combination of chromophore cis-trans isomerization and protonation change. However, other switching schemes based on, for example, chromophore hydration/dehydration have been discovered, and it seems clear that ever more performant variants will be developed in the future.     

Structure brings clarity: Structured illumination microscopy in cell biology

Biological samples are three dimensional and, therefore, optical sectioning is mandatory for microscopic images to precisely show the localization or function of structures within biological samples. Today, researchers can choose from a variety of methods to obtain optical sections. This article focuses on structured illumination microscopy, which is a group of techniques utilizing a combination of optics and mathematics to obtain optical sections: A structure is imaged onto the sample by optical means and the additional information thereby encoded in the image is used to calculate an optical section from several acquired images. Different methods of structured illumination microscopy (mainly grid projection and aperture correlation) are discussed from a practical point of view, concentrating on advantages, limitations and future prospects of these techniques and their use in cell biology. Structured illumination can also be used to obtain super-resolution information if structures of higher frequency are projected onto the sample. This promising approach to super-resolution microscopy is also briefly discussed from a user's perspective.     

Three-dimensional resolution doubling in wide-field fluorescence microscopy by structured illumination

Structured illumination microscopy is a method that can increase the spatial resolution of wide-field fluorescence microscopy beyond its classical limit by using spatially structured illumination light. Here we describe how this method can be applied in three dimensions to double the axial as well as the lateral resolution, with true optical sectioning. A grating is used to generate three mutually coherent light beams, which interfere in the specimen to form an illumination pattern that varies both laterally and axially. The spatially structured excitation intensity causes normally unreachable high-resolution information to become encoded into the observed images through spatial frequency mixing. This new information is computationally extracted and used to generate a three-dimensional reconstruction with twice as high resolution, in all three dimensions, as is possible in a conventional wide-field microscope. The method has been demonstrated on both test objects and biological specimens, and has produced the first light microscopy images of the synaptonemal complex in which the lateral elements are clearly resolved.     

Imaging plasmodesmata

At only 50 nm in diameter, plasmodesmata (PD) are below the limit of resolution of conventional light microscopy. Consequently, much of our current interpretation of the substructure of PD is derived from transmission electron microscopy. However, PD can be imaged with alternative techniques, including field emission scanning electron microscopy and ‘super-resolution’ imaging approaches such as 3D-structured illumination microscopy. This review considers the methods currently available for studying PD and focuses on the boundary between light- and electron-based imaging approaches.     

Light-emitting diodes in modern microscopy--from David to Goliath?

Proper illumination is essential for light microscopy. Whereas in early years incandescent light was the only illumination, today, more and more specialized light sources, such as lasers or arc lamps are used. Because of the high efficiency and brightness that light-emitting diodes (LED) have reached today, they have become a serious alternative for almost all kinds of illumination in light microscopy. LED have a high durability, do not need expensive electronics, and they can be switched in nanoseconds. Besides this, they are available throughout the UV/Vis/NIR-spectrum with a narrow bandwidth. This makes them ideal light sources for fluorescence microscopy. The white LED, with a color temperature ranging from 2,600 up to 5,000 K is an excellent choice for bright-field illumination with the additional advantage of simple brightness adjustments without changing the spectrum. This review discusses the different LED types, their use in the fluorescence microscope, and discusses LED as specialized illumination sources for F?rster resonance energy transfer and fluorescent lifetime imaging microscopy.     

mMaple: A Photoconvertible Fluorescent Protein for Use in Multiple Imaging Modalities

Recent advances in fluorescence microscopy have extended the spatial resolution to the nanometer scale. Here, we report an engineered photoconvertible fluorescent protein (pcFP) variant, designated as mMaple, that is suited for use in multiple conventional and super-resolution imaging modalities, specifically, widefield and confocal microscopy, structured illumination microscopy (SIM), and single-molecule localization microscopy. We demonstrate the versatility of mMaple by obtaining super-resolution images of protein organization in Escherichia coli and conventional fluorescence images of mammalian cells. Beneficial features of mMaple include high photostability of the green state when expressed in mammalian cells and high steady state intracellular protein concentration of functional protein when expressed in E. coli. mMaple thus enables both fast live-cell ensemble imaging and high precision single molecule localization for a single pcFP-containing construct.     

Superresolution microscopy for microbiology

This review provides a practical introduction to superresolution microscopy from the perspective of microbiological research. Because of the small sizes of bacterial cells, superresolution methods are particularly powerful and suitable for revealing details of cellular structures that are not resolvable under conventional fluorescence light microscopy. Here we describe the methodological concepts behind three major categories of superresolution light microscopy: photoactivated localization microscopy (PALM) and stochastic optical reconstruction microscopy (STORM), structured illumination microscopy (SIM) and stimulated emission‐depletion (STED) microscopy. We then present recent applications of each of these techniques to microbial systems, which have revealed novel conformations of cellular structures and described new properties of in vivo protein function and interactions. Finally, we discuss the unique issues related to implementing each of these superresolution techniques with bacterial specimens and suggest avenues for future development. The goal of this review is to provide the necessary technical background for interested microbiologists to choose the appropriate superresolution method for their biological systems, and to introduce the practical considerations required for designing and analysing superresolution imaging experiments.     

