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Single molecule localization microscopy has seen a remarkable growth since its first
experimental implementations about a decade ago. Despite its technical challenges,
it is already widely used in medicine and biology and is valued as a unique tool
to gain molecular information with high specificity. However, common illumination techniques do not allow the use of single molecule sensitive super-resolution
microscopy techniques such as direct stochastic optical reconstruction microscopy
(dSTORM) for whole cell imaging. In addition, they can potentially alter the
quantitative information.
In this thesis, I combine dSTORM imaging in three dimensions with lattice lightsheet illumination to gain quantitative molecular information from cells unperturbed by the illumination and cover slip effects. Lattice light-sheet illumination
uses optical lattices for beam shaping to restrict the illumination to the detectable
volume. I describe the theoretical background needed for both techniques and detail
the experimental realization of the system as well as the software that I developed
to efficiently evaluate the data.
Eventually, I will present key datasets that demonstrate the capabilities of the
developed microscope system with and without dSTORM. My main goal here was
to use these techniques for imaging the neural cell adhesion molecule (NCAM, also
known as CD56) in whole cells. NCAM is a plasma membrane receptor known to
play a key role in biological processes such as memory and learning. Combining
dSTORM and lattice light-sheet illumination enables the collection of quantitative
data of the distribution of molecules across the whole plasma membrane, and shows
an accumulation of NCAM at cell-cell interfaces. The low phototoxicity of lattice
light-sheet illumination further allows for tracking individual NCAM dimers in living cells, showing a significant dependence of its mobility on the actin skeleton of
the cell.
Since its first experimental implementation in 2005, single-molecule localization microscopy (SMLM) emerged as a versatile and powerful imaging tool for biological structures with nanometer resolution. By now, SMLM has compiled an extensive track-record of novel insights in sub- and inter- cellular organization.\\
Moreover, since all SMLM techniques rely on the analysis of emission patterns from isolated fluorophores, they inherently allocate molecular information $per$ $definitionem$.\\
Consequently, SMLM transitioned from its origin as pure high-resolution imaging instrument towards quantitative microscopy, where the key information medium is no longer the highly resolved image itself, but the raw localization data set.\\
The work presented in this thesis is part of the ongoing effort to translate those $per$ $se$ molecular information gained by SMLM imaging to insights into the structural organization of the targeted protein or even beyond. Although largely consistent in their objectives, the general distinction between global or segmentation clustering approaches on one side and particle averaging or meta-analyses techniques on the other is usually made.\\
During the course of my thesis, I designed, implemented and employed numerous quantitative approaches with varying degrees of complexity and fields of application.\\ \\
In my first major project, I analyzed the localization distribution of the integral protein gp210 of the nuclear pore complex (NPC) with an iterative \textit{k}-means algorithm. Relating the distinct localization statistics of separated gp210 domains to isolated fluorescent signals led, among others, to the conclusion that the anchoring ring of the NPC consists of 8 homo-dimers of gp210.\\
This is of particular significance, both because it answered a decades long standing question about the nature of the gp210 ring and it showcased the possibility to gain structural information well beyond the resolution capabilities of SMLM by crafty quantification approaches.\\ \\
The second major project reported comprises an extensive study of the synaptonemal complex (SNC) and linked cohesin complexes. Here, I employed a multi-level meta-analysis of the localization sets of various SNC proteins to facilitate the compilation of a novel model of the molecular organization of the major SNC components with so far unmatched extend and detail with isotropic three-dimensional resolution.\\
In a second venture, the two murine cohesin components SMC3 and STAG3 connected to the SNC were analyzed. Applying an adapted algorithm, considering the disperse nature of cohesins, led to the realization that there is an apparent polarization of those cohesin complexes in the SNC, as well as a possible sub-structure of STAG3 beyond the resolution capabilities of SMLM.\\ \\
Other minor projects connected to localization quantification included the study of plasma membrane glycans regarding their overall localization distribution and particular homogeneity as well as the investigation of two flotillin proteins in the membrane of bacteria, forming clusters of distinct shapes and sizes.\\ \\
Finally, a novel approach to three-dimensional SMLM is presented, employing the precise quantification of single molecule emitter intensities. This method, named TRABI, relies on the principles of aperture photometry which were improved for SMLM.\\
With TRABI it was shown, that widely used Gaussian fitting based localization software underestimates photon counts significantly. This mismatch was utilized as a $z$-dependent parameter, enabling the conversion of 2D SMLM data to a virtual 3D space. Furthermore it was demonstrated, that TRABI can be combined beneficially with a multi-plane detection scheme, resulting in superior performance regarding axial localization precision and resolution.\\
Additionally, TRABI has been subsequently employed to photometrically characterize a novel dye for SMLM, revealing superior photo-physical properties at the single-molecule level.\\
Following the conclusion of this thesis, the TRABI method and its applications remains subject of diverse ongoing research.
