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 | 3D Optical Tomography For Ex Vivo And In Vivo Imaging
James McGinty, Imperial College London
During my presentation I will give example applications, including immunohistology of excised whole mouse pancreas, in vivo fluorescence lifetime OPT of zebrafish embryos, mapping of tumour progression and vascularisation in live adult zebrafish and resolving a FRET interaction in a mouse model.
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 | 3D Single Particle Tracking: Following Mitochondria in Zebrafish Embryos
Don Lamb, Ludwig-Maximilians-University
Single particle tracking (SPT) allows one to follow objects as they perform their normal tasks. I will give a general introduction to SPT and exemplify what I introduce with research from my group on tracking of Mitochondria in Zebrafish Embryos.
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 | Correlated Fluorescence And X-Ray Tomography: Finding Molecules In Cellular CT Scans
Carolyn Larabell, University of California San Francisco
Fluorescence microscopy reveals the distribution of specific molecules, soft x-ray tomography generates 3D views of cell structures, and overlaying the two data sets enhances the information obtained. I will describe these technologies and present examples of their applications
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 | Democratising Live-Cell High-Speed Super-Resolution Microscopy
Ricardo Henriques, University College London
Democratising live-cell high-speed low-illumination super-resolution microscopy
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| Democratising Live-Cell High-Speed Super-Resolution Microscopy
Ricardo Henriques, University College London
Democratising live-cell high-speed low-illumination super-resolution microscopy.
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 | Information in Localisation Microscopy
Patrick Fox-Roberts, Kings College London
The information flow through the microscope limits the speed of localisation microscopy. Higher speeds lead to errors which can be spotted using Bayesian analysis.
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 | Optical Imaging of Molecular Mechanisms of Disease
Clemens Kaminski, University of Cambridge
I will present dynamic and superresolved imaging techniques to study protein misfolding and aggregation in the context of neurodegeneration.
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| Optical Imaging of Molecular Mechanisms of Disease
Clemens Kaminski, University of Cambridge
I will present dynamic and superresolved imaging techniques to study protein misfolding and aggregation in the context of neurodegeneration.
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 | Optical Imaging of Molecular Mechanisms of Disease
Clemens Kaminski, University of Cambridge
I will present dynamic and superresolved imaging techniques to study protein misfolding and aggregation in the context of neurodegeneration.
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| Optical Imaging of Molecular Mechanisms of Disease
Clemens Kaminski, University of Cambridge
I will present dynamic and superresolved imaging techniques to study protein misfolding and aggregation in the context of neurodegeneration.
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| Optical Imaging of Molecular Mechanisms of Disease
Clemens Kaminski, University of Cambridge
I will present dynamic and superresolved imaging techniques to study protein misfolding and aggregation in the context of neurodegeneration.
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| Optical Imaging of Molecular Mechanisms of Disease
Clemens Kaminski, University of Cambridge
I will present dynamic and superresolved imaging techniques to study protein misfolding and aggregation in the context of neurodegeneration.
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 | Super-Resolution Imaging by dSTORM
Markus Sauer, Julius-Maximilians-Universität Würzburg
In this presentation I will demonstrate the advantageous use of dSTORM for quantitative imaging of synaptic proteins, the study of plasma membrane organization, and the molecular architecture of multiprotein complexes. Finally, I will outline how dSTORM can be used advantageously to improve next generation medical therapies.
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 | Visualizing Mechano-Biology: Quantitative Bioimaging Tools To Study The Impact Of Mechanical Stress On Cell Adhesion And Signalling
Bernhard Wehrle-Haller, University of Geneva
In my talk I will present the use and design of fluorescent probes for quantitative live cell imaging, in order to study the function of specific proteins of the cytoskeleton or cell-matrix adhesions, relevant to adhesion, migration and survival of normal and cancer cells.
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