Fluorescent proteins: maturation, photochemistry and photophysics

It has long been appreciated that green fluorescent protein (GFP) autocatalytically forms its chromophore in a host-independent process; several of the initial steps in the reaction have recently been elucidated. Nevertheless, the end points of the process are unexpectedly diverse, as six chemically distinct chromophores, including two with three rings, have been identified. All fluorescent proteins continuously produce a low level of reactive oxygen species under illumination, which, in some cases, can lead to host cell death. In one extreme but useful example, the red fluorescent protein KillerRed can be used to selectively destroy cells upon brief illumination. Finally, when photophysical processes such as excited-state proton transfer, reversible photobleaching and photoactivation are understood, useful research tools, for example, real-time biosensors and optical highlighters, can result; however, side effects of their use may lead to significant artifacts in time-dependent microscopy experiments.     

FRET microscopy in the living cell: different approaches, strengths and weaknesses

New imaging methodologies in quantitative fluorescence microscopy, such as F?rster resonance energy transfer (FRET), have been developed in the last few years and are beginning to be extensively applied to biological problems. FRET is employed for the detection and quantification of protein interactions, and of biochemical activities. Herein, we review the different methods to measure FRET in microscopy, and more importantly, their strengths and weaknesses. In our opinion, fluorescence lifetime imaging microscopy (FLIM) is advantageous for detecting inter-molecular interactions quantitatively, the intensity ratio approach representing a valid and straightforward option for detecting intra-molecular FRET. Promising approaches in single molecule techniques and data analysis for quantitative and fast spatio-temporal protein-protein interaction studies open new avenues for FRET in biological research.     

基于三通道的超分辨率显微镜成像

显微技术经过快速发展，已经突破了光学衍射极限，目前主要包含受激发射损耗显微术（STED）、结构光照明显微镜（SIM）、光激活定位显微成像（PALM）、随机光学重构显微术（STORM）、基于最少光子数的纳米尺度定位（MINFLUX）、结合结构光照明技术的MINFLUX技术变体（SIMFLUX）等技术。STORM技术具有优越性，在其基础上叠加多色成像技术（目前有6种），本文介绍了目前最新的多色成像技术以及分光成像实现的三通道成像技术。分光成像实现的三通道成像存在光谱串色、通道对齐误差等影响，基于此介绍了相关的优化算法原理。展示了在三通道STORM显微成像平台上实现的COS-7细胞成像。说明三通道STORM显微成像的优越性。     

Super-resolution Imaging of the Cytokinetic Z Ring in Live Bacteria Using Fast 3D-Structured Illumination Microscopy (f3D-SIM)

Imaging of biological samples using fluorescence microscopy has advanced substantially with new technologies to overcome the resolution barrier of the diffraction of light allowing super-resolution of live samples. There are currently three main types of super-resolution techniques – stimulated emission depletion (STED), single-molecule localization microscopy (including techniques such as PALM, STORM, and GDSIM), and structured illumination microscopy (SIM). While STED and single-molecule localization techniques show the largest increases in resolution, they have been slower to offer increased speeds of image acquisition. Three-dimensional SIM (3D-SIM) is a wide-field fluorescence microscopy technique that offers a number of advantages over both single-molecule localization and STED. Resolution is improved, with typical lateral and axial resolutions of 110 and 280 nm, respectively and depth of sampling of up to 30 µm from the coverslip, allowing for imaging of whole cells. Recent advancements (fast 3D-SIM) in the technology increasing the capture rate of raw images allows for fast capture of biological processes occurring in seconds, while significantly reducing photo-toxicity and photobleaching. Here we describe the use of one such method to image bacterial cells harboring the fluorescently-labelled cytokinetic FtsZ protein to show how cells are analyzed and the type of unique information that this technique can provide.     

Towards many colors in FISH on 3D-preserved interphase nuclei

The article reviews the existing methods of multicolor FISH on nuclear targets, first of all, interphase chromosomes. FISH proper and image acquisition are considered as two related components of a single process. We discuss (1) M-FISH (combinatorial labeling + deconvolution + wide-field microscopy); (2) multicolor labeling + SIM (structured illumination microscopy); (3) the standard approach to multicolor FISH + CLSM (confocal laser scanning microscopy; one fluorochrome - one color channel); (4) combinatorial labeling + CLSM; (5) non-combinatorial labeling + CLSM + linear unmixing. Two related issues, deconvolution of images acquired with CLSM and correction of data for chromatic Z-shift, are also discussed. All methods are illustrated with practical examples. Finally, several rules of thumb helping to choose an optimal labeling + microscopy combination for the planned experiment are suggested.     

