Imaging the live plant cell

Observing a biological event as it unfolds in the living cell provides unique insight into the nature of the phenomenon under study. Capturing live cell data differs from imaging fixed preparations because living plants respond to the intense light used in the imaging process. In addition, live plant cells are inherently thick specimens containing colored and fluorescent molecules often removed when the plant is fixed and sectioned. For fixed cells, the straightforward goal is to maximize contrast and resolution. For live cell imaging, maximizing contrast and resolution will probably damage the specimen or rapidly bleach the probe. Therefore, the goals are different. Live cell imaging seeks a balance between image quality and the information content that comes with increasing contrast and resolution. That "lousy" live cell image may contain all the information needed to answer the question being posed--provided the investigator properly framed the question and imaged the cells appropriately. Successful data collection from live cells requires developing a specimen-mounting protocol, careful selection and alignment of microscope components, and a clear understanding of how the microscope system generates contrast and resolution. This paper discusses general aspects of modern live cell imaging and the special considerations for imaging live plant specimens.     

Single-Molecule Imaging on Living Bacterial Cell Surface by High-Speed AFM

Advances in microscopy have contributed to many biologic discoveries. Electron microscopic techniques such as cryo-electron tomography are remarkable tools for imaging the interiors of bacterial cells in the near-native state, whereas optical microscopic techniques such as fluorescence imaging are useful for following the dynamics of specific single molecules in living cells. Neither technique, however, can be used to visualize the structural dynamics of a single molecule at high resolution in living cells. In the present study, we used high-speed atomic force microscopy (HS-AFM) to image the molecular dynamics of living bacterial cell surfaces. HS-AFM visualizes the dynamic molecular processes of isolated proteins at sub-molecular resolution without the need for complicated sample preparation. In the present study, magnetotactic bacterial cells were anchored in liquid medium on substrate modified by poly-l-lysine and glutaraldehyde. High-resolution HS-AFM images of live cell surfaces showed that the bacterial outer membrane was covered with a net-like structure comprising holes and the hole rims framing them. Furthermore, HS-AFM captured the dynamic movement of the surface ultrastructure, showing that the holes in the net-like structure slowly diffused in the cell surface. Nano-dissection revealed that porin trimers constitute the net-like structure. Here, we report for the first time the direct observation of dynamic molecular architectures on a live cell surface using HS-AFM.     

NetMHCIIpan-2.0 - Improved pan-specific HLA-DR predictions using a novel concurrent alignment and weight optimization training procedure

Background

Macrophages represent the front lines of our immune system; they recognize and engulf pathogens or foreign particles thus initiating the immune response. Imaging macrophages presents unique challenges, as most optical techniques require labeling or staining of the cellular compartments in order to resolve organelles, and such stains or labels have the potential to perturb the cell, particularly in cases where incomplete information exists regarding the precise cellular reaction under observation. Label-free imaging techniques such as Raman microscopy are thus valuable tools for studying the transformations that occur in immune cells upon activation, both on the molecular and organelle levels. Due to extremely low signal levels, however, Raman microscopy requires sophisticated image processing techniques for noise reduction and signal extraction. To date, efficient, automated algorithms for resolving sub-cellular features in noisy, multi-dimensional image sets have not been explored extensively.

Results

We show that hybrid z-score normalization and standard regression (Z-LSR) can highlight the spectral differences within the cell and provide image contrast dependent on spectral content. In contrast to typical Raman imaging processing methods using multivariate analysis, such as single value decomposition (SVD), our implementation of the Z-LSR method can operate nearly in real-time. In spite of its computational simplicity, Z-LSR can automatically remove background and bias in the signal, improve the resolution of spatially distributed spectral differences and enable sub-cellular features to be resolved in Raman microscopy images of mouse macrophage cells. Significantly, the Z-LSR processed images automatically exhibited subcellular architectures whereas SVD, in general, requires human assistance in selecting the components of interest.

Conclusions

The computational efficiency of Z-LSR enables automated resolution of sub-cellular features in large Raman microscopy data sets without compromise in image quality or information loss in associated spectra. These results motivate further use of label free microscopy techniques in real-time imaging of live immune cells.     

