Showing papers on "Photoactivated localization microscopy published in 2012"

Advanced Fluorescence Microscopy Techniques—FRAP, FLIP, FLAP, FRET and FLIM

Abstract: Fluorescence microscopy provides an efficient and unique approach to study fixed and living cells because of its versatility, specificity, and high sensitivity. Fluorescence microscopes can both detect the fluorescence emitted from labeled molecules in biological samples as images or photometric data from which intensities and emission spectra can be deduced. By exploiting the characteristics of fluorescence, various techniques have been developed that enable the visualization and analysis of complex dynamic events in cells, organelles, and sub-organelle components within the biological specimen. The techniques described here are fluorescence recovery after photobleaching (FRAP), the related fluorescence loss in photobleaching (FLIP), fluorescence localization after photobleaching (FLAP), Forster or fluorescence resonance energy transfer (FRET) and the different ways how to measure FRET, such as acceptor bleaching, sensitized emission, polarization anisotropy, and fluorescence lifetime imaging microscopy (FLIM). First, a brief introduction into the mechanisms underlying fluorescence as a physical phenomenon and fluorescence, confocal, and multiphoton microscopy is given. Subsequently, these advanced microscopy techniques are introduced in more detail, with a description of how these techniques are performed, what needs to be considered, and what practical advantages they can bring to cell biological research.

Counting single photoactivatable fluorescent molecules by photoactivated localization microscopy (PALM).

Abstract: We present a single molecule method for counting proteins within a diffraction-limited area when using photoactivated localization microscopy. The intrinsic blinking of photoactivatable fluorescent proteins mEos2 and Dendra2 leads to an overcounting error, which constitutes a major obstacle for their use as molecular counting tags. Here, we introduce a kinetic model to describe blinking and show that Dendra2 photobleaches three times faster and blinks seven times less than mEos2, making Dendra2 a better photoactivated localization microscopy tag than mEos2 for molecular counting. The simultaneous activation of multiple molecules is another source of error, but it leads to molecular undercounting instead. We propose a photoactivation scheme that maximally separates the activation of different molecules, thus helping to overcome undercounting. We also present a method that quantifies the total counting error and minimizes it by balancing over- and undercounting. This unique method establishes that Dendra2 is better for counting purposes than mEos2, allowing us to count in vitro up to 200 molecules in a diffraction-limited spot with a bias smaller than 2% and an uncertainty less than 6% within 10 min. Finally, we demonstrate that this counting method can be applied to protein quantification in vivo by counting the bacterial flagellar motor protein FliM fused to Dendra2.

Multicolor super-resolution fluorescence imaging via multi-parameter fluorophore detection.

Abstract: Understanding the complexity of the cellular environment will benefit from the ability to unambiguously resolve multiple cellular components, simultaneously and with nanometer-scale spatial resolution. Multicolor super-resolution fluorescence microscopy techniques have been developed to achieve this goal, yet challenges remain in terms of the number of targets that can be simultaneously imaged and the crosstalk between color channels. Herein, we demonstrate multicolor stochastic optical reconstruction microscopy (STORM) based on a multi-parameter detection strategy, which uses both the fluorescence activation wavelength and the emission color to discriminate between photo-activatable fluorescent probes. First, we obtained two-color super-resolution images using the near-infrared cyanine dye Alexa 750 in conjunction with a red cyanine dye Alexa 647, and quantified color crosstalk levels and image registration accuracy. Combinatorial pairing of these two switchable dyes with fluorophores which enhance photo-activation enabled multi-parameter detection of six different probes. Using this approach, we obtained six-color super-resolution fluorescence images of a model sample. The combination of multiple fluorescence detection parameters for improved fluorophore discrimination promises to substantially enhance our ability to visualize multiple cellular targets with sub-diffraction-limit resolution.

