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In acute graft-versus-host disease (GVHD) alloreactive donor T cells selectively damage skin, liver, and the gastrointestinal tract while other organs are rarely affected. The mechanism of this selective target tissue infiltration is not well understood. We investigated the importance of alloantigen expression for the selective organ manifestation by examining spatiotemporal changes of cellular and molecular events after allogeneic hematopoietic cell transplantation (allo-HCT). To accomplish this we established a novel multicolor light sheet fluorescence microscopy (LSFM) approach for deciphering immune processes in large tissue specimens on a single-cell level in 3 dimensions. We combined and optimized protocols for antibody penetration, tissue clearing, and triple-color illumination to create a method for analyzing intact mouse and human tissues. This approach allowed us to successfully quantify changes in expression patterns of mucosal vascular addressin cell adhesion molecule–1 (MAdCAM-1) and T cell responses in Peyer’s patches following allo-HCT. In addition, we proofed that LSFM is suitable to map individual T cell subsets after HCT and detected rare cellular events. We employed this versatile technique to study the role of alloantigen expression for the selective organ manifestation after allo-HCT. Therefore, we used a T cell receptor (TCR) transgenic mouse model of GVHD that targets a single peptide antigen and thereby mimics a major histocompatibility complex (MHC)-matched single antigen mismatched (miHAg-mismatched) HCT. We transplanted TCR transgenic (OT-I) T cells into myeloablatively conditioned hosts that either express the peptide antigen ovalbumin ubiquitously (βa-Ova) or selectively in the pancreas (RIP-mOva), an organ that is normally not affected by acute GVHD. Of note, at day+6 after HCT we observed that OT-I T cell infiltration occurred in an alloantigen dependent manner. In βa-Ova recipients, where antigen was ubiquitously expressed, OT-I T cells infiltrated all organs and were not restricted to gastrointestinal tract, liver, and skin. In RIP-mOva recipients, where cognate antigen was only expressed in the pancreas, OT-I T cells selectively infiltrated this organ that is usually spared in acute GVHD. In conditioned RIP-mOva the transfer of 100 OT-I T cells sufficed to effectively infiltrate and destroy pancreatic islets resulting in 100% mortality. By employing intact tissue LSFM in RIP-mOva recipients, we identified very low numbers of initial islet infiltrating T cells on day+4 after HCT followed by a massive T cell migration to the pancreas within the following 24 hours. This suggested an effective mechanism of effector T cell recruitment to the tissue of alloantigen expression after initial antigen specific T cell encounter. In chimeras that either expressed the model antigen ovalbumin selectively in hematopoietic or in parenchymal cells only, transplanted OT-I T cells infiltrated target tissues irrespective of which compartment expressed the alloantigen. As IFN-γ could be detected in the serum of transplanted ovalbumin expressing recipients (βa-Ova, βa-Ova-chimeras and RIP-mOva) at day+6 after HCT, we hypothesized that this cytokine may be functionally involved in antigen specific OT-I T cell mediated pathology. In vitro activated OT-I T cells responded with the production of IFN-γ upon antigen re-encounter suggesting that IFN-γ might be relevant in the alloantigen dependent organ infiltration of antigen specific CD8+ T cell infiltration after HCT. Based on these data we propose that alloantigen expression plays an important role in organ specific T cell infiltration during acute GVHD and that initial alloreactive T cells recognizing the cognate antigen propagate a vicious cycle of enhanced T cell recruitment that subsequently culminates in the exacerbation of tissue restricted GVHD.
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.
Accurate information transfer between neurons governs proper brain function. At chemical synapses, communication is mediated via neurotransmitter release from specialized presynaptic intercellular contact sites, so called active zones. Their molecular composition constitutes a precisely arranged framework that sets the stage for synaptic communication.
Active zones contain a variety of proteins that deliver the speed, accuracy and plasticity inherent to neurotransmission. Though, how the molecular arrangement of these proteins influences active zone output is still ambiguous. Elucidating the nanoscopic organization of AZs has been hindered by the diffraction-limited resolution of conventional light microscopy, which is insufficient to resolve the active zone architecture on the nanometer scale. Recently, super-resolution techniques entered the field of neuroscience, which yield the capacity to bridge the gap in resolution between light and electron microscopy without losing molecular specificity. Here, localization microscopy methods are of special interest, as they can potentially deliver quantitative information about molecular distributions, even giving absolute numbers of proteins present within cellular nanodomains.
