几种超分辨率荧光显微技术的原理和近期进展

在生命科学领域,人们常常需要在细胞内精确定位特定的蛋白质以研究其位置与功能的关系．多年来,宽场/共聚焦荧光显微镜的分辨率受限于光的阿贝/瑞利极限,不能分辨出200 nm以下的结构．近年来,随着新的荧光探针和成像理论的出现,研究者开发了多种实现超出普通共聚焦显微镜分辨率的三维超分辨率成像方法．主要介绍这些方法的原理、近期进展和发展趋势．介绍了光源的点扩散函数(point spread function, PSF)的概念和传统分辨率的定义,阐述了提高xy平面分辨率的方法．通过介绍单分子荧光成像技术,引入了单分子成像定位精度的概念,介绍了基于单分子成像的超分辨率显微成像方法,包括光激活定位显微技术(photoactivated localization microscopy, PALM)和随机光学重构显微技术(stochastic optical reconstruction microscopy, STORM)．介绍了两大类通过改造光源的点扩散函数来提高成像分辨率的方法,分别是受激发射损耗显微技术(stimulated emission depletion, STED)和饱和结构照明显微技术(saturated structure illumination microscopy, SSIM)．比较了不同的z轴提取信息的方法,并阐述了这些方法与xy平面上的超分辨率显微成像技术相结合所得到的各种三维超分辨率显微成像技术的优劣．探讨了目前超分辨率显微成像的发展极限和方向．     

Nanoscale Imaging of Caveolin-1 Membrane Domains In Vivo

Light microscopy enables noninvasive imaging of fluorescent species in biological specimens, but resolution is generally limited by diffraction to ~200–250 nm. Many biological processes occur on smaller length scales, highlighting the importance of techniques that can image below the diffraction limit and provide valuable single-molecule information. In recent years, imaging techniques have been developed which can achieve resolution below the diffraction limit. Utilizing one such technique, fluorescence photoactivation localization microscopy (FPALM), we demonstrated its ability to construct super-resolution images from single molecules in a living zebrafish embryo, expanding the realm of previous super-resolution imaging to a living vertebrate organism. We imaged caveolin-1 in vivo, in living zebrafish embryos. Our results demonstrate the successful image acquisition of super-resolution images in a living vertebrate organism, opening several opportunities to answer more dynamic biological questions in vivo at the previously inaccessible nanoscale.     

膨胀显微成像技术的原理及应用

膨胀显微成像技术（expansion microscopy,ExM）是一种新型超分辨成像技术。该技术借助可膨胀水凝胶均匀地物理放大生物样本,在常规光学成像条件下实现超分辨成像。ExM适用于细胞、组织切片等多种类型生物样本。蛋白质、核酸、脂质等生物大分子均可借助ExM进行超分辨成像。ExM可与共聚焦显微镜、光片显微镜、超高分辨显微镜联合使用,进一步提高成像分辨率。近年来,多种从基础ExM拓展而来的衍生技术进一步促进了该技术的实际应用。本文综述了ExM及其衍生技术的基本原理、ExM与不同成像技术联用的研究进展及ExM在不同类型生物样本中的应用进展,并对ExM技术的发展前景做出展望。     

Twinkle,twinkle little star: Photoswitchable fluorophores for super-resolution imaging

Photoswitchable fluorescent probes are key elements of newly developed super-resolution fluorescence microscopy techniques that enable far-field interrogation of biological systems with a resolution of 50 nm or better. In contrast to most conventional fluorescence imaging techniques, the performance achievable by most super-resolution techniques is critically impacted by the photoswitching properties of the fluorophores. Here we review photoswitchable fluorophores for super-resolution imaging with discussion of the fundamental principles involved, a focus on practical implementation with available tools, and an outlook on future directions.     