Superresolution imaging of HIV in infected cells with FlAsH-PALM

Abstract: Imaging protein assemblies at molecular resolution without affecting biological function is a long-standing goal. The diffraction-limited resolution of conventional light microscopy (∼200–300 nm) has been overcome by recent superresolution (SR) methods including techniques based on accurate localization of molecules exhibiting stochastic fluorescence; however, SR methods still suffer important restrictions inherent to the protein labeling strategies. Antibody labels are encumbered by variable specificity, limited commercial availability and affinity, and are mostly restricted to fixed cells. Fluorescent protein fusions, though compatible with live cell imaging, substantially increase protein size and can interfere with their biological activity. We demonstrate SR imaging of proteins tagged with small tetracysteine motifs and the fluorescein arsenical helix binder (FlAsH-PALM). We applied FlAsH-PALM to image the integrase enzyme (IN) of HIV in fixed and living cells under experimental conditions that fully preserved HIV infectivity. The obtained resolution (∼30 nm) allowed us to characterize the distribution of IN within virions and intracellular complexes and to distinguish different HIV structural populations based on their morphology. We could thus discriminate ∼100 nm long mature conical cores from immature Gag shells and observe that in infected cells cytoplasmic (but not nuclear) IN complexes display a morphology similar to the conical capsid. Together with the presence of capsid proteins, our data suggest that cytoplasmic IN is largely present in intact capsids and that these can be found deep within the cytoplasm. FlAsH-PALM opens the door to in vivo SR studies of microbial complexes within host cells and may help achieve truly molecular resolution.

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

Abstract: 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

Abstract: 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.

Microscopy beyond the diffraction limit using actively controlled single molecules

Abstract: In this short review, the general principles are described for obtaining microscopic images with resolution beyond the optical diffraction limit with single molecules. Although it has been known for several decades that single-molecule emitters can blink or turn on and off, in recent work the addition of on/off control of molecular emission to maintain concentrations at very low levels in each imaging frame combined with sequential imaging of sparse subsets has enabled the reconstruction of images with resolution far below the optical diffraction limit. Single-molecule active control microscopy provides a powerful window into information about nanoscale structures that was previously unavailable.

Extending Microscopic Resolution with Single-Molecule Imaging and Active Control

Abstract: Superresolution imaging of biological structures provides information beyond the optical diffraction limit. One class of superresolution techniques uses the power of single fluorescent molecules as nanoscale emitters of light combined with emission control, variously described by the acronyms PALM/FPALM/STORM and many others. Even though the acronyms differ and refer mainly to different active-control mechanisms, the underlying fundamental principles behind these “pointillist” superresolution imaging techniques are the same. Circumventing the diffraction limit requires two key steps. The first step (superlocalization) is the detection and localization of spatially separated single molecules. The second step actively controls the emitting molecules to ensure a very low concentration of single emitters such that they do not overlap in any one imaging frame. The final image is reconstructed from time-sequential imaging and superlocalization of the single emitting labels decorating the structure of interest. ...

The influence of movement on the localization precision of sub-resolution particles in fluorescence microscopy.

Abstract: Obtaining sub-resolution particle positions in fluorescence microscopy images is essential for single particle tracking and high-resolution localization microscopy. While the localization precision of stationary single molecules or particles is well understood, the influence of particle motion during image acquisition has been largely neglected. Here, we address this issue and provide a theoretical description on how particle motion influences the centroid localization precision, both in case of 2-D and 3-D diffusion. In addition, a novel method is proposed, based on dual-channel imaging, for the experimental determination of the localization precision of moving particles. For typical single particle tracking experiments, we show that the localization precision is approximately two-fold worse than expected from the stationary theory. Strikingly, we find that the most popular localization method, based on the fitting of a Gaussian distribution, breaks down for lateral diffusion. Instead, the centroid localization method is found to perform well under all conditions.

A Caged, Localizable Rhodamine Derivative for Superresolution Microscopy

Abstract: A caged rhodamine 110 derivative for the specific labeling of SNAP-tag fusion proteins is introduced. The caged rhodamine 110 derivative permits the labeling of cell surface proteins in living cells and of intracellular proteins in fixed cells. The probe requires only a single caging group to maintain the fluorophore in a non-fluorescent state and becomes highly fluorescent after uncaging. The high contrast ratio is confirmed both in bulk and at the single molecule level. This property, together with its high photon yield makes it an excellent dye for photoactivated localization microscopy (PALM), as we demonstrate here.

Quantitative analysis of photoactivated localization microscopy (PALM) datasets using pair-correlation analysis

Abstract: Pointillistic based super-resolution techniques, such as photoactivated localization microscopy (PALM), involve multiple cycles of sequential activation, imaging, and precise localization of single fluorescent molecules. A super-resolution image, having nanoscopic structural information, is then constructed by compiling all the image sequences. Because the final image resolution is determined by the localization precision of detected single molecules and their density, accurate image reconstruction requires imaging of biological structures labeled with fluorescent molecules at high density. In such image datasets, stochastic variations in photon emission and intervening dark states lead to uncertainties in identification of single molecules. This, in turn, prevents the proper utilization of the wealth of information on molecular distribution and quantity. A recent strategy for overcoming this problem is pair-correlation analysis applied to PALM. Using rigorous statistical algorithms to estimate the number of detected proteins, this approach allows the spatial organization of molecules to be quantitatively described.

