Super-Resolution Fluorescence Microscopy by Single-Molecule Switching
Biological research has been greatly impacted by the invention of fluorescent microscopy (Thorley, Pike and Rappoport, 2014). Although the impact on describing biological processes is revolutionary, diffraction of light is a limiting factor that blurs objects smaller than 250 nm in the x and y direction, and 500 nm in the z direction. Cellular structures, including ribosomes and action fibers are smaller than this size. Overcoming diffraction barrier has been challenge for many years (Patterson et al., 2010). The new field of microscopy called super-resolution microscopy have been discovered and provided insights into biological processes by enhancing spatial resolution (Huang, Babcock and Zhuang, 2010).
Super-resolution microscopy offers a great understanding of cell function and the dynamic interactions between individual molecules. This revolutionary technique has overcome resolution limit of light microscopy which is 250 nm in the x and y direction, and >450–700 nm in the z direction (Galbraith and Galbraith, 2011). Enhancing spatial resolution by over an order of magnitude, super-resolution imaging defines biological processes on a molecular scale (Patterson et al., 2010).
Newly developed approaches such as stochastic optical reconstruction microscopy (STORM), photoactivation localization microscopy (PALM), and fluorescent photoactivation localization microscopy (FPALM) break this diffraction of light wave (Thorley, Pike and Rappoport, 2014). Photoswitchable molecules are being used for overcoming the diffraction barrier in this approach.
Other conceptual strategy uses nonlinear optical approaches to smaller the size of focal spot, therefore structural details of the object can be resolved. Examples of such strategy are stimulated emission depletion (STED) fluorescence microscopy and structured illumination microscopy (SSIM) (Patterson et al., 2010).
Super-resolution fluorescence microscopy by single-molecule switching requires PALM, FPALM, and STORM techniques, where photoactivable fluorophores are being used to determine the position of molecules with high precision (Huang, Babcock and Zhuang, 2010). These far-field imaging techniques use fluorophore and its photoconversion process to detect fluorescence. Fluorophores in PALM are imaged and activated in multiple cycles whereas in STORM, the process of imaging and activation is simultaneous (Shashkova and Leake, 2017).
Fluorescent probes can switch between a fluorescent and a dark state (Huang, Bates and Zhuang, 2009). Light is emitted at a certain wavelength in fluorescent state, however dark state does not emit the light (Huang, Babcock and Zhuang, 2010).
The main requirement of the fluorescent probes is able to be either photoactivated, photoswitched, or photoconverted by a light of a specific range of wavelength. These functions are called optical highlighting (Patterson et al., 2010).
Individual imaging, localization, and deactivation of molecules is obtained when they are activated within a diffraction limited area at different times (Huang, Bates and Zhuang, 2009).
Parallel localization is achieved through wide-field imaging where fluorophore locations reconstruct super-resolution images. STORM, PALM, and FPALM techniques use photoswitchable fluorescent dyes or proteins that are being activated by light (Huang, Bates and Zhuang, 2009).
Photoswitchable probes are used for high-precision localization of single molecules.
Accumulation of sufficient fluorophores that are switched on is necessary for super-resolution image (Shim et al., 2012).
Resolution of the image is determined by fluorescent probe density. For high resolution images, high levels of protein labels need to be expressed. However, this can cause artifacts overexpression (Shim et al., 2012).
Fluorescent probes used in PALM/FPALM are photoactivable or photoconvertible (Patterson et al., 2010), whereas STORM uses switchable organic fluorophores which are placed in specific buffers; they are combination of Cy3 and Cy5 synthetic fluorophores. They can be stochastically and reversibly switched (Godin et al., 2014). Probes have specific physical and chemical properties which are significant for single-molecule super-resolution microscopy. Number of photons detected per photoactivation affects the resolution (Huang, Bates and Zhuang, 2009). In order to determine the precise localization of molecules, probes should emit a large number of photons (Huang, Babcock and Zhuang, 2010).