This thesis puts forward an approach based on conventional immunohistochemistry to quantify endogenous protein organizations in situ by employing direct stochastic optical reconstruction microscopy (dSTORM). Focussing on Bruchpilot (Brp) as a major component of Drosophila active zones, the results show that the cytomatrix at the active zone is composed of units, which comprise on average ~137 Brp molecules, most of which are arranged in approximately 15 heptameric clusters. To test for a quantitative relationship between active zone ultrastructure and synaptic output, Drosophila mutants and electrophysiology were employed. The findings indicate that the precise spatial arrangement of Brp reflects properties of short-term plasticity and distinguishes distinct mechanistic causes of synaptic depression. Moreover, functional diversification could be connected to a heretofore unrecognized ultrastructural gradient along a Drosophila motor neuron.
Single-molecule fluorescence microscopy in live \(Trypanosoma\) \(brucei\) and model membranes
(2018)
The eukaryotic parasite Trypanosoma brucei has evolved sophisticated strategies to escape
the host immune response and maintain a persistent infection inside a host. One central
feature of the parasite’s defense mechanism relies on the shielding function of their surface
protein coat. This coat is composed of a dense arrangement of one type of glycosylphosphatidylinositol
(GPI)-anchored variant surface glycoproteins (VSGs) which impair the
identification of epitopes of invariant surface proteins by the immune system. In addition
to the importance of understanding the function of the VSG coat and use it as a potential
target to efficiently fight the parasite, it is also crucial to study its biophysical properties as it is not yet understood sufficiently. This is due to the fact that microscopic investigations
on living trypanosomes are limited to a great extent by the intrinsic motility of the parasite.
In the present study, state-of-the-art single-molecule fluorescence microscopy (SMFM)
is introduced as a tool for biophysical investigations in the field of trypanosome research.
The work encompasses studies of VSG dynamics under the defined conditions of an
artificial supported lipid bilayer (SLB). First, the impact of the lateral protein density on
VSG diffusion was systematically studied in SLBs. Ensemble fluorescence after photobleaching
(FRAP) and complementary single-particle tracking experiments revealed that a
molecular crowding threshold (MCT) exists, above which a density dependent decrease
of the diffusion coefficient is measured. A relative quantification of reconstituted VSGs
illustrated that the VSG coat of living trypanosomes operates very close to its MCT and
is optimized for high density while maintaining fluidity. Second, the impact of VSG
N-glycosylation on VSG diffusion was quantitatively investigated. N-glycosylation was
shown to contribute to preserving protein mobility at high protein concentrations. Third,
a detailed analysis of VSG trajectories revealed that two distinct populations of freely
diffusing VSGs were present in a SLB, which is in agreement with the recent finding, that
VSGs are able to adopt two main structurally distinct conformations. The results from
SLBs were further complemented by single-particle tracking experiments of surface VSGs
on living trypanosomes. A high mobility and free diffusion were measured on the cell
surface, illustrating the overall dynamic nature of the VSG coat. It was concluded that
the VSG coat on living trypanosomes is a protective structure that combines density and
mobility, which is supported by the conformational flexibility of VSGs. These features are
elementary for the persistence of a stable infection in the host.
Different hydrogel embedding methods are presented, that facilitated SMFM in immobilized,
living trypanosomes. The hydrogels were found to be highly cytocompatible for one
hour after cross-linking. They exhibited low autofluorescence properties in the spectral
range of the investigations, making them suitable for super-resolution microscopy (SRM).
Exemplary SRM on living trypanosomes illustrated that the hydrogels efficiently immobilized
the cells on the nanometer lever. Furthermore, the plasma membrane organization was studied in living trypanosomes. A statistical analysis of a tracer molecule inside the
inner leaflet of the plasma membrane revealed that specific membrane domains exist, in
which the tracer appeared accumulated or diluted. It was suggested that this distribution
was caused by the interaction with proteins of the underlying cytoskeleton.