Fast, three-dimensional super-resolution imaging of live cells

We report super-resolution fluorescence imaging of live cells with high spatiotemporal resolution using stochastic optical reconstruction microscopy (STORM). By labeling proteins either directly or via SNAP tags with photoswitchable dyes, we obtained two-dimensional (2D) and 3D super-resolution images of living cells, using clathrin-coated pits and the transferrin cargo as model systems. Bright, fast-switching probes enabled us to achieve 2D imaging at spatial resolutions of ～25 nm and temporal resolutions as fast as 0.5 s. We also demonstrated live-cell 3D super-resolution imaging. We obtained 3D spatial resolution of ～30 nm in the lateral direction and ～50 nm in the axial direction at time resolutions as fast as 1-2 s with several independent snapshots. Using photoswitchable dyes with distinct emission wavelengths, we also demonstrated two-color 3D super-resolution imaging in live cells. These imaging capabilities open a new window for characterizing cellular structures in living cells at the ultrastructural level.     

Optical imaging of nanoscale cellular structures

Visualization of subcellular structures and their temporal evolution is of utmost importance to understand a vast range of biological processes. Optical microscopy is the method of choice for imaging live cells and tissues; it is minimally invasive, so processes can be observed over extended periods of time without generating artifacts due to intense light irradiation. The use of fluorescence microscopy is advantageous because biomolecules or supramolecular structures of interest can be labeled specifically with fluorophores, so the images reveal information on processes involving only the labeled molecules. The key restriction of optical microscopy is its moderate resolution, which is limited to about half the wavelength of light (～200 nm) due to fundamental physical laws governing wave optics. Consequently, molecular processes taking place at spatial scales between 1 and 100 nm cannot be studied by regular optical microscopy. In recent years, however, a variety of super-resolution fluorescence microscopy techniques have been developed that circumvent the resolution limitation. Here, we present a brief overview of these techniques and their application to cellular biophysics.     

Super-Resolution Imaging Strategies for Cell Biologists Using a Spinning Disk Microscope

In this study we use a spinning disk confocal microscope (SD) to generate super-resolution images of multiple cellular features from any plane in the cell. We obtain super-resolution images by using stochastic intensity fluctuations of biological probes, combining Photoactivation Light-Microscopy (PALM)/Stochastic Optical Reconstruction Microscopy (STORM) methodologies. We compared different image analysis algorithms for processing super-resolution data to identify the most suitable for analysis of particular cell structures. SOFI was chosen for X and Y and was able to achieve a resolution of ca. 80 nm; however higher resolution was possible >30 nm, dependant on the super-resolution image analysis algorithm used. Our method uses low laser power and fluorescent probes which are available either commercially or through the scientific community, and therefore it is gentle enough for biological imaging. Through comparative studies with structured illumination microscopy (SIM) and widefield epifluorescence imaging we identified that our methodology was advantageous for imaging cellular structures which are not immediately at the cell-substrate interface, which include the nuclear architecture and mitochondria. We have shown that it was possible to obtain two coloured images, which highlights the potential this technique has for high-content screening, imaging of multiple epitopes and live cell imaging.     

Virus morphology: Insights from super-resolution fluorescence microscopy

As epitomised by the COVID-19 pandemic, diseases caused by viruses are one of the greatest health and economic burdens to human society. Viruses are ‘nanostructures’, and their small size (typically less than 200 nm in diameter) can make it challenging to obtain images of their morphology and structure. Recent advances in fluorescence microscopy have given rise to super-resolution techniques, which have enabled the structure of viruses to be visualised directly at a resolution in the order of 20 nm. This mini-review discusses how recent state-of-the-art super-resolution imaging technologies are providing new nanoscale insights into virus structure.     

