Refine
Has Fulltext
- yes (20)
Is part of the Bibliography
- yes (20)
Year of publication
Document Type
- Doctoral Thesis (20)
Language
- English (20) (remove)
Keywords
- Fluoreszenzmikroskopie (20) (remove)
Institute
- Graduate School of Life Sciences (11)
- Theodor-Boveri-Institut für Biowissenschaften (7)
- Rudolf-Virchow-Zentrum (4)
- Fakultät für Biologie (1)
- Institut für Pharmakologie und Toxikologie (1)
- Institut für Pharmazie und Lebensmittelchemie (1)
- Institut für Physikalische und Theoretische Chemie (1)
- Medizinische Fakultät (1)
- Medizinische Klinik und Poliklinik II (1)
- Physiologisches Institut (1)
Sonstige beteiligte Institutionen
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.
The resolution of fluorescence light microscopy was long believed to be limited by the diffraction limit of light of around 200-250 nm described in 1873 by Ernst Abbe. Within the last decade, several approaches, such as structured illumination microscopy (SIM), stimulated emission depletion STED and (direct) stochastic optical reconstruction microscopy (d)STORM have been established to bypass the diffraction limit. However, such super-resolution techniques enabling a resolution <100 nm require specialized and expensive setups as well as expert knowledge in order to avoid artifacts. They are therefore limited to specialized laboratories. Recently, Boyden and colleagues introduced an alternate approach, termed expansion microscopy (ExM). The latter offers the possibility to perform superresolution microscopy on conventional confocal microscopes by embedding the sample into a swellable hydrogel that is isotropically expanded. Since its introduction in 2015, expansion microscopy has developed rapidly offering protocols for 4x, 10x and 20x expansion of proteins and RNA in cells, tissues and human clinical specimens.
Mitochondria are double membrane-bound organelles and crucial to the cell by performing numerous tasks, from ATP production through oxidative phosphorylation, production of many important metabolites, cell signaling to the regulation of apoptosis. The inner mitochondrial membrane is strongly folded forming so-called cristae. Besides being the location of the oxidative phosphorylation and therefore energy conversion and ATP production, cristae have been of great interest because changes in morphology have been linked to a plethora of diseases from cancer, diabetes, neurodegenerative diseases, to aging and infection. However, cristae imaging remains challenging as the distance between two individual cristae is often below 100 nm. Within this work, we demonstrate that the mitochondrial creatine kinase MtCK linked to fluorescent protein GFP (MtCK-GFP) can be used as a cristae marker. Upon fourfold expansion, we illustrate that our novel marker enables visualization of cristae morphology and localization of mitochondrial proteins relative to cristae without the need for specialized setups. Furthermore, we show the applicability of expansion microscopy for several bacterial pathogens, such as Chlamydia trachomatis, Simkania negevensis, Neisseria gonorrhoeae and Staphylococcus aureus. Due to differences in bacterial cell walls, we reveal important aspects for the digestion of pathogens for isotropic expansion. We further show that expansion of the intracellular pathogens C. trachomatis and S. negevensis, enables the differentiation between the two distinct developmental forms, catabolic active reticulate bodies (RB) and infectious elementary bodies (EB), on a conventional confocal microscope. We demonstrate the possibility to precisely locate chlamydial effector proteins, such as CPAF or Cdu1, within and outside the chlamydial inclusion. Moreover, we show that expansion microscopy enables the investigation of bacteria, herein S. aureus, within LAMP1 and LC3-II vesicles. With the introduction of the unnatural α-NH2-ω-N3-C6-ceramide, we further present the first approach for the expansion of lipids that may also be suitable for far inaccessible molecule classes like carbohydrates. The efficient accumulation and high labeling density of our functionalized α-NH2-ω-N3-C6-ceramide in both cells and bacteria enables in combination with tenfold expansion nanoscale resolution (10-20 nm) of the interaction of proteins with the plasma membrane, membrane of organelles and bacteria. Ceramide is the central molecule of the sphingolipid metabolism, an important constituent of cellular membranes and regulates many important cellular processes such as differentiation, proliferation and apoptosis. Many studies report about the importance of sphingolipids during infection of various pathogens. While the transport of ceramide to Chlamydia has been reported earlier, one of the unanswered questions remaining was if ceramide forms parts of the outer or inner bacterial membrane. Expansion of α-NH2-ω-N3-C6-ceramide enabled the visualization of ceramide in the inner and outer membrane of C. trachomatis and their distance was determined to be 27.6 ± 7.7 nm.