In conclusion, SMFM has been successfully introduced as a tool in the field of trypanosome
research. Measurements in model membranes facilitated systematic studies of VSG dynamics
on the single-molecule level. The implementation of hydrogel immobilization
allowed for the study of static structures and dynamic processes with high spatial and
temporal resolution in living, embedded trypanosomes for the first time.
The interaction of synaptic proteins orchestrate the function of one of the most complex organs, the brain. The multitude of molecular elements influencing neurological correlations makes imaging processes complicated since conventional fluorescence microscopy methods are unable to resolve structures beyond the diffraction-limit.
The implementation of super-resolution fluorescence microscopy into the field of neuroscience allows the visualisation of the fine details of neural connectivity. The key element of my thesis is the super-resolution technique dSTORM (direct Stochastic Optical Reconstruction Microscopy) and its optimisation as a multi-colour approach. Capturing more than one target, I aim to unravel the distribution of synaptic proteins with nanometer precision and set them into a structural and quantitative context with one another. Therefore dSTORM specific protocols are optimized to serve the peculiarities of particular neural samples.
In one project the brain derived neurotrophic factor (BDNF) is investigated in primary, hippocampal neurons. With a precision beyond 15 nm, preand post-synaptic sites can be identified by staining the active zone proteins bassoon and homer. As a result, hallmarks of mature synapses can be exhibited. The single molecule sensitivity of dSTORM enables the measurement of endogenous BDNF and locates BDNF granules aligned with glutamatergic pre-synapses. This data proofs that hippocampal neurons are capable of enriching BDNF within the mature glutamatergic pre-synapse, possibly influencing synaptic plasticity.
The distribution of the metabotropic glutamate receptor mGlu4 is investigated in physiological brain slices enabling the analysis of the receptor in its natural environment. With dual-colour dSTORM, the spatial arrangement of the mGlu4 receptor in the pre-synaptic sites of parallel fibres in the molecular layer of the mouse cerebellum is visualized, as well as a four to six-fold increase in the density of the receptor in the active zone compared to the nearby environment. Prior functional measurements show that metabotropic glutamate receptors influence voltage-gated calcium channels and proteins that are involved in synaptic vesicle priming. Corresponding dSTORM data indeed suggests that a subset of the mGlu4 receptor is correlated with the voltage-gated calcium channel Cav2.1 on distances around 60 nm.
These results are based on the improvement of the direct analysis of localisation data. Tools like coordinated based correlation analysis and nearest neighbour analysis of clusters centroids are used complementary to map protein connections of the synapse. Limits and possible improvements of these tools are discussed to foster the quantitative analysis of single molecule localisation microscopy data.
Performing super-resolution microscopy on complex samples like brain slices benefits from a maximised field of view in combination with the visualisation of more than two targets to set the protein of interest in a cellular context. This challenge served as a motivation to establish a workflow for correlated structured illumination microscopy (SIM) and dSTORM. The development of the visualisation software coSIdSTORM promotes the combination of these powerful super-resolution techniques even on separated setups. As an example, synapses in the cerebellum that are affiliated to the parallel fibres and the dendrites of the Purkinje cells are identified by SIM and the protein bassoon of those pre-synapses is visualised threedimensionally with nanoscopic precision by dSTORM.
In this work I placed emphasis on the improvement of multi-colour super-resolution imaging and its analysing tools to enable the investigation of synaptic proteins. The unravelling of the structural arrangement of investigated proteins supports the building of a synapse model and therefore helps to understand the relation between structure and function in neural transmission processes.