Applications of STED fluorescence nanoscopy in unravelling nanoscale structure and dynamics of biological systems

Fluorescence microscopy, especially confocal microscopy, has revolutionized the field of biological imaging. Breaking the optical diffraction barrier of conventional light microscopy, through the advent of super-resolution microscopy, has ushered in the potential for a second revolution through unprecedented insight into nanoscale structure and dynamics in biological systems. Stimulated emission depletion (STED) microscopy is one such super-resolution microscopy technique which provides real-time enhanced-resolution imaging capabilities. In addition, it can be easily integrated with well-established fluorescence-based techniques such as fluorescence correlation spectroscopy (FCS) in order to capture the structure of cellular membranes at the nanoscale with high temporal resolution. In this review, we discuss the theory of STED and different modalities of operation in order to achieve the best resolution. Various applications of this technique in cell imaging, especially that of neuronal cell imaging, are discussed as well as examples of application of STED imaging in unravelling structure formation on biological membranes. Finally, we have discussed examples from some of our recent studies on nanoscale structure and dynamics of lipids in model membranes, due to interaction with proteins, as revealed by combination of STED and FCS techniques.     

Super-resolution microscopy by nanoscale localization of photo-switchable fluorescent probes

A new form of super-resolution fluorescence microscopy has emerged in recent years, based on the high accuracy localization of individual photo-switchable fluorescent labels. Image resolution as high as 20 nm in the lateral dimensions and 50 nm in the axial direction has been attained with this concept, representing an order of magnitude improvement over the diffraction limit. The demonstration of multicolor imaging with molecular specificity, three-dimensional (3D) imaging of cellular structures, and time-resolved imaging of living cells further illustrates the exciting potential of this method for biological imaging at the nanoscopic scale.     

Condensed Mitotic Chromosome Structure at Nanometer Resolution Using PALM and EGFP- Histones

Photoactivated localization microscopy (PALM) and related fluorescent biological imaging methods are capable of providing very high spatial resolutions (up to 20 nm). Two major demands limit its widespread use on biological samples: requirements for photoactivatable/photoconvertible fluorescent molecules, which are sometimes difficult to incorporate, and high background signals from autofluorescence or fluorophores in adjacent focal planes in three-dimensional imaging which reduces PALM resolution significantly. We present here a high-resolution PALM method utilizing conventional EGFP as the photoconvertible fluorophore, improved algorithms to deal with high levels of biological background noise, and apply this to imaging higher order chromatin structure. We found that the emission wavelength of EGFP is efficiently converted from green to red when exposed to blue light in the presence of reduced riboflavin. The photon yield of red-converted EGFP using riboflavin is comparable to other bright photoconvertible fluorescent proteins that allow <20 nm resolution. We further found that image pre-processing using a combination of denoising and deconvolution of the raw PALM images substantially improved the spatial resolution of the reconstruction from noisy images. Performing PALM on Drosophila mitotic chromosomes labeled with H2AvD-EGFP, a histone H2A variant, revealed filamentous components of ∼70 nm. This is the first observation of fine chromatin filaments specific for one histone variant at a resolution approximating that of conventional electron microscope images (10–30 nm). As demonstrated by modeling and experiments on a challenging specimen, the techniques described here facilitate super-resolution fluorescent imaging with common biological samples.     

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.     

3D multicolor super-resolution imaging offers improved accuracy in neuron tracing

The connectivity among neurons holds the key to understanding brain function. Mapping neural connectivity in brain circuits requires imaging techniques with high spatial resolution to facilitate neuron tracing and high molecular specificity to mark different cellular and molecular populations. Here, we tested a three-dimensional (3D), multicolor super-resolution imaging method, stochastic optical reconstruction microscopy (STORM), for tracing neural connectivity using cultured hippocampal neurons obtained from wild-type neonatal rat embryos as a model system. Using a membrane specific labeling approach that improves labeling density compared to cytoplasmic labeling, we imaged neural processes at 44 nm 2D and 116 nm 3D resolution as determined by considering both the localization precision of the fluorescent probes and the Nyquist criterion based on label density. Comparison with confocal images showed that, with the currently achieved resolution, we could distinguish and trace substantially more neuronal processes in the super-resolution images. The accuracy of tracing was further improved by using multicolor super-resolution imaging. The resolution obtained here was largely limited by the label density and not by the localization precision of the fluorescent probes. Therefore, higher image resolution, and thus higher tracing accuracy, can in principle be achieved by further improving the label density.     