Integration of diffraction phase microscopy and Raman imaging for label‐free morpho‐molecular assessment of live cells

Label‐free quantitative imaging is highly desirable for studying live cells by extracting pathophysiological information without perturbing cell functions. Here, we demonstrate a novel label‐free multimodal optical imaging system with the capability of providing comprehensive morphological and molecular attributes of live cells. Our morpho‐molecular microscopy (3M) system draws on the combined strength of quantitative phase microscopy (QPM) and Raman microscopy to probe the morphological features and molecular fingerprinting characteristics of each cell under observation. While the commonr‐path geometry of our QPM system allows for highly sensitive phase measurement, the Raman microscopy is equipped with dual excitation wavelengths and utilizes the same detection and dispersion system, making it a distinctive multi‐wavelength system with a small footprint. We demonstrate the applicability of the 3M system by investigating nucleated and nonnucleated cells. This integrated label‐free platform has a promising potential in preclinical research, as well as in clinical diagnosis in the near future.      

Quantitative motion analysis and visualization of cellular structures

The availability of cellular markers tagged with the green fluorescent protein (GFP) has recently allowed a large number of cell biological studies to be carried out in live cells, thereby addressing the dynamic organization of cellular structures. Typically, microscopes capable of video recording are used to generate time-resolved data sets. Dynamic imaging data are complex and often difficult to interpret by pure visual inspection. Therefore, specialized image processing methods for object detection, motion estimation, visualization, and quantitation are required. In this review, we discuss concepts for automated analysis of multidimensional image data from live cell microscopy and their application to the dynamics of cell nuclear subcompartments.     

Maximizing content across scales: Moving multimodal microscopy and mesoscopy toward molecular imaging

Molecular imaging aims to depict the molecules in living patients. However, because this aim is still far beyond reach, patchworks of different solutions need to be used to tackle this overarching goal. From the vast toolbox of imaging techniques, we focus on those recent advances in optical microscopy that image molecules and cells at the submicron to centimeter scale. Mesoscopic imaging covers the “imaging gap” between techniques such as confocal microscopy and magnetic resonance imagingthat image entire live samples but with limited resolution. Microscopy focuses on the cellular level; mesoscopy visualizes the organization of molecules and cells into tissues and organs. The correlation between these techniques allows us to combine disciplines ranging from whole body imaging to basic research of model systems. We review current developments focused on improving microscopic and mesoscopic imaging technologies and on hardware and software that push the current sensitivity and resolution boundaries.     

A method for imaging single molecules at the plasma membrane of live cells within tissue slices

Recent advances in light microscopy allow individual biological macromolecules to be visualized in the plasma membrane and cytosol of live cells with nanometer precision and ∼10-ms time resolution. This allows new discoveries to be made because the location and kinetics of molecular interactions can be directly observed in situ without the inherent averaging of bulk measurements. To date, the majority of single-molecule imaging studies have been performed in either unicellular organisms or cultured, and often chemically fixed, mammalian cell lines. However, primary cell cultures and cell lines derived from multi-cellular organisms might exhibit different properties from cells in their native tissue environment, in particular regarding the structure and organization of the plasma membrane. Here, we describe a simple approach to image, localize, and track single fluorescently tagged membrane proteins in freshly prepared live tissue slices and demonstrate how this method can give information about the movement and localization of a G protein–coupled receptor in cardiac tissue slices. In principle, this experimental approach can be used to image the dynamics of single molecules at the plasma membrane of many different soft tissue samples and may be combined with other experimental techniques.     

Specific, sensitive, high-resolution detection of protein molecules in eukaryotic cells using metal-tagging transmission electron microscopy

More than any other methodology, transmission electron microscopy (TEM) has contributed to our understanding of the architecture and organization of cells. With current detection limits approaching atomic resolution, it will ultimately become possible to ultrastructurally image intracellular macromolecular assemblies in situ. Presently, however, methods to unambiguously identify proteins within the crowded environment of the cell's interior are lagging behind. We describe an approach, metal-tagging TEM (METTEM), that allows detection of intracellular proteins in mammalian cells with high specificity, exceptional sensitivity, and at molecular scale resolution. In live cells treated with gold salts, proteins bearing a small metal-binding tag will form 1-nm gold nanoclusters, readily detectable in electron micrographs. The applicability and strength of METTEM is demonstrated by a study of Rubella virus replicase and capsid proteins, which revealed virus-induced cell structures not seen before.     