Trypanosoma brucei is an obligate parasite and causative agent of severe diseases affecting humans and livestock. The protist lives extracellularly in the bloodstream of the mammalian host, where it is prone to attacks by the host immune system. As a sophisticated means of defence against the immune response, the parasite’s surface is coated in a dense layer of the variant surface glycoprotein (VSG), that reduces identification of invariant epitopes on the cell surface by the immune system to levels that prevent host immunity. The VSG has to form a coat that is both dense and mobile, to shield invariant surface proteins from detection and to allow quick recycling of the protective coat during immune evasion. This coat effectively protects the parasite from the harsh environment that is the mammalian bloodstream and leads to a persistent parasitemia if the infection remains untreated. The available treatment against African Trypanosomiasis involves the use of drugs that are themselves severely toxic and that can lead to the death of the patient. Most of the drugs used as treatment were developed in the early-to-mid 20th century, and while developments continue, they still represent the best medical means to fight the parasite. The discovery of a fluorescent VSG gave rise to speculations about a potential interaction between the VSG coat and components of the surrounding medium, that could also lead to a new approach in the treatment of African Trypanosomiasis that involves the VSG coat. The initially observed fluorescence signal was specific for a combination of a VSG called VSG’Y’ and the triphenylmethane (TPM) dye phenol red. Exchanging this TPM to a bromo-derivative led to the observation of another fluorescence effect termed trypanicidal effect which killed the parasite independent of the expressed VSG and suggests a structurally conserved feature between VSGs that could function as a specific drug target against T. b. brucei. The work of this thesis aims to identify the mechanisms that govern the unique VSG’Y’ fluorescence and the trypanocidal effect. Fluorescence experiments and protein mutagenesis of VSG’Y’ as well as crystallographic trials with a range of different VSGs were utilized in the endeavour to identify the binding mechanisms between TPM compounds and VSGs, to find potentially conserved structural features between VSGs and to identify the working mechanisms of VSG fluorescence and the trypanocidal effect. These trials have the potential to lead to the formulation of highly specific drugs that
target the parasites VSG coat.
During the crystallographic trials of this thesis, the complete structure of a VSG was solved experimentally for the first time. This complete structure is a key component in furthering the understanding of the mechanisms governing VSG coat formation. X-ray scattering techniques, involving x-ray crystallography and small angle x-ray scattering were applied to elucidate the first complete VSG structures, which reveal high flexibility of the protein and supplies insight into the importance of this flexibility in the formation of a densely packed but highly mobile surface coat.
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 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.
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.
In mammals, anucleate platelets circulate in the blood flow and are primarily responsible for maintaining functional hemostasis. Platelets are generated in the bone marrow (BM) by megakaryocytes (MKs), which mainly reside directly next to the BM sinusoids to release proplatelets into the blood. MKs originate from hematopoietic stem cells and are thought to migrate from the endosteal to the vascular niche during their maturation, a process, which is, despite being intensively investigated, still not fully understood.
Long-term intravital two photon microscopy (2PM) of MKs and vasculature in murine bone marrow was performed and mean squared displacement analysis of cell migration was performed. The MKs exhibited no migration, but wobbling-like movement on time scales of 3 h. Directed cell migration always results in non-random spatial distribution. Thus, a computational modelling algorithm simulating random MK distribution using real 3D light-sheet fluorescence microscopy data sets was developed. Direct comparison of real and simulated random MK distributions showed, that MKs exhibit a strong bias to vessel-contact. However, this bias is not caused by cell migration, as non-vessel-associated MKs were randomly distributed in the intervascular space. Furthermore, simulation studies revealed that MKs strongly impair migration of other cells in the bone marrow by acting as large-sized obstacles. MKs are thought to migrate from the regions close to the endosteum towards the vasculature during their maturation process. MK distribution as a function of their localization relative to the endosteal regions of the bones was investigated by light sheet fluorescence microscopy (LSFM). The results show no bone-region dependent distribution of MKs. Taken together, the newly established methods and obtained results refute the model of MK migration during their maturation.
Ischemia reperfusion (I/R) injury is a frequent complication of cerebral ischemic stroke, where brain tissue damage occurs despite successful recanalization. Platelets, endothelial cells and immune cells have been demonstrated to affect the progression of I/R injury in experimental mouse models 24 h after recanalization. However, the underlying Pathomechanisms, especially in the first hours after recanalization, are poorly understood.
Here, LSFM, 2PM and complemental advanced image analysis workflows were established for investigation of platelets, the vasculature and neutrophils in ischemic brains. Quantitative analysis of thrombus formation in the ipsilateral and contralateral hemispheres at different time points revealed that platelet aggregate formation is minimal during the first 8 h after recanalization and occurs in both hemispheres. Considering that maximal tissue damage already is present at this time point, it can be concluded that infarct progression and neurological damage do not result from platelet aggregated formation. Furthermore, LSFM allowed to confirm neutrophil infiltration into the infarcted hemisphere and, here, the levels of endothelial cell marker PECAM1 were strongly reduced. However, further investigations must be carried out to clearly identify the role of neutrophils and the endothelial cells in I/R injury.