Super-resolution microscopy based on single-molecule switching have expanded to 3D imaging (Laine et al., 2016).
Position of individual molecules can be determined in all three dimensions (3D). Demonstration of 3D data provides an extra information about the complex system. This approach improves the scientific understanding of biological structures (von Diezmann et al., 2017), and is one of the advantages of super-resolution microscopy (MacDonald et al., 2015).
Position of activated fluorescent probes is being determined in STORM/PALM/FPALM approach of 3D imaging. Methods of particle localization such as astigmatism method for axial localization is used (Huang, Bates and Zhuang, 2009), where insertion of cylindrical lens in the light path produces astigmatism imaging (Galbraith and Galbraith, 2011).
Image of the single molecule becomes elliptical, and the axial position is determined from ellipticity whereas the lateral position is determined from the centroid of the image (Huang, Babcock and Zhuang, 2010).
Other implementations take advantage of multiple focal planes, point spread function (PSF), and interferometric detection (von Diezmann et al., 2017). Interferometry uses two opposing objectives and provides highest axial resolution (Huang, Babcock and Zhuang, 2010).
Two-focal plane uses the emission of light. This light emission is divided and imaged to two regions of the camera, however with different path lengths. Defocused shape of the single-molecule images is captured and Z coordinates are determined (Huang, Bates and Zhuang, 2009), however increased processing time of the image and collection of data are disadvantages of this imaging (MacDonald et al., 2015).
Engineering a PSF creates geometrically detectable emission patterns. Double-helical shape of a PSF is one of the alternatives used for 3D imaging (Laine et al., 2016).
Each method has its specific advantages and disadvantages such as effects of optical aberrations or fluorophore labeling density which require consideration for further application and development (von Diezmann et al., 2017).
3D imaging resolution is around of 20 nm laterally and 50-60 nm axially (Galbraith and Galbraith, 2011), however for fixed samples results of 10 nm have been demonstrated (Shim et al., 2012). For instance, various proteins are being identified and imaged using 3D single-molecule localization microscopy and 3D STORM in fixed brain tissue (Shashkova and Leake, 2017).
Live-cell imaging approach involves reconstruction of image from single-molecule localizations that are recovered from thousands of frames. Well-separated fluorescent emitters are detected in each frame (Godin et al., 2014).
Live-cell fluorescent imaging has specific requirements such as adequate time resolution for recording of cell dynamics, and appropriate cell labeling. Fluorophore localizations is collected over many activation cycles, therefore imaging speed is relatively low (Huang, Bates and Zhuang, 2009), due to slow switching of fluorescent proteins to dark states. Brighter and faster organic dyes could improve speed of imaging (Huang, Babcock and Zhuang, 2010). For instance, cyanine dyes and caged dyes could improve optical properties and photostability for live-cell imaging of nucleic acids (Schwechheimer et al., 2018).
Focal adhesion proteins have been described in live cells using Eos fluorescent protein (EosFP). EosFP was used to label focal adhesion protein – paxillin, with effective resolution of 60-70 nm by the Nyquist criterion and time resolution of 25-60 s per frame (Huang, Bates and Zhuang, 2009). Nyquist-Shannon criterion of obtaining position for at least two emitters within each element of resolution should be considered. This sampling theorem will increase the number of well-localized molecules (Thompson et al., 2010).
Proteins in live bacteria such as C. crescentus can be studied using yellow fluorescent protein (EYFP). EYFP can be genetically encoded for protein in living cell. Desired Nyquist criterion for 40 nm was achieved using live-cell PALM technique (Biteen and Moerner, 2010)
PALM has quickly become the prime technique in super-resolution live-cell imaging due to specificity of genetically encoded, fluorescently tagged molecules in cells. Such technique allows a study of intracellular biomolecules (Godin et al., 2014).