In silico optimization of radioluminescence microscopy

Radioluminescence microscopy (RLM) is a high‐resolution method for imaging radionuclide uptake in live cells within a fluorescence microscopy environment. Although RLM currently provides sufficient spatial resolution and sensitivity for cell imaging, it has not been systematically optimized. This study seeks to optimize the parameters of the system by computational simulation using a combination of numerical models for the system's various components: Monte‐Carlo simulation for radiation transport, 3D optical point‐spread function for the microscope, and stochastic photosensor model for the electron multiplying charge coupled device (EMCCD) camera. The relationship between key parameters and performance metrics relevant to image quality is examined. Results show that Lu₂O₃:Eu yields the best performance among 5 different scintillator materials, and a thickness: 8 μm can best balance spatial resolution and sensitivity. For this configuration, a spatial resolution of ~20 μm and sensitivity of 40% can be achieved for all 3 magnifications investigated, provided that the user adjusts pixel binning and electron multiplying (EM) gain accordingly. Hence the primary consideration for selecting the magnification should be the desired field of view and magnification for concurrent optical microscopy studies. In conclusion, this study estimates the optimal imaging performance achievable with RLM and promotes further development for more robust imaging of cellular processes using radiotracers.      

Computational exploration of structural information from cryo-electron tomograms

Cryo-electron tomography aims to act as an interface between in vivo cell imaging and techniques achieving atomic resolution. This attempt to bridge the resolution gap is facilitated by recent software and hardware advances. Information provided by atomically resolved macromolecules and molecular interaction data need to be put into a common framework in order to create a hybrid multidimensional cellular image. A major partner in this enterprise is the development of regularization and pattern recognition techniques, which try to identify macromolecular complexes as a function of their structural signature in cryo-electron tomograms of living cells.     

Differential RhoA Dynamics in Migratory and Stationary Cells Measured by FRET and Automated Image Analysis

Genetically-encoded biosensors based on fluorescence resonance energy transfer (FRET) have been widely applied to study the spatiotemporal regulation of molecular activity in live cells with high resolution. The efficient and accurate quantification of the large amount of imaging data from these single-cell FRET measurements demands robust and automated data analysis. However, the nonlinear movement of live cells presents tremendous challenge for this task. Based on image registration of the single-cell movement, we have developed automated image analysis methods to track and quantify the FRET signals within user-defined subcellular regions. In addition, the subcellular pixels were classified according to their associated FRET signals and the dynamics of the clusters analyzed. The results revealed that the EGF-induced reduction of RhoA activity in migratory HeLa cells is significantly less than that in stationary cells. Furthermore, the RhoA activity is polarized in the migratory cells, with the gradient of polarity oriented toward the opposite direction of cell migration. In contrast, there is a lack of consistent preference in RhoA polarity among stationary cells. Therefore, our image analysis methods can provide powerful tools for high-throughput and systematic investigation of the spatiotemporal molecular activities in regulating functions of live cells with their shapes and positions continuously changing in time.     

Joint tagging assisted fluctuation nanoscopy enables fast high‐density super‐resolution imaging

In fluctuation‐based optical nanoscopy, investigating high‐density labeled subcellular structures with high fidelity has been a significant challenge. In this study, based on super‐resolution radial fluctuation (SRRF) microscopy, the joint tagging (JT) strategy is employed to enable fast high‐density nanoscopic imaging and tracking. In fixed cell experiment, multiple types of quantum dots with distinguishable fluorescence spectra are jointly tagged to subcellular microtubules. In each spectral channel, the decrease in labeling density guarantees the high‐fidelity super‐resolution reconstruction using SRRF microscopy. Subsequently, the combination of all spectral channels achieves high‐density super‐resolution imaging of subcellular microtubules with a resolution of ~62 nm using JT assisted SRRF technique. In the live‐cell experiment, 3‐channel JT is utilized to track the dynamic motions of high‐density toxin‐induced lipid clusters for 1 minute, achieving the simultaneous tracking of many individual toxin‐induced lipid clusters spatially distributed significantly below the optical diffraction limit in living cells.      

Photoactivated Localization Microscopy with Bimolecular Fluorescence Complementation (BiFC-PALM)