Line scan - structured illumination microscopy super-resolution imaging in thick fluorescent samples

Abstract: Structured illumination microscopy in thick fluorescent samples is a challenging task. The out-of-focus fluorescence background deteriorates the illumination pattern and the reconstructed images suffer from influence of noise. We present a combination of structured illumination microscopy with line scanning. This technique reduces the out-of-focus fluorescence background, which improves the modulation and the quality of the illumination pattern and therefore facilitates the reconstruction. We present super-resolution, optically sectioned images of a thick fluorescent sample, revealing details of the specimen’s inner structure.

Plasticity of the asialoglycoprotein receptor deciphered by ensemble FRET imaging and single-molecule counting PALM imaging

Abstract: The stoichiometry and composition of membrane protein receptors are critical to their function. However, the inability to assess receptor subunit stoichiometry in situ has hampered efforts to relate receptor structures to functional states. Here, we address this problem for the asialoglycoprotein receptor using ensemble FRET imaging, analytical modeling, and single-molecule counting with photoactivated localization microscopy (PALM). We show that the two subunits of asialoglycoprotein receptor [rat hepatic lectin 1 (RHL1) and RHL2] can assemble into both homo- and hetero-oligomeric complexes, displaying three forms with distinct ligand specificities that coexist on the plasma membrane: higher-order homo-oligomers of RHL1, higher-order hetero-oligomers of RHL1 and RHL2 with two-to-one stoichiometry, and the homo-dimer RHL2 with little tendency to further homo-oligomerize. Levels of these complexes can be modulated in the plasma membrane by exogenous ligands. Thus, even a simple two-subunit receptor can exhibit remarkable plasticity in structure, and consequently function, underscoring the importance of deciphering oligomerization in single cells at the single-molecule level.

Accurate construction of photoactivated localization microscopy (PALM) images for quantitative measurements.

Abstract: Localization-based superresolution microscopy techniques such as Photoactivated Localization Microscopy (PALM) and Stochastic Optical Reconstruction Microscopy (STORM) have allowed investigations of cellular structures with unprecedented optical resolutions. One major obstacle to interpreting superresolution images, however, is the overcounting of molecule numbers caused by fluorophore photoblinking. Using both experimental and simulated images, we determined the effects of photoblinking on the accurate reconstruction of superresolution images and on quantitative measurements of structural dimension and molecule density made from those images. We found that structural dimension and relative density measurements can be made reliably from images that contain photoblinking-related overcounting, but accurate absolute density measurements, and consequently faithful representations of molecule counts and positions in cellular structures, require the application of a clustering algorithm to group localizations that originate from the same molecule. We analyzed how applying a simple algorithm with different clustering thresholds (tThresh and dThresh) affects the accuracy of reconstructed images, and developed an easy method to select optimal thresholds. We also identified an empirical criterion to evaluate whether an imaging condition is appropriate for accurate superresolution image reconstruction with the clustering algorithm. Both the threshold selection method and imaging condition criterion are easy to implement within existing PALM clustering algorithms and experimental conditions. The main advantage of our method is that it generates a superresolution image and molecule position list that faithfully represents molecule counts and positions within a cellular structure, rather than only summarizing structural properties into ensemble parameters. This feature makes it particularly useful for cellular structures of heterogeneous densities and irregular geometries, and allows a variety of quantitative measurements tailored to specific needs of different biological systems.

Identification of the factors affecting co-localization precision for quantitative multicolor localization microscopy

Abstract: This work explores the potential of multi-color Photoactivated Localization Microscopy (PALM) imaging to probe sub-diffraction limit interactions between proteins with spectrally separated labels. Using a PALM setup built around a commercial microscope axially stabilized to nm-level, we determined the ultimate registration accuracy that could be achieved (10 nm) and compared the performance of three different pairs of fluorescent proteins that can be used in dual color PALM. Fusion constructs were cloned and imaged either in vitro or at the cell plasma membrane, allowing to identify a current limit to co-localization precision of approximately 30–40 nm. We identified the better performing pair and present a concluding perspective application to a co-clustering study.

Multicolor single molecule tracking of stochastically active synthetic dyes.

