Super-resolution Microscopy Approaches for Live Cell Imaging

By delivering optical images with spatial resolutions below the diffraction limit, several super-resolution fluorescence microscopy techniques opened new opportunities to study biological structures with details approaching molecular structure sizes. They have now become methods of choice for imaging proteins and their nanoscale dynamic organizations in live cells. In this mini-review, we describe and compare the main far-field super-resolution approaches that allow studying endogenous or overexpressed proteins in live cells.     

Super-resolution Microscopy Approaches for Live Cell Imaging

By delivering optical images with spatial resolutions below the diffraction limit, several super-resolution fluorescence microscopy techniques opened new opportunities to study biological structures with details approaching molecular structure sizes. They have now become methods of choice for imaging proteins and their nanoscale dynamic organizations in live cells. In this mini-review, we describe and compare the main far-field super-resolution approaches that allow studying endogenous or overexpressed proteins in live cells.     

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.     

Molecular imaging and stem cell research

During the last decade, there has been enormous progress in understanding both multipotent stem cells such as hematopoietic stem cells and pluripotent stem cells such as embryonic stem cells and induced pluripotent stem cells. However, it has been challenging to study developmental potentials of these stem cells because they reside in complex cellular environments and aspects of their distribution, migration, engraftment, survival, proliferation, and differentiation often could not be sufficiently elucidated based on limited snapshot images of location or environment or molecular markers. Therefore, reliable imaging methods to monitor or track the fate of the stem cells are highly desirable. Both short-term and more permanent monitoring of stem cells in cultures and in live organisms have benefited from recently developed imaging approaches that are designed to investigate cell behavior and function. Confocal and multiphoton microscopy, time-lapse imaging technology, and series of noninvasive imaging technologies enable us to investigate cell behavior in the context of a live organism. In turn, the knowledge gained has brought our understanding of stem cell biology to a new level. In this review, we discuss the application of current imaging modalities for research of hematopoietic stem cells and pluripotent stem cells and the challenges ahead.     

Ex vivo Live Imaging of Lung Metastasis and Their Microenvironment

Metastasis is a major cause for cancer-related morbidity and mortality. Metastasis is a multistep process and due to its complexity, the exact cellular and molecular processes that govern metastatic dissemination and growth are still elusive. Live imaging allows visualization of the dynamic and spatial interactions of cells and their microenvironment. Solid tumors commonly metastasize to the lungs. However, the anatomical location of the lungs poses a challenge to intravital imaging. This protocol provides a relatively simple and quick method for ex vivo live imaging of the dynamic interactions between tumor cells and their surrounding stroma within lung metastasis. Using this method, the motility of cancer cells as well as interactions between cancer cells and stromal cells in their microenvironment can be visualized in real time for several hours. By using transgenic fluorescent reporter mice, a fluorescent cell line, injectable fluorescently labeled molecules and/or antibodies, multiple components of the lung microenvironment can be visualized, such as blood vessels and immune cells. To image the different cell types, a spinning disk confocal microscope that allows long-term continuous imaging with rapid, four-color image acquisition has been used. Time-lapse movies compiled from images collected over multiple positions and focal planes show interactions between live metastatic and immune cells for at least 4 hr. This technique can be further used to test chemotherapy or targeted therapy. Moreover, this method could be adapted for the study of other lung-related pathologies that may affect the lung microenvironment.     

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.     

In vivo cytometry: a spectrum of possibilities.

BACKGROUND: We investigate whether optical imaging can reliably detect abnormalities in tissue, in a range of specimens (live cells in vitro; fixed, fresh ex-vivo and in vivo tissue), without the use of added contrast agents, and review our promising spectral methods for achieving quantitative, real-time, high resolution intrasurgical optical diagnostics. METHODS: We use reflectance, fluorescence, two-photon, and Mie scattering imaging, performed with instrumentation we developed or modified, to detect intrinsic tissue signatures. Emphasis is on spectral/hyperspectral imaging approaches allowing the equivalent of in vivo pathology. RESULTS: With experimental focus on unstained specimens, we demonstrate the ability to segment tissue images for cancer detection. Spectral reflectance imaging, coupled with advanced analysis, typically yields 90% specificity and sensitivity. Autofluorescence is also shown to be diagnostically useful, with lymph nodes results highlighted here. Elastic scattering hyperspectral imaging endoscopy, using a new instrument we designed and built, shows promise in bronchoscopic detection of dysplasia and early cancer in patients. CONCLUSIONS: The results demonstrate that advanced optical imaging can detect and localize cellular signatures of cancer in real-time, in vivo, without the use of contrast agents, in animals and humans. This is an important step towards tight spatio-temporal coupling between such detection and clinical intervention.     