Protein-protein interactions (PPIs) are key molecular events to biology. However, it remains a challenge to visualize PPIs with sufficient resolution and sensitivity in cells because the resolution of conventional light microscopy is diffraction-limited to ~250 nm. By combining bimolecular fluorescence complementation (BiFC) with photoactivated localization microscopy (PALM), PPIs can be visualized in cells with single molecule sensitivity and nanometer spatial resolution. BiFC is a commonly used technique for visualizing PPIs with fluorescence contrast, which involves splitting of a fluorescent protein into two non-fluorescent fragments. PALM is a recent superresolution microscopy technique for imaging biological samples at the nanometer and single molecule scales, which uses phototransformable fluorescent probes such as photoactivatable fluorescent proteins (PA-FPs). BiFC-PALM was demonstrated by splitting PAmCherry1, a PA-FP compatible with PALM, for its monomeric nature, good single molecule brightness, high contrast ratio, and utility for stoichiometry measurements. When split between amino acids 159 and 160, PAmCherry1 can be made into a BiFC probe that reconstitutes efficiently at 37 °C with high specificity to PPIs and low non-specific reconstitution. Ras-Raf interaction is used as an example to show how BiFC-PALM helps to probe interactions at the nanometer scale and with single molecule resolution. Their diffusion can also be tracked in live cells using single molecule tracking (smt-) PALM. In this protocol, factors to consider when designing the fusion proteins for BiFC-PALM are discussed, sample preparation, image acquisition, and data analysis steps are explained, and a few exemplary results are showcased. Providing high spatial resolution, specificity, and sensitivity, BiFC-PALM is a useful tool for studying PPIs in intact biological samples.     

Fingerprint‐to‐CH stretch continuously tunable high spectral resolution stimulated Raman scattering microscope

Stimulated Raman scattering (SRS) microscopy is a label‐free method generating images based on chemical contrast within samples, and has already shown its great potential for high‐sensitivity and fast imaging of biological specimens. The capability of SRS to collect molecular vibrational signatures in bio‐samples, coupled with the availability of powerful statistical analysis methods, allows quantitative chemical imaging of live cells with sub‐cellular resolution. This application has substantially driven the development of new SRS microscopy platforms. Indeed, in recent years, there has been a constant effort on devising configurations able to rapidly collect Raman spectra from samples over a wide vibrational spectral range, as needed for quantitative analysis by using chemometric methods. In this paper, an SRS microscope which exploits spectral shaping by a narrowband and rapidly tunable acousto‐optical tunable filter (AOTF) is presented. This microscope enables spectral scanning from the Raman fingerprint region to the Carbon‐Hydrogen (CH)‐stretch region without any modification of the optical setup. Moreover, it features also a high enough spectral resolution to allow resolving Raman peaks in the crowded fingerprint region. Finally, application of the developed SRS microscope to broadband hyperspectral imaging of biological samples over a large spectral range from 800 to 3600 cm^?1, is demonstrated.     

Correlative 3D imaging of whole mammalian cells with light and electron microscopy

We report methodological advances that extend the current capabilities of ion-abrasion scanning electron microscopy (IA-SEM), also known as focused ion beam scanning electron microscopy, a newly emerging technology for high resolution imaging of large biological specimens in 3D. We establish protocols that enable the routine generation of 3D image stacks of entire plastic-embedded mammalian cells by IA-SEM at resolutions of ∼10–20 nm at high contrast and with minimal artifacts from the focused ion beam. We build on these advances by describing a detailed approach for carrying out correlative live confocal microscopy and IA-SEM on the same cells. Finally, we demonstrate that by combining correlative imaging with newly developed tools for automated image processing, small 100 nm-sized entities such as HIV-1 or gold beads can be localized in SEM image stacks of whole mammalian cells. We anticipate that these methods will add to the arsenal of tools available for investigating mechanisms underlying host-pathogen interactions, and more generally, the 3D subcellular architecture of mammalian cells and tissues.     

Low-energy-loss electron microscopy of doxorubicin in human breast cancer MCF-7 cells: localization by color

The distribution of the anti-cancer drug doxorubicin (DOX) in human breast cancer MCF-7 cells was imaged directly by low-energy-loss electron microscopy (EM) without specific antibodies or heavy metal stains, using only the electron-induced molecular orbital excitation of the drug. Cells treated with DOX were examined live by confocal fluorescence microscopy and as very thin sections in an electron microscope equipped with an electron energy filter having an energy resolution of 1 eV. The distribution of DOX obtained by EM from pairs of images at energy losses of 3+/-1 eV and 10+/-1 eV agreed with fluorescence microscope observations, but provided much more detail, easily distinguishing localization between nuclear membrane and perimembrane compartments and between vacuolated nucleoli and perinucleolar chromatin. Treatment times up to 1h and DOX concentrations up to 30 microM indicated a progression of DOX ingress from higher concentrations in the nuclear membrane to labeling of the nucleolus. Subsequently DOX moved into perinucleolar chromatin and concentrated in perimembrane chromatin aggregations. Quantification of the DOX signal indicated a decay half-life of 320 e/A2 under electron irradiation, whereas each image at 3000 x required 10 e/A2. The results point to a new field of high resolution microanalysis: color electron microscopy.     