Abstract: Single particle tracking can reveal dynamic information at the scale of single molecules in living cells but thus far has been limited either in the range of potential protein targets or in the quality and number of tracks attainable. We demonstrate a new approach to single molecule tracking by using the blinking properties of synthetic dyes targeted to proteins of interest with genetically encoded tags to generate high-density tracks while maintaining flexibility in protein labeling. We track membrane proteins using different combinations of dyes and show that the concept can be extended to three-color imaging. Moreover, we show that this technique is not limited to the membrane by performing live tracking of proteins in intracellular compartments.

Single-Molecule Localization Super-Resolution Microscopy: Deeper and Faster

Abstract: For over a decade fluorescence microscopy has demonstrated the capacity to achieve single-molecule localization accuracies of a few nanometers, well below the ≈ 200 nm lateral and ≈ 500 nm axial resolution limit of conventional microscopy. Yet, only the recent development of new fluorescence labeling modalities, the increase in sensitivity of imaging hardware, and the creation of novel image analysis tools allow for the emergence of single-molecule-based super-resolution imaging techniques. Novel methods such as photoactivated localization microscopy and stochastic optical reconstruction microscopy can typically reach a tenfold increase in resolution compared to standard microscopy methods. Their implementation is relatively easy only requiring minimal changes to a conventional wide-field or total internal reflection fluorescence microscope. The recent translation of these two methods into commercial imaging systems has made them further accessible to researchers in biology. However, these methods are still evolving rapidly toward imaging live samples with high temporal resolution and depth. In this review, we recall the roots of single-molecule localization microscopy, summarize major recent developments, and offer perspective on potential applications.

Optical techniques for imaging membrane domains in live cells (live-cell palm of protein clustering).

Abstract: It is now recognized that the plasma membrane is not homogeneous but instead contains a variety of membrane microdomains. These include lipid microdomains (lipid rafts) and protein clusters which exist on a range of size and time scales but are often small and short-lived. The small size and dynamic nature of membrane domains has made them difficult to study by conventional fluorescence microscopy approaches. Photoactivated localization microscopy (PALM) is a super-resolution technique capable of localizing the positions of individual molecules with tens of nanometers precision. Here, we describe a method for imaging membrane proteins using PALM, including live-cell PALM, to detect the molecular clustering of plasma membrane proteins using a statistical cluster-analysis method based on Ripley's K-function. While the method is applicable to a wide variety of proteins in various biological systems, to illustrate the technique, we will image and analyze the clustering behavior of the adaptor protein Linker for activation of T cells (LAT) at the T cell immunological synapse [Williamson, D. J., Owen, D. M., Rossy, J., Magenau, A., Wehrmann, M., Gooding, J. J. , and Gaus, K. (2011). Pre-existing clusters of the adaptor Lat do not participate in early T cell signaling events. Nat. Immunol.12, 655–662.].

Optimization of cell morphology measurement via single-molecule tracking PALM.

Abstract: In neurons, the shape of dendritic spines relates to synapse function, which is rapidly altered during experience-dependent neural plasticity. The small size of spines makes detailed measurement of their morphology in living cells best suited to super-resolution imaging techniques. The distribution of molecular positions mapped via live-cell Photoactivated Localization Microscopy (PALM) is a powerful approach, but molecular motion complicates this analysis and can degrade overall resolution of the morphological reconstruction. Nevertheless, the motion is of additional interest because tracking single molecules provides diffusion coefficients, bound fraction, and other key functional parameters. We used Monte Carlo simulations to examine features of single-molecule tracking of practical utility for the simultaneous determination of cell morphology. We find that the accuracy of determining both distance and angle of motion depend heavily on the precision with which molecules are localized. Strikingly, diffusion within a bounded region resulted in an inward bias of localizations away from the edges, inaccurately reflecting the region structure. This inward bias additionally resulted in a counterintuitive reduction of measured diffusion coefficient for fast-moving molecules; this effect was accentuated by the long camera exposures typically used in single-molecule tracking. Thus, accurate determination of cell morphology from rapidly moving molecules requires the use of short integration times within each image to minimize artifacts caused by motion during image acquisition. Sequential imaging of neuronal processes using excitation pulses of either 2 ms or 10 ms within imaging frames confirmed this: processes appeared erroneously thinner when imaged using the longer excitation pulse. Using this pulsed excitation approach, we show that PALM can be used to image spine and spine neck morphology in living neurons. These results clarify a number of issues involved in interpretation of single-molecule data in living cells and provide a method to minimize artifacts in single-molecule experiments.

