TY - JOUR A1 - Endesfelder, Ulrike A1 - Malkusch, Sebastian A1 - Flottmann, Benjamin A1 - Mondry, Justine A1 - Liguzinski, Piotr A1 - Verveer, Peter J. A1 - Heilemann, Mike T1 - Chemically Induced Photoswitching of Fluorescent Probes - A General Concept for Super-Resolution Microscopy N2 - 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. KW - Super-Resolution Microscopy KW - photoswitchable organic fluorophores KW - fluorescent proteins KW - super-resolution KW - PALM KW - dSTORM Y1 - 2011 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-74896 ER - TY - JOUR A1 - Endesfelder, Ulrike A1 - Malkusch, Sebastian A1 - Flottmann, Benjamin A1 - Mondry, Justine A1 - Liguzinski, Piotr A1 - Verveer, Peter J. A1 - Heilemann, Mike T1 - Chemically Induced Photoswitching of Fluorescent Probes - A General Concept for Super-Resolution Microscopy JF - Molecules N2 - 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. KW - Photoactivated localization microscopy KW - Fusion proteins KW - Molecules KW - Patterns KW - Switch KW - Limit KW - Time KW - photoswitchable organic fluorophores KW - fluorescent proteins KW - super-resolution KW - PALM KW - dSTORM Y1 - 2011 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-134080 VL - 16 IS - 4 ER - TY - THES A1 - Proppert, Sven Martin T1 - Design, implementation and characterization of a microscope capable of three-dimensional two color super-resolution fluorescence imaging T1 - Design, Implementierung und Charakterisierung eines Mikroskops für dreidimensionale zwei Farben superhochauflösende Fluoreszenz-Bildgebung N2 - This thesis reviews the fundamentals of three-dimensional super-resolution localization imaging. In order to infer the axial coordinate of the emission of single fluorophores, the point spread function is engineered following a technique usually referred to as astigmatic imaging by the introduction of a cylindrical lens to the detection path of a microscope. After giving a short introduction to optics and localization microscopy, I outline sources of aberrations as frequently encountered in 3D-localization microscopy and will discuss their respective impact on the precision and accuracy of the localization process. With the knowledge from these considerations, experiments were designed and conducted to verify the validity of the conclusions and to demonstrate the abilities of the proposed microscope to resolve biological structures in the three spatial dimensions. Additionally, it is demonstrated that measurements of huge volumes with virtually no aberrations is in principle feasible. During the course of this thesis, a new method was introduced for inferring axial coordinates. This interpolation method based on cubic B-splines shows superior performance in the calibration of a microscope and the evaluation of subsequent measurement and will therefore be used and explained in this work. Finally, this work is also meant to give future students some guidance for entering the field of 3D localization microscopy and therefore, detailed protocols are provided covering the specific aspects of two color 3D localization imaging. N2 - In dieser Arbeit werden die Grundlagen der dreidimensionalen hochauflösenden Lokalisationsmikroskopie erarbeitet und daraus Spezifikationen für ein geeignetes Mikroskop abgeleitet. Zur Gewinnung der axialen Koordinate der Emission einzelner Farbstoffe wird die Punktspreizfunktion in der Detektion astigmatisch mithilfe einer zylindrischen Linse verändert. Nach einer kurzen Einleitung in die Grundzüge der Optik und der Lokalisationsmikroskopie werden die Ursachen für typische Aberrationen besprochen, wie sie in der 3D-Lokalisationsmikroskopie häufig auftreten. Weiterhin wird der Einfluss dieser Aberrationen auf die erreichbare Präzision und Exaktheit des Lokalisationsprozesses behandelt. Mit dem Wissen aus diesen Überlegungen wurden Experimente entworfen und durchgeführt um die getroffenen Schlussfolgerungen zu validieren und zu demonstrieren, dass das vorgeschlagene Mikroskop dazu in der Lage ist, biologische Strukturen in den drei räumlichen Dimensionen aufzulösen. Weiterhin wird gezeigt, dass beinahe aberrationsfreie Mikroskopie großer Volumina prinzipiell möglich ist. Während der Arbeit an dieser Promotion wurde eine neue Methode zur Gewinnung der axialen Koordinaten eingeführt. Diese auf kubischen B-splines basierende Interpolationsmethode stellte sich als anderen Routinen überlegen in der Kalibration eines Mikroskops und der anschließenden Auswertung von Messungen heraus. Deshalb wird dieses Verfahren in der vorliegenden Arbeit verwendet und erklärt. Da diese Doktorarbeit auch den Anspruch hat, zukünftigen Studenten den Einstieg in die hochauflösende 3D Mikroskopie zu erleichtern, werden abschließend detaillierte Protokolle für spezifische Aspekte der zwei Farben 3D Lokalisationsmikroskopie zur Verfügung gestellt. KW - Dimension 3 KW - aberration KW - Einzelmolekülmikroskopie KW - single molecule microscopy KW - 3D KW - super-resolution KW - Mikroskopie KW - Hochauflösendes Verfahren KW - Aberration Y1 - 2014 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-107905 ER - TY - JOUR A1 - Berberich, Andreas A1 - Kurz, Andreas A1 - Reinhard, Sebastian A1 - Paul, Torsten Johann A1 - Burd, Paul Ray A1 - Sauer, Markus A1 - Kollmannsberger, Philip T1 - Fourier Ring Correlation and anisotropic kernel density estimation improve deep learning based SMLM reconstruction of microtubules JF - Frontiers in Bioinformatics N2 - 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. KW - dSTORM KW - deep learning–artificial neural network (DL-ANN) KW - single molecule localization microscopy KW - microtubule cytoskeleton KW - super-resolution Y1 - 2021 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-261686 VL - 1 ER -