FRET imaging

F?rster (or Fluorescence) Resonance Energy Transfer (FRET) is unique in generating fluorescence signals sensitive to molecular conformation, association, and separation in the 1-10 nm range. We introduce a revised photophysical framework for the phenomenon and provide a systematic catalog of FRET techniques adapted to imaging systems, including new approaches proposed as suitable prospects for implementation. Applications extending from a single molecule to live cells will benefit from multidimensional microscopy techniques, particularly those adapted for optical sectioning and incorporating new algorithms for resolving the component contributions to images of complex molecular systems.     

Visualizing Escherichia coli sub-cellular structure using sparse deconvolution Spatial Light Interference Tomography

Studying the 3D sub-cellular structure of living cells is essential to our understanding of biological function. However, tomographic imaging of live cells is challenging mainly because they are transparent, i.e., weakly scattering structures. Therefore, this type of imaging has been implemented largely using fluorescence techniques. While confocal fluorescence imaging is a common approach to achieve sectioning, it requires fluorescence probes that are often harmful to the living specimen. On the other hand, by using the intrinsic contrast of the structures it is possible to study living cells in a non-invasive manner. One method that provides high-resolution quantitative information about nanoscale structures is a broadband interferometric technique known as Spatial Light Interference Microscopy (SLIM). In addition to rendering quantitative phase information, when combined with a high numerical aperture objective, SLIM also provides excellent depth sectioning capabilities. However, like in all linear optical systems, SLIM's resolution is limited by diffraction. Here we present a novel 3D field deconvolution algorithm that exploits the sparsity of phase images and renders images with resolution beyond the diffraction limit. We employ this label-free method, called deconvolution Spatial Light Interference Tomography (dSLIT), to visualize coiled sub-cellular structures in E. coli cells which are most likely the cytoskeletal MreB protein and the division site regulating MinCDE proteins. Previously these structures have only been observed using specialized strains and plasmids and fluorescence techniques. Our results indicate that dSLIT can be employed to study such structures in a practical and non-invasive manner.     

A Microfluidic Platform for Correlative Live-Cell and Super-Resolution Microscopy

Recently, super-resolution microscopy methods such as stochastic optical reconstruction microscopy (STORM) have enabled visualization of subcellular structures below the optical resolution limit. Due to the poor temporal resolution, however, these methods have mostly been used to image fixed cells or dynamic processes that evolve on slow time-scales. In particular, fast dynamic processes and their relationship to the underlying ultrastructure or nanoscale protein organization cannot be discerned. To overcome this limitation, we have recently developed a correlative and sequential imaging method that combines live-cell and super-resolution microscopy. This approach adds dynamic background to ultrastructural images providing a new dimension to the interpretation of super-resolution data. However, currently, it suffers from the need to carry out tedious steps of sample preparation manually. To alleviate this problem, we implemented a simple and versatile microfluidic platform that streamlines the sample preparation steps in between live-cell and super-resolution imaging. The platform is based on a microfluidic chip with parallel, miniaturized imaging chambers and an automated fluid-injection device, which delivers a precise amount of a specified reagent to the selected imaging chamber at a specific time within the experiment. We demonstrate that this system can be used for live-cell imaging, automated fixation, and immunostaining of adherent mammalian cells in situ followed by STORM imaging. We further demonstrate an application by correlating mitochondrial dynamics, morphology, and nanoscale mitochondrial protein distribution in live and super-resolution images.     

Four-dimensional imaging and quantitative reconstruction to analyse complex spatiotemporal processes in live cells

Live-cell imaging technology using fluorescent proteins (green fluorescent protein and its homologues) has revolutionized the study of cellular dynamics. But tools that can quantitatively analyse complex spatiotemporal processes in live cells remain lacking. Here we describe a new technique--fast multi-colour four-dimensional imaging combined with automated and quantitative time-space reconstruction--to fill this gap. As a proof of principle, we apply this method to study the re-formation of the nuclear envelope in live cells. Four-dimensional imaging of three spectrally distinct fluorescent proteins is used to simultaneously visualize three different cellular compartments at high speed and with high spatial resolution. The highly complex data, comprising several thousand images from a single cell, were quantitatively reconstructed in time-space by software developed in-house. This analysis reveals quantitative and qualitative insights into the highly ordered topology of nuclear envelope formation, in correlation with chromatin expansion - results that would have been impossible to achieve by manual inspection alone. Our new technique will greatly facilitate study of the highly ordered dynamic architecture of eukaryotic cells.     