Extending the fundamental imaging-depth limit of multi-photon microscopy by imaging with photo-activatable fluorophores

Abstract: It is highly desirable to be able to optically probe biological activities deep inside live organisms. By employing a spatially confined excitation via a nonlinear transition, multiphoton fluorescence microscopy has become indispensable for imaging scattering samples. However, as the incident laser power drops exponentially with imaging depth due to scattering loss, the out-of-focus fluorescence eventually overwhelms the in-focal signal. The resulting loss of imaging contrast defines a fundamental imaging-depth limit, which cannot be overcome by increasing excitation intensity. Herein we propose to significantly extend this depth limit by multiphoton activation and imaging (MPAI) of photo-activatable fluorophores. The imaging contrast is drastically improved due to the created disparity of bright-dark quantum states in space. We demonstrate this new principle by both analytical theory and experiments on tissue phantoms labeled with synthetic caged fluorescein dye or genetically encodable photoactivatable GFP.

Evanescent-Wave Field Imaging: An Introduction to Total Internal Reflection Fluorescence Microscopy

Abstract: Advancements in technology and computational power in recent years have directly impacted modern microscopy through improvements in light detection, imaging software platforms, as well as integration of complex hardware systems. These successes have allowed for mainstream utilization of previously complex microscopic techniques such as total internal reflection fluorescence (TIRF) microscopy, revealing many aspects of cell biology not previously appreciated. Through the restriction of illumination to areas of cell-coverslip interfaces in combination with modern detectors, TIRF microscopy allows researchers in the life sciences a glimpse of dynamic cellular phenomena with resolutions never before achieved.This chapter provides a basic overview to the concept of TIRF microscopy and some considerations to setting up this technique in the lab.

Simultaneous optically sectioned fluorescence and optical coherence microscopy with full-field illumination.

Abstract: Full-field optical coherence microscopy (FF-OCM) and optically sectioned fluorescence microscopy are two imaging techniques that are implemented here in a novel dual modality instrument. The two imaging modalities use a broad field illumination to acquire the entire field of view without raster scanning. Optical sectioning is achieved in both imaging modalities owing to the coherence gating property of light for FF-OCM, and a structured illumination setup for fluorescence microscopy. Complementary image data are provided by the dual modality instrument in the context of biological tissue screening. FF-OCM imaging modality shows the tissue microarchitecture, while fluorescence microscopy highlights specific tissue features with cellular-level resolution by using targeting contrast agents. Complementary tissue morphology and biochemical features could potentially improve the understanding of cellular functions and disease diagnosis.

Stimulated emission reduced fluorescence microscopy: a concept for extending the fundamental depth limit of two-photon fluorescence imaging.

Abstract: Two-photon fluorescence microscopy has become an indispensable tool for imaging scattering biological samples by detecting scattered fluorescence photons generated from a spatially confined excitation volume. However, this optical sectioning capability breaks down eventually when imaging much deeper, as the out-of-focus fluorescence gradually overwhelms the in-focal signal in the scattering samples. The resulting loss of image contrast defines a fundamental imaging-depth limit, which cannot be overcome by increasing excitation efficiency. Herein we propose to extend this depth limit by performing stimulated emission reduced fluorescence (SERF) microscopy in which the two-photon excited fluorescence at the focus is preferentially switched on and off by a modulated and focused laser beam that is capable of inducing stimulated emission of the fluorophores from the excited states. The resulting image, constructed from the reduced fluorescence signal, is found to exhibit a significantly improved signal-to-background contrast owing to its overall higher-order nonlinear dependence on the incident laser intensity. We demonstrate this new concept by both analytical theory and numerical simulations. For brain tissues, SERF is expected to extend the imaging depth limit of two-photon fluorescence microscopy by a factor of more than 1.8.

Fluorescence Microscopy Light Sources

Abstract: Fluorescence microscopy techniques are now prevalent throughout the life sciences and many of the physical sciences. These techniques are often dependent on white light sources that have evolved from the more traditional mercury arc lamp to metal halide sources to the more recent light emitting diodes (LEDs). The newer light sources show more uniform power across the visible light spectrum, allowing for the use of fluorophores and fluorescent proteins outside of the peak wavelengths associated with the more traditional light sources.

Visualizing proteins in electron micrographs at nanometer resolution.