One rarely finds practical guidelines for the implementation of complex optical setups. Here, we aim to provide technical details on the decision making of building and revising a custom sensor-based adaptive optics (AO) direct stochastic optical reconstruction microscope (dSTORM) to provide practical assistance in setting up or troubleshooting similar devices.
The foundation of this report is an instrument constructed as part of a master's thesis in 2021, which was built for deep tissue imaging. The setup is presented in the following way: (1) An optical and mechanical overview of the system at the beginning of this internship is given. (2) The optical components are described in detail in the order at which the light passes through, highlighting their working principle and implementation in the system. The optical component include (2A) a focus on even sample illumination, (2B) restoring telecentricity when working with commercial microscope bodies, (2C) the AO elements, namely the deformable mirror (DM) and the wavefront sensor, and their integration, and (2D) the separation of wavefront and image capture using fluorescent beads and a dichroic mirror. After addressing the limitations of the existing setup, modification options are derived. The modifications include the implementation of adjustment only light paths to improve system stability and revise the degrees of freedom of the components and changes in lens choices to meet the specifications of the AO components. Last, the capabilities of the modified setup are presented and discussed: (1) First, we enable epifluorescence imaging of bead samples through 180 µm unstained murine hippocampal tissue with wavefront error correction of ~ 90 %. Point spread function, wavefront shape and Zernike decomposition of bead samples are presented. (2) Second, we move from epifluorescent to dSTORM imaging of tubulin stained primary mouse hippocampal cells, which are imaged through up to 180 µm of unstained murine hippocampal tissue. We show that full width at half maximum (FWHM) of prominent features can be reduced in size by nearly a magnitude from uncorrected epiflourescence images to dSTORM images corrected by the adaptive optics. We present dSTORM localization count and FWHM of prominent features as as a function of imaging depth.
