TY - THES A1 - Wobbe, Christina T1 - Hochaufgelöste Mikroskopie mittels strukturierter Beleuchtung zur altersabhängigen Akkumulation autofluoreszierender Granula im retinalen Pigmentepithel des Menschen T1 - High-resolution microscopy using structured illumination for age-dependent accumulation of autofluorescent granules in human retinal pigment epithelium N2 - Die Technik der strukturierten Beleuchtungsmikroskopie (structured illumination microscopy, SIM) ist eine etablierte ultrastrukturelle Aufnahmemethode, die der hochauflösenden Visualisierung intrazellulärer Strukturen dient. In der Ophthalmologie findet diese Art der Bildgebung bisher wenig Anwendung. SIM ermöglicht die histologische Darstellung retinaler Strukturen, wie der Zellen des humanen retinalen Pigmentepithels (RPE). In den Zellen des RPE reichern sich Granula an, die für die Autofluoreszenz-Bildgebung von Bedeutung sind. Anhand der Morphologie und autofluoreszierenden Merkmale lassen sich grundsätzlich drei Granulatypen im RPE unterscheiden: Melanosomen (M), Melanolipofuszin (ML)- und Lipofuszin (L)-Granula. Die Anwendung der SIM ermöglicht die präzise Darstellung und Differenzierung dieser autofluoreszierenden Strukturen, sowie die Bestimmung ihrer Anzahl und Lokalisation. Ziel der Arbeit ist die Darstellung der im humanen RPE lokalisierten Granula mithilfe der SIM. Anhand der unterschiedlichen Autofluoreszenz (AF) der Granula können diese innerhalb des RPE-Zellkörpers klassifiziert, sowie deren Anzahl und Dichte analysiert werden. Diese Analyse wird in Altersgruppen und Retinalokalisationen differenziert. Zudem sind direkte Vergleiche zwischen der Histologie (SIM, ex vivo) und klinischen Aufnahmen (Fundusautofluoreszenz, in vivo) kaum existent. Durch Ermittlung der Gesamt-AF pro Zelle in Korrelation zu der intrazellulären Granuladichte und -verteilung soll eine neue Interpretationsebene ermöglicht werden. Diese Arbeit soll helfen anhand der gewonnenen Daten die Stoffwechselmechanismen der Retina und deren Einfluss auf die Fundusautofluoreszenz (FAF) besser verstehen zu können. Sie soll insbesondere dazu beitragen bestehende und neue klinische FAF-Bildgebungsverfahren zu validieren, die Diagnostik pathologischer Prozesse der Retina zu optimieren und sowohl eine möglichst frühe Erkennung als auch präzise Prognostik zu ermöglichen. Zudem sollen die Daten eine belastbare Basis darstellen, um die mit einem hohen Zeitaufwand verbundene manuelle Zellanalyse einer geschulten künstlichen Intelligenz zu überlassen. Damit könnte der Analyseprozess von Gewebeproben immens beschleunigt werden und in seiner Effizienz maximiert werden. N2 - Structured illumination microscopy (SIM) is an established ultrastructural imaging technique for high-resolution visualization of intracellular structures. So far, this type of imaging has not been used much in ophthalmology. SIM enables the histological visualization of retinal structures, such as the cells of the hu- man retinal pigment epithelium (RPE). Granules accumulate in the cells of the RPE, which are important for autofluorescence imaging. Basically, three types of granules in the RPE can be distinguished on the basis of the morphology and autofluorescent characteristics: Melanosomes (M), Melanolipofuscin (ML) granules and Lipofuscin (L) granules. The use of SIM enables the precise representation and differentiation of these autofluorescent structures, as well as the determination of their number and localization. The aim of this work is to visualize the granules localized in human RPE using SIM. Based on the different autofluorescence (AF) of the granules, they can be classified within the RPE cell body and their number and density can be analyzed. This analysis is differentiated into age groups and retinal localizations. In addition, direct comparisons between histology (SIM, ex vivo) and clinical images (fundus autofluorescence, in vivo) hardly exist. By determining the total AF per cell in correlation to the intracellular granule density and distribution, a new level of interpretation should be made possible. This work will help to understand the metabolic mechanisms of the retina and their influence on fundus autofluorescence (FAF). In particular, it should contribute to validating existing and new clinical FAF imaging methods, optimizing the diagnosis of pathological processes in the retina and enabling both early detection and precise prognosis. In addition, the data should provide a reliable basis for leaving the time-consuming manual cell analysis to a trained