Abstract: To understand protein function, we need a detailed description of the molecular topography of the cell. The subcellular localization of proteins can be revealed using genetically encoded fluorescent proteins or immunofluorescence. However, the precise localization of proteins cannot be resolved due to the diffraction limit of light. Recently, the diffraction barrier has been overcome by employing several microscopy techniques. Using super-resolution fluorescence microscopy, one can pinpoint the location of proteins at a resolution of 20 nm or even less. However, the cellular context is often absent in these images. Recently, we developed a method for visualizing the subcellular structures in super-resolution images. Here we describe the method with two technical improvements. First, we optimize the method to preserve more fluorescence without compromising the morphology. Second, we implement ground-state depletion and single-molecule return (GSDIM) imaging, which does not rely on photoactivatable fluorescent proteins. These improvements extend the utility of nano-resolution fluorescence electron microscopy (nano-fEM).

Nano-fEM: protein localization using photo-activated localization microscopy and electron microscopy.

Abstract: Mapping the distribution of proteins is essential for understanding the function of proteins in a cell Fluorescence microscopy is extensively used for protein localization, but subcellular context is often absent in fluorescence images Immuno-electron microscopy, on the other hand, can localize proteins, but the technique is limited by a lack of compatible antibodies, poor preservation of morphology and because most antigens are not exposed to the specimen surface Correlative approaches can acquire the fluorescence image from a whole cell first, either from immuno-fluorescence or genetically tagged proteins The sample is then fixed and embedded for electron microscopy, and the images are correlated 1-3 However, the low-resolution fluorescence image and the lack of fiducial markers preclude the precise localization of proteins Alternatively, fluorescence imaging can be done after preserving the specimen in plastic In this approach, the block is sectioned, and fluorescence images and electron micrographs of the same section are correlated 4-7 However, the diffraction limit of light in the correlated image obscures the locations of individual molecules, and the fluorescence often extends beyond the boundary of the cell Nano-resolution fluorescence electron microscopy (nano-fEM) is designed to localize proteins at nano-scale by imaging the same sections using photo-activated localization microscopy (PALM) and electron microscopy PALM overcomes the diffraction limit by imaging individual fluorescent proteins and subsequently mapping the centroid of each fluorescent spot 8-10 We outline the nano-fEM technique in five steps First, the sample is fixed and embedded using conditions that preserve the fluorescence of tagged proteins Second, the resin blocks are sectioned into ultrathin segments (70-80 nm) that are mounted on a cover glass Third, fluorescence is imaged in these sections using the Zeiss PALM microscope Fourth, electron dense structures are imaged in these same sections using a scanning electron microscope Fifth, the fluorescence and electron micrographs are aligned using gold particles as fiducial markers In summary, the subcellular localization of fluorescently tagged proteins can be determined at nanometer resolution in approximately one week

Cellular imaging using total internal reflection fluorescence microscopy: theory and instrumentation.

Abstract: Live cell fluorescent microscopy is important in elucidating dynamic cellular processes such as cell signaling, membrane trafficking, and cytoskeleton remodeling. Often, transient intermediate states are revealed only when imaged and quantitated at the single-molecule, vesicle, or organelle level. Such insight depends on the spatiotemporal resolution and sensitivity of a given microscopy method. Confocal microscopes optically section the cell and improve image contrast and axial resolution (>600 nm) compared with conventional epifluorescence microscopes. Another approach, which can selectively excite fluorophores in an even thinner optical plane ( 1.45) and turnkey TIRFM systems by all the major microscopy manufacturers has made TIRFM increasingly accessible and attractive to biologists, especially when performed in a quantitative manner and complemented with orthogonal genetic and molecular manipulations. This article discusses the optical principles of TIRFM (including a sample calculation of penetration depth), the components of a TIRFM setup, and the use of TIRFM in combination with other imaging modalities.

Simultaneous multiplane in vivo nonlinear microscopy using spectral encoding

Abstract: Conventional point-by-point imaging schemes for laser scanning microscopy limit acquisition speeds, particularly when imaging three-dimensional volumes. We report a novel approach that achieves parallelization of multiple fields of view through the use of spectral encoding. By focusing two or more beams of different wavelengths at different positions within a suitable tissue, fluorescence or second/third harmonic generation emissions from these regions can be uniquely separated. We demonstrate that this approach can allow simultaneous in vivo imaging of fluorescence in two planes within the living rodent cortex, and of second harmonic generation in fresh tissue.