Multicolor protein labeling in living cells using mutant β-lactamase-tag technology

Protein labeling techniques using small molecule probes have become important as practical alternatives to the use of fluorescent proteins (FPs) in live cell imaging. These labeling techniques can be applied to more sophisticated fluorescence imaging studies such as pulse-chase imaging. Previously, we reported a novel protein labeling system based on the combination of a mutant β-lactamase (BL-tag) with coumarin-derivatized probes and its application to specific protein labeling on cell membranes. In this paper, we demonstrated the broad applicability of our BL-tag technology to live cell imaging by the development of a series of fluorescence labeling probes for this technology, and the examination of the functions of target proteins. These new probes have a fluorescein or rhodamine chromophore, each of which provides enhanced photophysical properties relative to coumarins for the purpose of cellular imaging. These probes were used to specifically label the BL-tag protein and could be used with other small molecule fluorescent probes. Simultaneous labeling using our new probes with another protein labeling technology was found to be effective. In addition, it was also confirmed that this technology has a low interference with respect to the functions of target proteins in comparison to GFP. Highly specific and fast covalent labeling properties of this labeling technology is expected to provide robust tools for investigating protein functions in living cells, and future applications can be improved by combining the BL-tag technology with conventional imaging techniques. The combination of probe synthesis and molecular biology techniques provides the advantages of both techniques and can enable the design of experiments that cannot currently be performed using existing tools.     

Tracking molecular particles in live cells using fuzzy rule-based system.

Recent development of detection techniques of molecular particles in live cells has stimulated interest in developing the new powerful techniques to track the molecular particles in live cells. One special type of cellular microscopy images is about the formation and transportation of clathrin-coated pits and vesicles. Clathrin-coated pits are very important in studying the behavior of proteins and lipids in live cells. To answer the question, whether there exist "hot spots" for the formation of Clathrin-coated pits or the pits and arrays formed randomly on the plasma membrane, it is necessary to track many hundreds of individual pits dynamically in live-cell microscope movies to capture and monitor how pits and vesicles were formed. Therefore, a motion correspondence algorithm based on fuzzy rule-based system is proposed to resolve the problem of ambiguous association encountered in these dynamic, live-cell images of clathrin assemblies. Results show that this method can accurately track most of the particles in the high volume images.     

FLOW CYTOMETRY AND THE SINGLE CELL IN PHYCOLOGY

Flow cytometers measure light scattering and fluorescence characteristics from individual particles in a fluid stream as they cross one or more light beams at rates of up to thousands of events per second. Flow cytometrically detectable optical signals may arise naturally from algae, reflecting cell size, structure, and endogenous pigmentation, or may be generated by fluorescent stains that report the presence of otherwise undetected cellular constituents. Some flow cytometers can physically sort particles with desired optical characteristics out of the flow stream and collect them for subsequent culture or other analyses. The statistically rigorous, cell‐level perspective provided by flow cytometry has been advantageous in experimental investigations of phycological problems, such as the regulation of cell cycle progression. The capacity of flow cytometry to measure large numbers of cells in large numbers of samples rapidly and quantitatively has been used extensively by biological oceanographers to define the distributions and dynamics of marine picophytoplankton. Recent work has shown that flow cytometry can be used to elucidate relationships between the optical properties of individual cells and the bulk optical properties of the water they live in, and thereby may provide an explicit link between algal physiology and global biogeochemistry. Unfortunately, commercially available flow cytometers that are optimized for biomedical applications have a limited capacity to analyze larger phytoplankton. To circumvent these limitations, many investigators are developing flow cytometers specifically designed for analyzing the broad range of sizes, shapes, and pigments found among algae. These new instruments can perform some novel measurements, including simple fluorescence excitation spectra, detailed angular scattering measurements, and in‐flow digital imaging. The growing accessibility and power of flow cytometers may allow the technology to be applied to a wider array of problems in phycology, including investigations of nonplanktonic and multicellular algae, but also presents new challenges for effectively analyzing the large quantity of multiparameter data produced. Ultimately, the detection of molecular probes by flow cytometry may allow single‐cell taxonomic and physiological information to be garnered for a variety of algae, both in culture and in nature.     

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.     