artificial intelligence. This could immensely accelerate the analysis process of tissue samples and maximize its efficiency. KW - Netzhaut KW - Retinales Pigmentepithel KW - Autofluoreszenz KW - structured illumination microscopy KW - Retina Y1 - 2023 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-321490 ER - TY - JOUR A1 - Panzer, Sabine A1 - Brych, Annika A1 - Batschauer, Alfred A1 - Terpitz, Ulrich T1 - Opsin 1 and Opsin 2 of the corn smut fungus ustilago maydis are green light-driven proton pumps JF - Frontiers in Microbiology N2 - In fungi, green light is absorbed by rhodopsins, opsin proteins carrying a retinal molecule as chromophore. The basidiomycete Ustilago maydis, a fungal pathogen that infects corn plants, encodes three putative photoactive opsins, called ops1 (UMAG_02629), ops2 (UMAG_00371), and ops3 (UMAG_04125). UmOps1 and UmOps2 are expressed during the whole life cycle, in axenic cultures as well as in planta, whereas UmOps3 was recently shown to be absent in axenic cultures but highly expressed during plant infection. Here we show that expression of UmOps1 and UmOps2 is induced by blue light under control of white collar 1 (Wco1). UmOps1 is mainly localized in the plasma membrane, both when expressed in HEK cells and U. maydis sporidia. In contrast, UmOps2 was mostly found intracellularly in the membranes of vacuoles. Patch-clamp studies demonstrated that both rhodopsins are green light-driven outward rectifying proton pumps. UmOps1 revealed an extraordinary pH dependency with increased activity in more acidic environment. Also, UmOps1 showed a pronounced, concentration-dependent enhancement of pump current caused by weak organic acids (WOAs), especially by acetic acid and indole-3-acetic acid (IAA). In contrast, UmOps2 showed the typical behavior of light-driven, outwardly directed proton pumps, whereas UmOps3 did not exhibit any electrogenity. With this work, insights were gained into the localization and molecular function of two U. maydis rhodopsins, paving the way for further studies on the biological role of these rhodopsins in the life cycle of U. maydis. KW - Ustilago maydis KW - patch-clamp KW - fungal rhodopsins KW - microbial rhodopsins KW - acetate KW - indole-3-acetic acid KW - structured illumination microscopy KW - sporidia Y1 - 2019 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-201453 VL - 10 ER - TY - JOUR A1 - Markert, Sebastian Matthias A1 - Britz, Sebastian A1 - Proppert, Sven A1 - Lang, Marietta A1 - Witvliet, Daniel A1 - Mulcahy, Ben A1 - Sauer, Markus A1 - Zhen, Mei A1 - Bessereau, Jean-Louis A1 - Stigloher, Christian T1 - Filling the gap: adding super-resolution to array tomography for correlated ultrastructural and molecular identification of electrical synapses at the C. elegans connectome JF - Neurophotonics N2 - Correlating molecular labeling at the ultrastructural level with high confidence remains challenging. Array tomography (AT) allows for a combination of fluorescence and electron microscopy (EM) to visualize subcellular protein localization on serial EM sections. Here, we describe an application for AT that combines near-native tissue preservation via high-pressure freezing and freeze substitution with super-resolution light microscopy and high-resolution scanning electron microscopy (SEM) analysis on the same section. We established protocols that combine SEM with structured illumination microscopy (SIM) and direct stochastic optical reconstruction microscopy (dSTORM). We devised a method for easy, precise, and unbiased correlation of EM images and super-resolution imaging data using endogenous cellular landmarks and freely available image processing software. We demonstrate that these methods allow us to identify and label gap junctions in Caenorhabditis elegans with precision and confidence, and imaging of even smaller structures is feasible. With the emergence of connectomics, these methods will allow us to fill in the gap-acquiring the correlated ultrastructural and molecular identity of electrical synapses. KW - caenorhabditis elegans KW - localization micoscopy KW - fluorescent-probes KW - junction proteins KW - resolution limit KW - direct stochasticoptical reconstruction microscopy KW - structured illumination microscopy KW - correlative light and electron microscopy KW - gap junction KW - neural circuits KW - nervous-system KW - image data KW - reconstruction KW - innexins KW - super-resolution microscopy Y1 - 2016 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-187292 VL - 3 IS - 4 ER -