The plasma membrane is one of the most thoroughly studied and at the same time most complex, diverse, and least understood cellular structures. Its function is determined by the molecular composition as well as the spatial arrangement of its components. Even after decades of extensive membrane research and the proposal of dozens of models and theories, the structural organization of plasma membranes remains largely unknown. Modern imaging tools such as super-resolution fluorescence microscopy are one of the most efficient techniques in life sciences and are widely used to study the spatial arrangement and quantitative behavior of biomolecules in fixed and living cells. In this work, direct stochastic optical reconstruction microscopy (dSTORM) was used to investigate the structural distribution of mem-brane components with virtually molecular resolution. Key issues are different preparation and staining strategies for membrane imaging as well as localization-based quantitative analyses of membrane molecules.
An essential precondition for the spatial and quantitative analysis of membrane components is the prevention of photoswitching artifacts in reconstructed localization microscopy images. Therefore, the impact of irradiation intensity, label density and photoswitching behavior on the distribution of plasma membrane and mitochondrial membrane proteins in dSTORM images was investigated. It is demonstrated that the combination of densely labeled plasma membranes and inappropriate photoswitching rates induces artificial membrane clusters. Moreover, inhomogeneous localization distributions induced by projections of three-dimensional membrane structures such as microvilli and vesicles are prone to generate artifacts in images of biological membranes. Alternative imaging techniques and ways to prevent artifacts in single-molecule localization microscopy are presented and extensively discussed.
Another central topic addresses the spatial organization of glycosylated components covering the cell membrane. It is shown that a bioorthogonal chemical reporter system consisting of modified monosaccharide precursors and organic fluorophores can be used for specific labeling of membrane-associated glycoproteins and –lipids. The distribution of glycans was visualized by dSTORM showing a homogeneous molecule distribution on different mammalian cell lines without the presence of clusters. An absolute number of around five million glycans per cell was estimated and the results show that the combination of metabolic labeling, click chemistry, and single-molecule localization microscopy can be efficiently used to study cell surface glycoconjugates.
In a third project, dSTORM was performed to investigate low-expressing receptors on cancer cells which can act as targets in personalized immunotherapy. Primary multiple myeloma cells derived from the bone marrow of several patients were analyzed for CD19 expression as potential target for chimeric antigen receptor (CAR)-modified T cells. Depending on the patient, 60–1,600 CD19 molecules per cell were quantified and functional in vitro tests demonstrate that the threshold for CD19 CAR T recognition is below 100 CD19 molecules per target cell. Results are compared with flow cytometry data, and the important roles of efficient labeling and appropriate control experiments are discussed.
This decade saw the development of new high-end light microscopy approaches. These technologies are increasingly used to expand our understanding of cellular function and the molecular mechanisms of life and disease. The precision of state-of-the-art super resolution microscopy is limited by the properties of the applied fluorescent label. Here I describe the synthesis and evaluation of new functional fluorescent probes that specifically stain gephyrin, universal marker of the neuronal inhibitory post-synapse. Selected probe precursor peptides were synthesised using solid phase peptide synthesis and conjugated with selected super resolution capable fluorescent dyes. Identity and purity were defined using chromatography and mass spectrometric methods. To probe the target specificity of the resulting probe variants in cellular context, a high-throughput assay was established. The established semi-automated and parallel workflow was used for the evaluation of three selected probes by defining their co-localization with the expressed fluorescent target protein. My work provided NN1Dc and established the probe as a visualisation tool for essentially background-free visualisation of the synaptic marker protein gephyrin in a cellular context. Furthermore, NN1DA became part of a toolbox for studying the inhibitory synapse ultrastructure and brain connectivity and turned out useful for the development of a label-free, high-throughput protein interaction quantification assay.