AFM: a nanotool in membrane biology

Cellular membranes are vital for life. They confine cells and cytosolic compartments and are involved in virtually every cellular process. Cellular membranes form cellular contacts and focal adhesions, anchor the cytoskeleton, generate energy gradients, transform energy, transduce signals, move cells, and actively form compartments to assemble different membrane proteins into functional entities. But how do cellular membranes perform these tasks? What do the machineries of cellular membranes look like, and how are they controlled and guided? Atomic force microscopy (AFM) allows the observation of biological surfaces in their native environment at a signal-to-noise ratio superior to that of any optical microscopic technique. With a spatial resolution approaching approximately 1 nm, AFM can identify the supramolecular assemblies, characteristic structure, and functional conformation of native membrane proteins. In recent years, AFM has evolved from imaging applications to a multifunctional "laboratory on a tip" that allows observation and manipulation of the machineries of cellular membranes. In the force spectroscopy mode, AFM detects interactions between two single cells at molecular resolution. Force spectroscopy can also be used to probe the local elasticity, chemical groups, and receptor sites of live cells. Other applications locate molecular interactions driving membrane protein folding, assembly, and their switching between functional states. It is also possible to examine the energy landscape of biomolecular reactions, as well as reaction pathways, associated lifetimes, and free energy. In this review, we provide a flavor of the fascinating opportunities offered by the use of AFM as a nanobiotechnological tool in modern membrane biology.     

Live-cell imaging with EosFP and other photoactivatable marker proteins of the GFP family

Fluorescent proteins from the green fluorescent protein family have become indispensable imaging tools for cell biology. A wide variety of these proteins were discovered in nonbioluminescent anthozoa in recent years. Some of them feature exciting new properties, with the possibility to alter their intensity and/or fluorescence color by irradiation with light of specific wavelengths. Fluorescent highlighter proteins enable many interesting applications based on regional optical marking in live cells and tissues. This review provides an overview of photoactivatable marker proteins, with a focus on EosFP, a protein that can be switched from green to red fluorescence by approximately 400-nm light. A variety of applications are presented to illustrate the versatility of EosFP in live-cell imaging.     

Live-cell imaging with EosFP and other photoactivatable marker proteins of the GFP family

Fluorescent proteins from the green fluorescent protein family have become indispensable imaging tools for cell biology. A wide variety of these proteins were discovered in nonbioluminescent anthozoa in recent years. Some of them feature exciting new properties, with the possibility to alter their intensity and/or fluorescence color by irradiation with light of specific wavelengths. Fluorescent highlighter proteins enable many interesting applications based on regional optical marking in live cells and tissues. This review provides an overview of photoactivatable marker proteins, with a focus on EosFP, a protein that can be switched from green to red fluorescence by approximately 400-nm light. A variety of applications are presented to illustrate the versatility of EosFP in live-cell imaging.     

Forcing a connection: impacts of single-molecule force spectroscopy on in vivo tension sensing

Mechanical tension plays a large role in cell development ranging from morphology to gene expression. On the molecular level, the effects of tension can be seen in the dynamic arrangement of membrane proteins as well as the recruitment and activation of intracellular proteins. Forces applied to biopolymers during in vitro force measurements offer greater understanding of the effects of tension on molecules in live cells, and experimental techniques involving test tubes and live cells can often overlap. Indeed, when forces exerted on cellular components can be calibrated ex vivo with force spectroscopy, a powerful tool is available for researchers in probing cellular mechanotransduction on the molecular scale. This review will discuss the techniques used in measuring both cellular traction forces and single-molecule force spectroscopy. Emphasis will be placed on the use of fluorescence reporter systems for the development of in vivo tension sensors that can be used for calibration with single molecule force methods.     

Image-based cell phenotyping with deep learning

A cell's phenotype is the culmination of several cellular processes through a complex network of molecular interactions that ultimately result in a unique morphological signature. Visual cell phenotyping is the characterization and quantification of these observable cellular traits in images. Recently, cellular phenotyping has undergone a massive overhaul in terms of scale, resolution, and throughput, which is attributable to advances across electronic, optical, and chemical technologies for imaging cells. Coupled with the rapid acceleration of deep learning–based computational tools, these advances have opened up new avenues for innovation across a wide variety of high-throughput cell biology applications. Here, we review applications wherein deep learning is powering the recognition, profiling, and prediction of visual phenotypes to answer important biological questions. As the complexity and scale of imaging assays increase, deep learning offers computational solutions to elucidate the details of previously unexplored cellular phenotypes.