The changing point-spread function: single-molecule-based super-resolution imaging

Over the past decade, many techniques for imaging systems at a resolution greater than the diffraction limit have been developed. These methods have allowed systems previously inaccessible to fluorescence microscopy to be studied and biological problems to be solved in the condensed phase. This brief review explains the basic principles of super-resolution imaging in both two and three dimensions, summarizes recent developments, and gives examples of how these techniques have been used to study complex biological systems.     

4D super-resolution microscopy with conventional fluorophores and single wavelength excitation in optically thick cells and tissues

Background

Optical super-resolution imaging of fluorescently stained biological samples is rapidly becoming an important tool to investigate protein distribution at the molecular scale. It is therefore important to develop practical super-resolution methods that allow capturing the full three-dimensional nature of biological systems and also can visualize multiple protein species in the same sample.

Methodology/Principal Findings

We show that the use of a combination of conventional near-infrared dyes, such as Alexa 647, Alexa 680 and Alexa 750, all excited with a 671 nm diode laser, enables 3D multi-colour super-resolution imaging of complex biological samples. Optically thick samples, including human tissue sections, cardiac rat myocytes and densely grown neuronal cultures were imaged with lateral resolutions of ∼15 nm (std. dev.) while reducing marker cross-talk to <1%. Using astigmatism an axial resolution of ∼65 nm (std. dev.) was routinely achieved. The number of marker species that can be distinguished depends on the mean photon number of single molecule events. With the typical photon yields from Alexa 680 of ∼2000 up to 5 markers may in principle be resolved with <2% crosstalk.

Conclusions/Significance

Our approach is based entirely on the use of conventional, commercially available markers and requires only a single laser. It provides a very straightforward way to investigate biological samples at the nanometre scale and should help establish practical 4D super-resolution microscopy as a routine research tool in many laboratories.     

Super-resolution Imaging of Neuronal Dense-core Vesicles

Detection of fluorescence provides the foundation for many widely utilized and rapidly advancing microscopy techniques employed in modern biological and medical applications. Strengths of fluorescence include its sensitivity, specificity, and compatibility with live imaging. Unfortunately, conventional forms of fluorescence microscopy suffer from one major weakness, diffraction-limited resolution in the imaging plane, which hampers studies of structures with dimensions smaller than ~250 nm. Recently, this limitation has been overcome with the introduction of super-resolution fluorescence microscopy techniques, such as photoactivated localization microscopy (PALM). Unlike its conventional counterparts, PALM can produce images with a lateral resolution of tens of nanometers. It is thus now possible to use fluorescence, with its myriad strengths, to elucidate a spectrum of previously inaccessible attributes of cellular structure and organization.Unfortunately, PALM is not trivial to implement, and successful strategies often must be tailored to the type of system under study. In this article, we show how to implement single-color PALM studies of vesicular structures in fixed, cultured neurons. PALM is ideally suited to the study of vesicles, which have dimensions that typically range from ~50-250 nm. Key steps in our approach include labeling neurons with photoconvertible (green to red) chimeras of vesicle cargo, collecting sparsely sampled raw images with a super-resolution microscopy system, and processing the raw images to produce a high-resolution PALM image. We also demonstrate the efficacy of our approach by presenting exceptionally well-resolved images of dense-core vesicles (DCVs) in cultured hippocampal neurons, which refute the hypothesis that extrasynaptic trafficking of DCVs is mediated largely by DCV clusters.     