Cellular responses to outer stimuli are the basis for all biological processes. Signal integration is achieved by protein cascades, recognizing and processing molecules from the environment. Factors released by pathogens or inflammation usually induce an inflammatory response, a signal often transduced by Tumour Necrosis Factor alpha (TNF). TNFα receptors TNF-R1 and TNF-R2 can in turn lead to apoptosis or proliferation via NF-B. These processes are closely regulated by membrane compartimentalization, protein interactions and trafficking. Fluorescence microscopy offers a reliable and non-invasive method to probe these cellular events. However, some processes on a native membrane are not resolvable, as they are well below the diffraction limit of microscopy. The recent development of super-resolution fluorescence microscopy methods enables the observation of these cellular players well below this limit: by localizing, tracking and counting molecules with high spatial and temporal resolution, these new fluorescence microscopy methods offer a previously unknown insight into protein interactions at the near-molecular level. Direct stochastic optical reconstruction microscopy (dSTORM) utilizes the reversible, stochastic blinking events of small commercially available fluorescent dyes, while photoactivated localization microscopy (PALM) utilizes phototransformation of genetically encoded fluorescent proteins. By photoactivating only a small fraction of the present fluorophores in each observation interval, single emitters can be localized with high precision and a super-resolved image can be reconstructed. Quantum Dot Triexciton imaging (QDTI) utilizes the three-photon absorption (triexcitonic) properties of quantum dots (QD) and to achieve a twofold resolution increase using conventional confocal microscopes. In this thesis, experimental approaches were implemented to achieve super-resolution microscopy in fixed and live-cells to study the spatial and temporal dynamics of TNF and other cellular signaling events. We introduce QDTI to study the three-dimensional cellular distribution of biological targets, offering an easy method to achieve resolution enhancement in combination with optical sectioning, allowing the preliminary quantification of labeled proteins. As QDs are electron dense, QDTI can be used for correlative fluorescence and transmission electron microscopy, proving the versatility of QD probes. Utilizing the phototransformation properties of fluorescent proteins, single-receptor tracking on live cells was achieved, applying the concept of single particle tracking PALM (sptPALM) to track the dynamics of a TNF-R1-tdEos chimera on the membrane. Lateral receptor dynamics can be tracked with high precision and the influences of ligand addition or lipid disruption on TNF-R1 mobility was observed. The results reveal complex receptor dynamics, implying internalization processes in response to TNFα stimulation and a role for membrane domains with reduced fluidity, so-called lipid raft domains, in TNF-R1 compartimentalization prior or post ligand induction. Comparisons with previously published FCS data show a good accordance, but stressing the increased data depth available in sptPALM experiments. Additionally, the active transport of NF-κB-tdEos fusions was observed in live neurons under chemical stimulation and/or inhibition. Contrary to phototransformable proteins that need no special buffers to exhibit photoconversion or photoactivation, dSTORM has previously been unsuitable for in vivo applications, as organic dyes relied on introducing the probes via immunostaining in concert with a reductive, oxygen-free medium for proper photoswitching behaviour. ATTO655 had been previously shown to be suitable for live-cell applications, as its switching behavior can be catalyzed by the reductive environment of the cytoplasm. By introducing the cell-permeant organic dye via a chemical tag system, a high specificity and low background was achieved. Here, the labeled histone H2B complex and thus single nucleosome movements in a live cell can be observed over long time periods and with ~20 nm resolution. Implementing these new approaches for imaging biological processes with high temporal and spatial resolution provides new insights into the dynamics and spatial heterogeneities of proteins, further elucidating their function in the organism and revealing properties that are usually only detectable in vitro.