Super-resolution microscopy has a great impact on understanding the inner life of the cell (Galbraith and Galbraith, 2011). It provides an insight into biological structure and can define these structures with nanometric localization precision (Patterson et al., 2010).
Applications of super-resolution microscopy are numerous, and different fields have benefited from this invention such as microbiology and neurobiology (Huang, Babcock and Zhuang, 2010).
There are some advantages of super-resolution approaches which use probe-based super-resolution imaging; one being individual identification of molecules at high densities. Moreover, the dynamics and distribution of subcellular structures can be analyzed (Patterson et al., 2010). However, live-cell imaging requires rapid image collection without the change in temperature. Slow imaging speed is one of the limitations in PALM/STORM techniques (MacDonald et al., 2015).
- Biteen, J. and Moerner, W. (2010). Single-Molecule and Superresolution Imaging in Live Bacteria Cells. Cold Spring Harb Perspect Biol 2010;2:a000448
- Galbraith, C. G., & Galbraith, J. A. (2011). Super-resolution microscopy at a glance. Journal of cell science, 124(Pt 10), 1607-11.
- Godin, A. G., Lounis, B., & Cognet, L. (2014). Super-resolution microscopy approaches for live cell imaging. Biophysical journal, 107(8), 1777-1784.
- Huang, B., Babcock, H. and Zhuang, X. (2010). Breaking the Diffraction Barrier: Super-Resolution Imaging of Cells. Cell, 143(7), pp.1047-1058.
- Huang, B., Bates, M., & Zhuang, X. (2009). Super-resolution fluorescence microscopy. Annual review of biochemistry, 78, 993-1016.
- Laine, R. F., Kaminski Schierle, G. S., van de Linde, S., & Kaminski, C. F. (2016). From single-molecule spectroscopy to super-resolution imaging of the neuron: a review. Methods and applications in fluorescence, 4(2), 022004. doi:10.1088/2050-6120/4/2/022004
- MacDonald, L., Baldini, G., & Storrie, B. (2015). Does super-resolution fluorescence microscopy obsolete previous microscopic approaches to protein co-localization?. Methods in molecular biology (Clifton, N.J.), 1270, 255-75.
- Patterson, G., Davidson, M., Manley, S., & Lippincott-Schwartz, J. (2010). Superresolution imaging using single-molecule localization. Annual review of physical chemistry, 61, 345-67.
- Shashkova, S. and Leake, M. (2017). Single-molecule fluorescence microscopy review: shedding new light on old problems. Bioscience Reports, 37(4), p.BSR20170031.
- Schwechheimer, C., Rönicke, F., Schepers, U. and Wagenknecht, H. (2018). A new structure–activity relationship for cyanine dyes to improve photostability and fluorescence properties for live cell imaging. Chemical Science, 9(31), pp.6557-6563.
- Shim, S. H., Xia, C., Zhong, G., Babcock, H. P., Vaughan, J. C., Huang, B., Wang, X., Xu, C., Bi, G. Q., Zhuang, X. (2012). Super-resolution fluorescence imaging of organelles in live cells with photoswitchable membrane probes. Proceedings of the National Academy of Sciences of the United States of America, 109(35), 13978-83.
- Thompson, M., Biteen, J., Lord, S., Conley, N. and Moerner, W. (2010). Molecules and Methods for Super-Resolution Imaging. Methods in Enzymology, pp.27-59.
- Thorley, J. A., Pike, J., & Rappoport, J. Z. (2014). Super-resolution Microscopy: A Comparison of Commercially Available Options. In Fluorescence Microscopy: Super-Resolution and other Novel Techniques (pp. 199-212). Elsevier Inc. https://doi.org/10.1016/B978-0-12-409513-7.00014-2
- von Diezmann, A., Shechtman, Y., & Moerner, W. E. (2017). Three-Dimensional Localization of Single Molecules for Super-Resolution Imaging and Single-Particle Tracking. Chemical reviews, 117(11), 7244-7275.