基于受激发射损耗显微术的活细胞和活体超分辨成像

细胞作为生命体基本的结构和功能单元，在生物、医学等领域有着非常重要的研究意义。随着现代科学和技术的发展，科学家们借助电镜对细胞以及细胞器的空间结构已经有非常清晰的认识，但是对它们的功能以及细胞之间的相互作用却了解得非常少，而这恰恰又是疾病治疗和药物开发亟需了解的信息，因此对离体活细胞（简称活细胞）和活体生物组织细胞（简称活体细胞）中亚细胞器的研究变得非常重要。然而细胞中许多细胞器的结构在纳米量级，传统的光学成像技术由于受到光学衍射极限的限制是无法观察到纳米量级的生物结构，因此光学超分辨成像技术是目前研究亚细胞器结构和功能的有效工具。在所有光学超分辨显微技术中，受激发射损耗显微术（stimulated emission depletionmicroscopy,STED）由于具有实时成像、三维超分辨和断层成像的能力，非常适合用于纳米尺度的活细胞和活体细胞成像研究，而且STED超分辨成像技术经过近几十年的发展，已经广泛用于活细胞甚至活体小鼠细胞的超分辨动态观测。本文总结了近年来活细胞和活体小鼠神经元细胞等领域STED超分辨成像的研究进展，介绍了用于活细胞和活体细胞STED超分辨成像的荧光染料...     

Conical diffraction illumination opens the way for low phototoxicity super-resolution imaging

We present a new technology for super-resolution fluorescence imaging, based on conical diffraction. Conical diffraction is a linear, singular phenomenon, taking place when a laser beam is diffracted through a biaxial crystal. We use conical diffraction in a thin biaxial crystal to generate illumination patterns that are more compact than the classical Gaussian beam, and use them to generate a super-resolution imaging modality.

While there already exist several super-resolution modalities, our technology (biaxial super-resolution: BSR) is distinguished by the unique combination of several performance features. Using BSR super-resolution data are achieved using low light illumination significantly less than required for classical confocal imaging, which makes BSR ideal for live-cell, long-term time-lapse super-resolution imaging. Furthermore, no specific sample preparation is required, and any fluorophore can be used. Perhaps most exciting, improved resolution BSR-imaging resolution enhancement can be achieved with any type of objective no matter the magnification, numerical aperture, working distance, or the absence or presence of immersion medium.

In this article, we present the first implementation of BSR modality on a commercial confocal microscope. We acquire and analyze validation data, showing high quality super-resolved images of biological objects, and demonstrate the wide applicability of the technology. We report live-cell super-resolution imaging over a long period, and show that the light dose required for super-resolution imaging is far below the threshold likely to generate phototoxicity.     

超分辨显微成像技术在活细胞成像中的应用与发展

超分辨显微成像技术（super-resolution microscopy，SRM）可以绕过光学衍射极限对成像分辨率的限制，让以前观察不到的纳米级结构实现可视化，这一重大研究进展推动了现代生命科学和生物医学研究的进步与发展. 细胞是生物体的基本组成单位，对活细胞内部的细微结构和动力学过程进行研究是掌握生命本质必不可少的途径. 但由于成像原理或条件的限制，早期的SRM技术在活细胞成像应用方面受到了不同程度的限制. 近几年来，随着SRM和相关技术的发展，SRM在活细胞成像研究中的应用也越来越多. 本文简要介绍目前常见的几种SRM技术的基本原理和特点，并在此基础上着重阐述它们在活细胞成像应用中所取得的最新研究进展和发展方向.     

Seeing beyond the limit: A guide to choosing the right super-resolution microscopy technique

Super-resolution microscopy has become an increasingly popular and robust tool across the life sciences to study minute cellular structures and processes. However, with the increasing number of available super-resolution techniques has come an increased complexity and burden of choice in planning imaging experiments. Choosing the right super-resolution technique to answer a given biological question is vital for understanding and interpreting biological relevance. This is an often-neglected and complex task that should take into account well-defined criteria (e.g., sample type, structure size, imaging requirements). Trade-offs in different imaging capabilities are inevitable; thus, many researchers still find it challenging to select the most suitable technique that will best answer their biological question. This review aims to provide an overview and clarify the concepts underlying the most commonly available super-resolution techniques as well as guide researchers through all aspects that should be considered before opting for a given technique.