Ziel dieser Arbeit war es, strukturelle Veränderungen präsynaptischer Aktiver Zonen als mögliches Korrelat synaptischer Plastizität zu detektieren. Damit soll die Hypothese getestet werden, dass strukturelle Plastizität Aktiver Zonen eine zentrale Rolle bei der Informationsverarbeitung im Gehirn und bei Lern- und Gedächtnisprozessen spielt. Dazu war es notwendig Methoden zu etablieren, die die strukturelle Analyse Aktiver Zonen und deren Veränderung in vitalem Gewebe ermöglichen. Um die Untersuchungen in einem Gewebe mit plastischen Eigenschaften durchzuführen, wurden Methoden zur Herstellung organotypischer hippocampaler Hirnschnittkulturen etabliert, da hippokampale Moosfasersynapsen ausgeprägte präsynaptische Plastizität aufweisen (Bliss und Collingridge, 1993). Durch Einzelzellelektroporation wurde es möglich, individuelle Neurone mit Transgenen zur Markierung der gesamten Zelle (DsRed) und synaptischer Substrukturen wie Aktive Zonen (z.B.: GFP-CAST, einem Fluorophor-markierten AZ-Protein) zu transfizieren. Mit konfokaler Bildgebung transfizierter Zellen konnten strukturierte Anreicherungen von GFP-CAST in Moosfaserboutons dargestellt werden. Konfokale Bildgebung von Doppelimmunfluoreszenzfärbungen zur detaillierten Analyse der Proteinlokalisation zeigte ein diffraktionsbedingtes Auflösungsdefizit, das auch durch die Anwendung von STED-Mikroskopie nicht zufriedenstellend gelöst werden konnte. Um eine präzise Karte synaptischer Proteine zu erstellen, wurde hochauflösende Mikroskopie (dSTORM) mit einer lateralen räumlichen Auflösung von 20 nm etabliert. Dabei erwiesen sich die ausgeprägte Plastizität, die hohe Dichte an Aktiven Zonen und die variable Gestalt der Boutons im hippokampalen Präparat als problematisch. Aus diesem Grund wurde die elektronenmikroskopisch gut charakterisierte neuromuskuläre Endplatte mit ihrer symmetrischen molekularen Struktur als Präparat für dSTORM verwendet. An der Endplatte konnte die molekulare Organisation der Aktiven-Zonen-Proteine Piccolo und Bassoon dargestellt werden. Zudem konnten erstmals die Mündungen postsynaptischer Falten lichtmikroskopisch aufgelöst werden. So gelang es Werkzeuge zu etablieren, die mit lichtmikroskopischen Methoden die Darstellung der Architektur Aktiver Zonen mit molekularer Auflösung ermöglichen. Die Herausforderung wird es sein, diese neue Dimension in funktionellem Kontext zu nutzen. Die experimentellen Grundlagen dazu wurden durch eine spezielle Badkammer und die Etablierung von Rollertubekulturen bereits gelegt. Dabei ermöglicht dSTORM die Adressierung quantitativer Fragestellungen bis hin zur Bestimmung der Molekülanzahl.
Die Lokalisationsmikroskopie ist eine neue, vielversprechende Methode der hochauflösenden Fluoreszenzmikroskopie. Sie ermöglicht detaillierte Einblicke in die Organisation und den strukturellen Aufbau von Zellen. Da die Vorbereitung der Proben und das Aufnehmen der Bilder im Vergleich zu herkömmlichen Methoden höhere Anforderungen stellt, mussten ihr Potential und ihre Zuverlässigkeit erst noch überzeugend gezeigt werden. Bis vor kurzem wurde das Auflösungsvermögen vor allem an Mikrotubuli gezeigt, deren filamentöse Struktur allerdings schon in konfokalen Bildern zu erkennen ist. Deswegen wurde in dieser Dissertation der Kernporenkomplex (NPC), dessen Struktur in der konventionellen Fluoreszenzmikroskopie nicht auflösbar ist, als Modellstruktur für die hochauflösende Fluoreszenzmikroskopie eingeführt.
Dazu wurden Kernporenkomplexe aus Kernhüllen von Xenopus laevis Oocyten mit dSTORM (direct stochastic optical reconstruction microscopy), einer Methode der Lokalisationsmikroskopie, hochaufgelöst. Damit konnte nun erstmals die Achtfachsymmetrie dieses Proteinkomplexes lichtmikroskopisch dargestellt werden. Desweiteren konnte der Zentralkanal mit einem Durchmesser von ca. 40 nm aufgelöst werden. Die Daten eigneten sich außerdem für eine automatisierte Bildanalyse nach dem sogenannten "particle averaging" - einer aus der Elektronenmikroskopie bekannten Methode, um eine Durchschnittsstruktur zu ermitteln.
Darüber hinaus wurden Zweifach-Färbungen von NPCs benutzt, um verschiedene Ansätze für Zweifarben-Aufnahmen mit dSTORM zu testen. Neben dem mittlerweile standardmäßig benutzten, sequentiellen Ansatz mit zwei spektral getrennten Farbstoffen, wurde auch ein simultaner Ansatz mit zwei spektral überlappenden Farbstoffen erfolgreich angewandt. Auch für 3D-Messungen mit den Ansätzen Biplane und Astigmatismus eignete sich die Markierung der Kernhülle. Hier wurden jedoch A6-Zellen benutzt und die Krümmung des Zellkerns über die gefärbten Kernporen dargestellt.
dSTORM-Messungen können nicht nur an fixierten, sondern auch in lebenden Zellen durchgeführt werden. Hierzu eignen sich vor allem sehr immobile Proteine, wie H2B oder Lamin C. Anhand von SNAP-Tag- und Halo-Tag-Konstrukten konnte gezeigt werden, dass sich kommerziell erhältliche, organische Farbstoffe auch in endogener zellulärer Umgebung schalten lassen, wodurch Lebendzell-Aufnahmen mit dSTORM möglich sind.