This thesis includes measurements that were recorded by cooperation partners. The EPR spec‐ trosa mentioned in section 5.2 were recorded by Michael Auth from the Dyakonov Group (Ex‐ perimental Physics VI, Julius‐Maximilians‐Universität, Würzburg). The TREFISH experiments and transient absorption in section 5.4 spectra were performed by Jašinskas et al. from the V. Gulbi‐ nas group (Center for Physical Sciences and Technology, Vilnius, Lithuania). This dissertation investigated the interactions of semiconducting single‐walled carbon nanotubes (SWNTs) of (6,5) chirality with their environment. Shear‐mixing provided high‐quality SWNT sus‐ pensions, which was complemented by various film preparation techniques. These techniques were in turn used to prepare heterostructures with MoS2 and hBN, which were examined with a newly constructed photoluminescence microscope specifically for this purpose. Finally, the change of spectral properties of SWNTs upon doping was investigated in more detail, as well as the behaviour of charge carriers in the tubes themselves. To optimise the SWNT sample preparation techniques that supplied the other experiments, the sample quality of shear‐mixed preparations was compared with that of sonicated samples. It was found that the quantum efficiency of sheared suspensions exceeds that of sonicated suspensions as soon as the sonication time exceeds 30 min. The higher PLQY is due to the lower defect concentration in shear‐mixed samples. Via transient absorption, a mean lifetime of 17.3 ps and a mean distance between defects of 192.1 nm could be determined. Furthermore, it was found that the increased efficiency of horn sonication is probably not only due to higher shear forces acting on the SWNT bundles but also that the shortening of PFO‐BPy strands plays a significant role. Sonication of very long polymer strands significantly increased their effectiveness in shear mixing. While previous approaches could only achieve very low concentrations of SWNTs in suspensions, pre‐sonicated polymer yielded results which were comparable with much shorter PFO‐BPy batches. Reference experiments also showed that different aggregation processes are relevant during production and further processing. Initial reprocessing of carbon nanotube raw material requires 7 h sonication time and over 24 h shear mixing before no increase in carbon nano concentration is detectable. However, only a few minutes of sonication or shear mixing are required when reprocessing the residue produced during the separation of the slurry. This discrepancy indicates that different aggregates are present, with markedly different aggregation properties. To study low‐dimensional heterostructures, a PL microscope was set up with the ability to ob‐ serve single SWNTs as well as monolayers of other low‐dimensional systems. Furthermore, sam‐ ples were prepared which bring single SWNTs into contact with 2D materials such as h‐BN andMoS2 layers and the changes in the photoluminescence spectrum were documented. For h‐BN, it was observed whether previous methods for depositing SWNTs could be transferred for photo‐ luminescence spectroscopy. SWNTs were successfully deposited on monolayers via a modified drip coating, with the limitation that SWNTs aggregate more at the edges of the monolayers. Upon contact of SWNTs with MoS2, significant changes in the emission properties of the mono‐ layers were observed. The fluorescence, which was mainly dominated by excitons, was shifted towards trion emission. Reference experiments excluded PFO‐BPy and toluene as potential causes. Based on the change in the emission behaviour of MoS2, the most plausible explanation is a photoinduced charge transfer leading to delocalised charge carriers on MoS2. In contrast, on SWNTs, the introduction of additional charges would constitute a quenching centre, which would quench their PL emission, making them undetectable in the PL image. In the last chapter, the electronic properties of doped SWNTs and the behaviour of charge carri‐ ers inside the tubes should be investigated. First, the change in the conductivity of SWNT films with increasing doping levels was docu‐ mented. The resistance of the films drops drastically at minimum doping. After the initial in‐ troduction of charges, the resistance drops with increasing dopant concentration according to a double logarithmic curve. The initial drop could be due to a reduction of contact resistances within the SWNT network film, but this could not be further investigated within the scope of this PhD thesis. In cooperation with Andreas Sperlich and Michael Auth, the spin concentration of SWNTs at different doping levels was determined. The obtained concentrations were compared with the carrier concentrations determined from PL and absorption spectra. At low spin densities, good agreement with previous models was found. Furthermore, the presence of isolated spins strongly suggests a localised charge carrier distribution at temperatures around 10 K. When the charge