Emerging frontiers in virtual drug discovery: From quantum mechanical methods to deep learning approaches

Virtual screening-based approaches to discover initial hit and lead compounds have the potential to reduce both the cost and time of early drug discovery stages, as well as to find inhibitors for even challenging target sites such as protein–protein interfaces. Here in this review, we provide an overview of the progress that has been made in virtual screening methodology and technology on multiple fronts in recent years. The advent of ultra-large virtual screens, in which hundreds of millions to billions of compounds are screened, has proven to be a powerful approach to discover highly potent hit compounds. However, these developments are just the tip of the iceberg, with new technologies and methods emerging to propel the field forward. Examples include novel machine-learning approaches, which can reduce the computational costs of virtual screening dramatically, while progress in quantum-mechanical approaches can increase the accuracy of predictions of various small molecule properties.     

Optical sectioning microscopy with planar or structured illumination

A key requirement for performing three-dimensional (3D) imaging using optical microscopes is that they be capable of optical sectioning by distinguishing in-focus signal from out-of-focus background. Common techniques for fluorescence optical sectioning are confocal laser scanning microscopy and two-photon microscopy. But there is increasing interest in alternative optical sectioning techniques, particularly for applications involving high speeds, large fields of view or long-term imaging. In this Review, I examine two such techniques, based on planar illumination or structured illumination. The goal is to describe the advantages and disadvantages of these techniques.     

Gene disruption to evaluate the role of fungal candidate virulence genes

Gene disruption is a powerful genetic tool that can define pathogenic or virulence factors. In the past two years gene disruption approaches have been used to identify fungal virulence genes. The capsule genes, an alpha subunit of G protein and certain kinases of Cryptococcus neoformans have clearly been demonstrated to be associated with pathogenicity. In Candida albicans at least four genes involved in hyphal formation have been disrupted and tested for virulence. In other fungi, such as Histoplasma capsulatum, however, more efficient gene disruption methods need to be developed before such approaches can be regularly used for identifying virulence genes.     

From micro to nano: recent advances in high-resolution microscopy

Improving the spatial resolution of optical microscopes is important for a vast number of applications in the life sciences. Optical microscopy allows intact samples and living cells to be studied in their natural environment, tasks that are not possible with other microscopy methods (e.g. electron microscopy). Major advances in the past two decades have significantly improved microscope resolution. By using interference and structured light methods microscope resolution has been improved to approximately 100 nm, and with non-linear methods a ten times improvement has been demonstrated to a current resolution limit of approximately 30 nm. These methods bring together old theoretical concepts such as interference with novel non-linear methods that improve spatial resolution beyond the limits that were previously assumed to be unreachable.     

Identification of structured peptide segments in folding proteins.

Prediction of the structures of long polypeptides and small proteins has been carried out using conformational energy calculations. These calculations can be applied to large proteins if structured regions of their sequences can be identified. Three different approaches to identifying such sequences are presented. First, sequences of five or more contiguous hydrophobic residues tend to nucleate alpha-helices. Second, peptide sequences from parent proteins that have the same biological activities as the parent proteins are highly structured. Third, structured synthetic peptide segments from proteins inhibit the folding of the parent proteins by competing with the corresponding segment of the protein chain for associating with complementary regions. Examples of each of these approaches are presented.     

MetaDisorder: a meta-server for the prediction of intrinsic disorder in proteins

ABSTRACT: BACKGROUND: Intrinsically unstructured proteins (IUPs) lack a well-defined three-dimensional structure. Some of them may assume a locally stable structure under specific conditions, e.g. upon interaction with another molecule, while others function in a permanently unstructured state. The discovery of IUPs challenged the traditional protein structure paradigm, which stated that a specific well-defined structure defines the function of the protein. As of December 2011, approximately 60 methods for computational prediction of protein disorder from sequence have been made publicly available. They are based on different approaches, such as utilizing evolutionary information, energy functions, and various statistical and machine learning methods. RESULTS: Given the diversity of existing intrinsic disorder prediction methods, we decided to test whether it is possible to combine them into a more accurate meta-prediction method. We developed a method based on arbitrarily chosen 13 disorder predictors, in which the final consensus was weighted by the accuracy of the methods. We have also developed a disorder predictor GSmetaDisorder3D that used no third-party disorder predictors, but alignments to known protein structures, reported by the protein fold-recognition methods, to infer the potentially structured and unstructured regions. Following the success of our disorder predictors in the CASP8 benchmark, we combined them into a meta-meta predictor called GSmetaDisorderMD, which was the top scoring method in the subsequent CASP9 benchmark. CONCLUSIONS: A series of disorder predictors described in this article is available as a MetaDisorder web server at http://iimcb.genesilico.pl/metadisorder/. Results are presented both in an easily interpretable, interactive mode and in a simple text format suitable for machine processing.