Ein weiterer Teil dieser Arbeit befasst sich mit korrelativen Aufnahmen aus dSTORM und Rasterelektronenmikroskopie (SEM). Hierzu wurden Xenopus laevis Kernhüllen zuerst mit dSTORM hochaufgelöst und danach für die EM präpariert. Anschließend wurden zugehörige Bereiche am Rasterelektronenmikroskop aufgenommen. Mit den erhaltenen korrelativen Bildern konnte gezeigt werden, dass sich dSTORM und SEM bei geeigneten Proben durchaus kombinieren lassen. Proteine können somit spezifisch markiert und im Rahmen ihrer strukturellen Umgebung mit nahezu molekularer Auflösung dargestellt werden.
Da hochwertige Aufnahmen eine ausgereifte Probenpräparation voraussetzen, darf deren Etablierung nicht zu kurz kommen. Unter dieser Prämisse wurde ein optimiertes Markierungsprotokoll mit dem Namen ClickOx entwickelt. Mit ClickOx bleibt bei der kupferkatalysierten Azid-Alkin-Cycloaddition die Feinstruktur von Aktinfilamenten, sowie die Fluoreszenz fluoreszierender Proteine, deutlich sichtbar erhalten. Während bei den klassischen Click-Protokollen auf Grund der Entstehung von reaktiven Sauerstoff-Spezies (ROS) feine zelluläre Strukturen, wie Aktinfilamente, angegriffen oder zerstört werden, schützt das neue Protokoll mit enzymatischem Sauerstoffentzug Proteine und somit Strukturen vor Reaktionen mit ROS. Das unterstreicht, wie wichtig es ist auch sogenannte "etablierte" Protokolle weiterzuentwickeln, denn bestimmte Nebeneffekte in Präparationen werden unter Umständen erstmals in der Hochauflösung sichtbar.
Ein weiterer Aspekt war die Untersuchung des Einflusses von D1 auf die Chromatinorganisation. Mit verschiedenen mikroskopischen Methoden konnten Hinweise auf eine mögliche DNA-Cross-Linking-Fähigkeit dieses Proteins gesammelt werden. Hier wurde die Einzelmolekülinformation der dSTORM-Filme genutzt, um unterschiedliche Grade von DNA- bzw. Chromatin-Akkumulation zu vergleichen. Die Ergebnisse deuten darauf hin, dass wildtypisches D1 DNA vernetzen kann. Dies erfolgt über die sogenannten AT-Haken-Motive. Sobald diese alle durch Mutation funktionsunfähig gemacht werden - wie bei der verwendeten R10xG-Mutante - lässt sich keine Akkumulation der DNA mehr beobachten. Neben der Chromatinaggregation durch D1-Expression konnte in FRAP-Experimenten gezeigt werden, dass nur die "echten" AT-Haken eine hohe Affinität zum Chromatin aufweisen, die sogenannten "potentiellen" hingegen nicht.