density is increased, the spin density deviates significantly from the charge carrier con‐ centration. This discrepancy is attributed to the increasing delocalisation of charge carriers at high charge densities and the interactions of neighbouring spins. These results strongly indicate the existence of localised charge carriers in SWNTs at low temperatures. Next, the effect of doping on the Raman spectra of SWNT suspensions was investigated. In gen‐ eral, doping is expected to reduce the intensity of the Raman bands, i.e. a consequence of the reduced resonance gain due to bleaching of the S2 transition. However, similar to the resistivity measurements, the oscillator strength of the G+ band drops sharply in the first doping steps. It was also found that the G+ band decreases more than would be expected due to loss of reso‐ nance condition. Furthermore, the G‐ is bleached faster than the G+ band. All these anomalies suggest that resonance enhancement is not the only relevant effect. Another much faster deac‐ tivation path for the excitons may be introduced by doping. This would leave less time for the scattering process to occur and reduce the oscillator strength of the Raman bands. In cooperation with Vidmantas et al., the photoinduced charge carrier behaviour of SWNT/PCBM films was investigated. The required films were prepared by drop coating. The SWNT suspen‐ sions required for this were obtained from sheared SWNT preparations. Using transient absorp‐ tion and TREFISH, a number of charge transfer effects were identified and their dynamics in‐ vestigated: the recombination of neutral excitons (< 50 ps), the electron transfer from carbon nanotubes to PCBM molecules (< 1 ps), the decay of charge‐transfer excitons (∼200 ps), the recombination of charge carriers between charge‐transfer excitons (1 ns to 4 ns) and finally the propagation through the SWNT network (∼20 ns)
The thesis provides insights in reconstruction and analysis pipelines for processing of
three-dimensional cell and vessel images of megakaryopoiesis in intact murine bone.
The images were captured in a Light Sheet Fluorescence Microscope. The work
presented here is part of Collaborative Research Centre (CRC) 688 (project B07) of
the University of Würzburg, performed at the Rudolf-Virchow Center. Despite ongoing
research within the field of megakaryopoiesis, its spatio-temporal pattern of
megakaryopoiesis is largely unknown. Deeper insight to this field is highly desirable to
promote development of new therapeutic strategies for conditions related to
thrombocytopathy as well as thrombocytopenia. The current concept of
megakaryopoiesis is largely based on data from cryosectioning or in vitro studies
indicating the existence of spatial niches within the bone marrow where specific stages
of megakaryopoiesis take place. Since classic imaging of bone sections is typically
limited to selective two-dimensional views and prone to cutting artefacts, imaging of
intact murine bone is highly desired. However, this has its own challenges to meet,
particularly in image reconstruction. Here, I worked on processing pipelines to account
for irregular specimen staining or attenuation as well as the extreme heterogeneity of
megakaryocyte morphology. Specific challenges for imaging and image reconstruction
are tackled and solution strategies as well as remaining limitations are presented and
discussed. Fortunately, modern image processing and segmentation strongly benefits
from continuous advances in hardware as well as software-development. This thesis
exemplifies how a combined effort in biomedicine, computer vision, data processing
and image technology leads to deeper understanding of megakaryopoiesis. Tailored
imaging pipelines significantly helped elucidating that the large megakaryocytes are
broadly distributed throughout the bone marrow facing a surprisingly dense vessel
network. No evidence was found for spatial niches in the bone marrow, eventually
resulting in a revised model of megakaryopoiesis.
Fluorescence microscopy has become one of the most important techniques for the imaging of biological cells and tissue, since the technique allows for selective labeling with fluorescent molecules and is highly suitable for low-light applications down to the single molecule regime. The methodological requirements are well-defined for studying membrane receptors within a highly localized nanometer-thin membrane. For example, G-protein-coupled receptors (GPCRs) are an extensively studied class of membrane receptors that represent one of the most important pharmaceutical targets. Ligand binding and GPCR activation dynamics are suspected to take place at the millisecond scale and may even be far faster. Thus, techniques that are fast, selective, and live-cell compatible are required to monitor GPCR dynamics. Fluorescence resonance energy transfer (FRET) and total internal reflection fluorescence microscopy (TIRF-M) are methods of choice to monitor the dynamics of GPCRs selectively within the cell membrane.
