87.80.Nj Single-molecule techniques (see also 82.37.Rs Single molecule manipulation of proteins and other biological molecules in physical chemistry)
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Sharpening super-resolution by single molecule localization microscopy in front of a tuned mirror
(2020)
The „Resolution Revolution" in fluorescence microscopy over the last decade has given rise to a variety of techniques that allow imaging beyond the diffraction limit with a resolution power down into the nanometer range. With this, the field of so-called super-resolution microscopy was born. It allows to visualize cellular architecture at a molecular level and thereby achieve a resolution level that had been previously only accessible by electron microscopy approaches.
One of these promising techniques is single molecule localization microscopy (SMLM) in its most varied forms such as direct stochastic optical reconstruction microscopy (dSTORM) which are based on the temporal separation of the emission of individual fluorophores. Localization analysis of the subsequently taken images of single emitters eventually allows to reconstruct an image containing super-resolution information down to typically 20 nm in a cellular setting. The key point here is the localization precision, which mainly depends on the image contrast generated the by the individual fluorophore’s emission. Thus, measures to enhance the signal intensity or reduce the signal background allow to increase the image resolution achieved by dSTORM. In my thesis, this is achieved by simply adding a reflective metal-dielectric nano-coating to the microscopy coverslip that serves as a tunable nano-mirror.
I have demonstrated that such metal-dielectric coatings provide higher photon yield at lower background and thus substantially improve SMLM performance by a significantly increased localization precision, and thus ultimately higher image resolution. The strength of this approach is that ─ except for the coated cover glass ─ no specialized setup is required. The biocompatible metal-dielectric nano-coatings are fabricated directly on microscopy coverslips and have a simple three-ply design permitting straightforward implementation into a conventional fluorescence microscope. The introduced improved lateral resolution with such mirror-enhanced STORM (meSTORM) not only allows to exceed Widefield and Total Internal Reflection Fluorescence (TIRF) dSTORM performance, but also offers the possibility to measure in a simplified setup as it does not require a special TIRF objective lens.
The resolution improvement achieved with meSTORM is both spectrally and spatially tunable and thus allows for dual-color approaches on the one hand, and selectively highlighting region above the cover glass on the other hand, as demonstrated here.
Beyond lateral resolution enhancement, the clear-cut profile of the highlighted region provides additional access to the axial dimension. As shown in my thesis, this allows for example to assess the three-dimensional architecture of the intracellular microtubule network by translating the local localization uncertainty to a relative axial position. Even beyond meSTORM, a wide range of membrane or surface imaging applications may benefit from the selective highlighting and fluorescence enhancing provided by the metal-dielectric nano-coatings. This includes for example, among others, live-cell Fluorescence Correlation Spectroscopy and Fluorescence Resonance Energy Transfer studies as recently demonstrated.
Localization microscopy is a class of super-resolution fluorescence microscopy techniques. Localization microscopy methods are characterized by stochastic temporal isolation of fluorophore emission, i.e., making the fluorophores blink so rapidly that no two are
likely to be photoactive at the same time close to each other. Well-known localization microscopy methods include dSTORM}, STORM, PALM, FPALM, or GSDIM. The biological community has taken great interest in localization microscopy, since it can enhance the resolution of common fluorescence microscopy by an order of magnitude at little experimental cost.
However, localization microscopy has considerable computational cost since millions of individual stochastic emissions must be located with nanometer precision. The computational cost of this evaluation, and the organizational cost of implementing the complex algorithms, has impeded adoption of super-resolution microscopy for a long time.
In this work, I describe my algorithmic framework for evaluating localization microscopy data.
I demonstrate how my novel open-source software achieves real-time data evaluation, i.e., can evaluate data faster than the common experimental setups can capture them.
I show how this speed is attained on standard consumer-grade CPUs, removing the need for computing on expensive clusters or deploying graphics processing units.
The evaluation is performed with the widely accepted Gaussian PSF model and a Poissonian maximum-likelihood noise model.
I extend the computational model to show how robust, optimal two-color evaluation is realized, allowing correlative microscopy between multiple proteins or structures. By employing cubic B-splines, I show how the evaluation of three-dimensional samples can be made simple and robust, taking an important step towards precise imaging of micrometer-thick samples.
I uncover the behavior and limits of localization algorithms in the face of increasing emission densities.
Finally, I show up algorithms to extend localization microscopy to common biological problems.
I investigate cellular movement and motility by considering the in vitro movement of myosin-actin filaments. I show how SNAP-tag fusion proteins enable imaging with bright and stable organic fluorophores in live cells. By analyzing the internal structure of protein clusters, I show how localization microscopy can provide new quantitative approaches beyond pure imaging.