The active zone (AZ) protein Bruchpilot (Brp) is essential for rapid glutamate release at Drosophila melanogaster neuromuscular junctions (NMJs). Quantal time course and measurements of action potential-waveform suggest that presynaptic fusion mechanisms are altered in brp null mutants (brp\(^{69}\)). This could account for their increased evoked excitatory postsynaptic current (EPSC) delay and rise time (by about 1 ms). To test the mechanism of release protraction at brp\(^{69}\) AZs, we performed knock-down of Synaptotagmin-1 (Syt) via RNAi (syt\(^{KD}\)) in wildtype (wt), brp\(^{69}\) and rab3 null mutants (rab3\(^{rup}\)), where Brp is concentrated at a small number of AZs. At wt and rab3\(^{rup}\) synapses, syt\(^{KD}\) lowered EPSC amplitude while increasing rise time and delay, consistent with the role of Syt as a release sensor. In contrast, syt\(^{KD}\) did not alter EPSC amplitude at brp\(^{69}\) synapses, but shortened delay and rise time. In fact, following syt\(^{KD}\), these kinetic properties were strikingly similar in wt and brp\(^{69}\), which supports the notion that Syt protracts release at brp\(^{69}\) synapses. To gain insight into this surprising role of Syt at brp\(^{69}\) AZs, we analyzed the structural and functional differentiation of synaptic boutons at the NMJ. At tonic type Ib motor neurons, distal boutons contain more AZs, more Brp proteins per AZ and show elevated and accelerated glutamate release compared to proximal boutons. The functional differentiation between proximal and distal boutons is Brp-dependent and reduced after syt\(^{KD}\). Notably, syt\(^{KD}\) boutons are smaller, contain fewer Brp positive AZs and these are of similar number in proximal and distal boutons. In addition, super-resolution imaging via dSTORM revealed that syt\(^{KD}\) increases the number and alters the spatial distribution of Brp molecules at AZs, while the gradient of Brp proteins per AZ is diminished. In summary, these data demonstrate that normal structural and functional differentiation of Drosophila AZs requires concerted action of Brp and Syt.
We review fluorescent probes that can be photoswitched or photoactivated and are suited for single-molecule localization based super-resolution microscopy. We exploit the underlying photochemical mechanisms that allow photoswitching of many synthetic organic fluorophores in the presence of reducing agents, and study the impact of these on the photoswitching properties of various photoactivatable or photoconvertible fluorescent proteins. We have identified mEos2 as a fluorescent protein that exhibits reversible photoswitching under various imaging buffer conditions and present strategies to characterize reversible photoswitching. Finally, we discuss opportunities to combine fluorescent proteins with organic fluorophores for dual-color photoswitching microscopy.
We review fluorescent probes that can be photoswitched or photoactivated and are suited for single-molecule localization based super-resolution microscopy. We exploit the underlying photochemical mechanisms that allow photoswitching of many synthetic organic fluorophores in the presence of reducing agents, and study the impact of these on the photoswitching properties of various photoactivatable or photoconvertible fluorescent proteins. We have identified mEos2 as a fluorescent protein that exhibits reversible photoswitching under various imaging buffer conditions and present strategies to characterize reversible photoswitching. Finally, we discuss opportunities to combine fluorescent proteins with organic fluorophores for dual-color photoswitching microscopy.
Single-molecule super-resolution microscopy (SMLM) techniques like dSTORM can reveal biological structures down to the nanometer scale. The achievable resolution is not only defined by the localization precision of individual fluorescent molecules, but also by their density, which becomes a limiting factor e.g., in expansion microscopy. Artificial deep neural networks can learn to reconstruct dense super-resolved structures such as microtubules from a sparse, noisy set of data points. This approach requires a robust method to assess the quality of a predicted density image and to quantitatively compare it to a ground truth image. Such a quality measure needs to be differentiable to be applied as loss function in deep learning. We developed a new trainable quality measure based on Fourier Ring Correlation (FRC) and used it to train deep neural networks to map a small number of sampling points to an underlying density. Smooth ground truth images of microtubules were generated from localization coordinates using an anisotropic Gaussian kernel density estimator. We show that the FRC criterion ideally complements the existing state-of-the-art multiscale structural similarity index, since both are interpretable and there is no trade-off between them during optimization. The TensorFlow implementation of our FRC metric can easily be integrated into existing deep learning workflows.