Despite the remarkable success of these modalities, there are limitations. Most importantly, inhomogeneous illumination can induce imaging artifacts, rendering spectroscopic evaluation difficult. Background signal due to scattering processes or imperfect labeling can hamper the signal-to-noise, thus limiting image contrast and acquisition speed. Careful consideration of the internal physiology is required for FRET sensor design, so that ligand binding and cell compatibility are well-preserved despite the fluorescence labeling procedures. This limitation of labeling positions leads to very low signal changes in FRET-based GPCR analysis. In addition, microscopy of these systems becomes even more challenging in single molecule or low-light applications where the accuracy and temporal resolution may become dramatically low. Fluorescent labels should therefore be brighter, protected from photobleaching, and as small as possible to avoid interference with the binding kinetics. The development of new fluorescent molecules and labeling methods is an ongoing process. However, a complete characterization of new labels and sensors takes time. So far, the perfect dye system for GPCR studies has not been found, even though there is high demand.
Thus, this thesis explores and applies a different approach based on improved illumination schemes for TIRF-M as well as metal-coated coverslips to enhance fluorescence and FRET efficiency. First, it is demonstrated that a 360° illumination scheme reduces typical TIRF artifacts and produces a much more homogenously illuminated field of view. Second, membrane imaging and FRET spectroscopy are improved by metal coatings that are used to modulate the fluorescent properties of common fluorescent dyes. Computer simulation methods are used to understand the underlying photophysics and to design the coatings. Third, this thesis explores the operational regime and limitations of plasmonic approaches with high sectioning capabilities. The findings are summarized by three publications that are presented in the results section of this work. In addition, the theory of fluorescence and FRET is explained, with particular attention to its emission modulations in the vicinity of metal-dielectric layers. Details of the instrumentation, computer simulations, and cell culture are described in the method section. The work concludes with a discussion of the findings within the framework of recent technological developments as well as perspectives and suggestions for future approaches complete the presented work.
The mold Aspergillus fumigatus (A. fumigatus) is known as human pathogen and can cause life-threatening infections in humans with a weakened immune system. This is a known complication in patients receiving glucocorticoids, e.g. after hematopoietic stem cell transplantation or solid organ transplantation. Although research in the field of immune cell/fungus interaction has discovered key strategies how immune cells fight against infectious fungi, our knowledge is still incomplete. In order to develop effective treatment options against fungal infections, a detailed understanding of their interactions is crucial. Thus, visualization of immune cell and fungus is an excellent approach to gain further knowledge. For a detailed view of such interaction processes, a high optical resolution on nanometer scale is required. There is a variety of super resolution microscopy techniques, enabling fluorescence imaging beyond the diffraction limit. This work combines the use of three complementary super resolution microscopy techniques, in order to study immune cell/fungus interaction from different points of view.
Aim of this work is the introduction of the recently invented imaging technique named expansion microscopy (ExM) for the study of immune cell/fungus interactions. The core aspect of this method is the physical magnification of the specimen, which increases the distance between protein structures that are close to each other and which can therefore be imaged separately.
The simultaneous magnification of primary human natural killer (NK) cells and A. fumigatus hyphae was established in this work using ExM. Reorganization of cytoskeletal components of interacting NK cells was demonstrated here, by expansion of the immunological synapse (IS), formed between NK cells and A. fumigatus. In addition, reorganization of the microtubule-organizing center (MTOC) towards fungal hyphae and an accumulation of actin at the IS has been observed. Furthermore, ExM has been used to visualize lytic granules of NK cells after degranulation. After magnification of the specimen, lysosome associated protein 1 (LAMP1) was shown to surround perforin. In absence of the plasma membrane-exposed degranulation marker LAMP1, a “ring-shaped” structure was often observed for fluorescently labeled perforin. Volume calculation of lytic granules demonstrated the benefit of ExM. Compared to pre-expansion images, analyses of post-expansion images showed two volume distributions for degranulated and non-degranulated NK cells. In addition, this work emphasizes the importance of determining the expansion factor for a structure in each species, as variations of expansion factors have been observed. This factor, as well as possible sample distortions should be considered, when ExM is used in order to analyze the interaction between two species.
A second focus of this work is the visualization of a chimeric antigen receptor (CAR), targeting an epitope on the cell wall of A. fumigatus. Structured illumination microscopy (SIM) revealed that the CAR is part of the immunological synapse of primary human CAR T cells and CAR-NK-92 cells. At the interaction site, an accumulation of the CAR was observed, as well as the presence of perforin. CAR accumulation at fungal hyphae was further demonstrated by automated live cell imaging of interacting CAR-NK-92 cells, expressing a fluorescent fusion protein.