Studying intracellular transport using high-pressure freezing and Correlative Light Electron Microscopy

Correlative Light Electron Microscopy (CLEM) aims at combining the best of light and electron microscopy in one experiment. Light microscopy (LM) is especially suited for providing a general overview with data from lots of different cells and by using live cell imaging it can show the history or sequence of events between or inside cells. Electron microscopy (EM) on the other hand can provide a much higher resolution image of a particular event and provide additional spatial information, the so-called reference space. CLEM thus has certain strengths over the application of both LM and EM techniques separately. But combining both modalities however generally also means making compromises in one or both of the techniques. Most often the preservation of ultrastructure for the electron microscopy part is sacrificed. Ideally samples should be visualized in its most native state both in the light microscope as well as the electron microscope. For electron microscopy this currently means that the sample will have to be cryo-fixed instead of the standard chemical fixation. In this paper we will discuss the rationale for using cryofixation for CLEM experiments. In particular we will highlight a CLEM technique using high-pressure freezing in combination with live cell imaging. In addition we examine some of the EM analysis tools that may be useful in combination with CLEM techniques.     

Confocal laser scanning microscopy

Many technological advancements of the past decade have contributed to improvements in the photon efficiency of the confocal laser scanning microscope (CLSM). The resolution of images from the new generation of CLSMs is approaching that achieved by the microscope itself because of continued development in digital imaging methods, laser technology and the availability of brighter and more photostable fluorescent probes. Such advances have made possible novel experimental approaches for multiple label fluorescence, live cell imaging and multidimensional microscopy.     

Two-photon laser scanning fluorescence microscopy for functional cellular imaging: Advantages and challenges or One photon is good... but two is better!

One of the main challenges of modern biochemistry and cell biology is to be able to observe molecular dynamics in their functional context, i.e. in live cells in situ. Thus, being able to track ongoing molecular events with maximal spatial and temporal resolution (within subcellular compartments), while minimizing interference with tissue biology, is key to future developments for in situ imaging. The recent use of non-linear optics approaches in tissue microscopy, made possible in large part by the availability of femtosecond pulse lasers, has allowed major advances on this front that would not have been possible with conventional linear microscopy techniques. Of these approaches, the one that has generated most advances to date is two-photon laser scanning fluorescence microscopy. While this approach does not really provide improved resolution over linear microscopy in non absorbing media, it allows us to exploit a window of low absorbance in live tissue in the near infrared range. The end result is much improved tissue penetration, minimizing unwanted excitation outside the focal area, which yields an effective improvement in resolution and sensitivity. The optical system is also simplified and, more importantly, phototoxicity is reduced. These advantages are at the source of the success of two-photon microscopy for functional cellular imaging in situ. Yet, we still face further challenges, reaching the limits of resolution that conventional optics can offer. Here we review some recent advances in optics/photonics approaches that hold promises to improve our ability to probe the tissue in finer areas, at faster speed, and deeper into the tissue. These include super-resolution techniques, introduction of non paraxial optics in microscopy and use of amplified femtosecond lasers, yielding enhanced spatial and temporal resolution as well as tissue penetration.     

Cooperative 4Pi excitation and detection yields sevenfold sharper optical sections in live-cell microscopy

Although the addition of just the excitation light field at the focus, or of just the fluorescence field at the detector is sufficient for a three- to fivefold resolution increase in 4Pi-fluorescence microscopy, substantial improvements of its optical properties are achieved by exploiting both effects simultaneously. They encompass not only an additional expansion of the optical bandwidth, but also an amplified transfer of the newly gained spatial frequencies to the image. Here we report on the realization and the imaging properties of this 4Pi microscopy mode of type C that also is the far-field microscope with the hitherto largest aperture. We show that in conjunction with two-photon excitation, the resulting optical transfer function displays a sevenfold improvement of axial three-dimensional resolution over confocal microscopy in aqueous samples, and more importantly, a marked transfer of all frequencies within its inner region of support. The latter is present also without the confocal pinhole. Thus, linear image deconvolution is possible both for confocalized and nonconfocalized live-cell 4Pi imaging. Realized in a state-of-the-art scanning microscope, this approach enables robust three-dimensional imaging of fixed and live cells at approximately 80 nm axial resolution.