Additionally, the use of direct stochastic optical reconstruction microscopy (dSTORM) gave first insights in CAR expression levels on the basal membrane of CAR-NK-92 cells, with single molecule sensitivity. CAR cluster analyses displayed a heterogeneous CAR density on the basal membrane of transfected NK 92 cells.
In summary, this work provides insights into the application of ExM for studying the interaction of primary human NK cells and A. fumigatus for the first time. Furthermore, this thesis presents first insights regarding the characterization of an A. fumigatus-targeting CAR, by applying super-resolution fluorescence microscopy, like SIM and dSTORM.
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.
Fluorescence microscopy is a form of light microscopy that has developed during the 20th century and is nowadays a standard tool in Molecular and Cell biology for studying the structure and function of biological molecules. High-resolution fluorescence microscopy techniques, such as dSTORM (direct Stochastic Optical Reconstruction Microscopy) allow the visualization of cellular structures at the nanometre scale (10−9 m). This has already made it possible to decipher the composition and function of various biopolymers, such as proteins, lipids and nucleic acids, up to the three-dimensional (3D) structure of entire organelles. In practice, however, it has been shown that these imaging methods and their further developments still face great challenges in order to achieve an effective resolution below ∼ 10 nm. This is mainly due to the nature of labelling biomolecules. For the detection of molecular structures, immunostaining is often performed as a standard method. Antibodies to which fluorescent molecules are coupled, recognize and bind specifcally and with high affnity to the molecular section of the target structure, also called epitope or antigen. The fluorescent molecules serve as reporter molecules which are imaged with the use of a fluorescence microscope. However, the size of these labels with a length of about 10-15 nm in the case of immunoglobulin G (IgG) antibodies, cause a detection of the fluorescent molecules shifted to the real position of the studied antigen. In dense regions where epitopes are located close to each other, steric hindrance between antibodies can also occur and leads to an insuffcient label density. Together with the shifted detection of fluorescent molecules, these factors can limit the achievable resolution of a microscopy technique. Expansion microscopy (ExM) is a recently developed technique that achieves a resolution improvement by physical expansion of an investigated object. Therefore, biological samples such as cultured cells, tissue sections, whole organs or isolated organelles are chemically anchored into a swellable polymer. By absorbing water, this so-called superabsorber increases its own volume and pulls the covalently bound biomolecules isotropically apart. Routinely, this method achieves a magnifcation of the sample by about four times its volume. But protocol variants have already been developed that result in higher expansion factors of up to 50-fold. Since the ExM technique includes in the frst instance only the sample treatment for anchoring and magnifcation of the sample, it can be combined with various standard methods of fluorescence microscopy. In theory, the resolution of the used imaging technique improves linearly with the expansion factor of the ExM treated sample. However, an insuffcient label density and the size of the antibodies can here again impair the effective achievable resolution. The combination of ExM with high-resolution fluorescence microscopy methods represents a promising strategy to increase the resolution of light microscopy. In this thesis, I will present several ExM variants I developed which show the combination of ExM with confocal microscopy, SIM (Structured Illumination Microscopy), STED (STimulated Emission Depletion) and dSTORM. I optimized existing ExM protocols and developed different expansion strategies, which allow the combination with the respective imaging technique. Thereby, I gained new structural insights of isolated centrioles from the green algae Chlamydomonas reinhardtii by combining ExM with STED and confocal microscopy. In another project, I combined 3D-SIM imaging with ExM and investigated the molecular structure of the so-called synaptonemal complex. This structure is formed during meiosis in eukaryotic cells and contributes to the exchange of genetic material between homologous chromosomes. Especially in combination with dSTORM, the ExM method showed its high potential to overcome the limitations of modern fluorescence microscopy techniques. In this project, I expanded microtubules in mammalian cells, a polymer of the cytoskeleton as well as isolated centrioles from C. reinhardtii. By labelling after expansion of the samples, I was able to signifcantly reduce the linkage error of the label and achieve an improved label density. In future, these advantages together with the single molecule sensitivity and high resolution obtained by the dSTORM method could pave the way for achieving molecular resolution in fluorescence microscopy