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Robert Prevedel

Researcher at European Bioinformatics Institute

Publications -  100
Citations -  5053

Robert Prevedel is an academic researcher from European Bioinformatics Institute. The author has contributed to research in topics: Microscopy & Quantum information. The author has an hindex of 28, co-authored 88 publications receiving 4041 citations. Previous affiliations of Robert Prevedel include University of Queensland & University of Waterloo.

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Crossed-crystal scheme for femtosecond-pulsed entangled photon generation in periodically poled potassium titanyl phosphate

TL;DR: In this article, a femtosecond pulsed spontaneous parametric down-conversion in periodically poled potassium titanyl phosphate crystals is presented. But the source is difficult to align and exhibits high-quality polarization entanglement as well as nonclassical interference capabilities.
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Implementation and characterization of active feed-forward for deterministic linear optics quantum computing

TL;DR: Techniques for implementing fast, active feed-forward at the single photon level and the characterization of the EOMs as well as a description of the switching logics, both of which allow quantum computation at an unprecedented speed are discussed.
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High-resolution line-scan Brillouin microscopy for live imaging of mechanical properties during embryo development

TL;DR: In this paper , a high-resolution line-scanning Brillouin microscope for multiplexed and hence fast 3D imaging of dynamic biological processes with low phototoxicity is presented.
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Quantitative evaluation of two-photon calcium imaging modalities for high-speed volumetric calcium imaging in scattering brain tissue

TL;DR: A detailed quantitative evaluation and comparison of different excitation/detection modalities from the perspective of detecting neuronal activity that are based on different point-spread functions (PSF), laser repetition rates and sampling strategies shows that volumetric field of view and acquisition speed can be considerably improved compared to traditional 2PM schemes by a holistic optimization approach.
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Using migrating cells as probes to illuminate features in live embryonic tissues.

TL;DR: A novel, noninvasive methodology for determining the spatial distribution of tissue features within embryos, making use of nondirectionally migrating cells and software called “Landscape,” which performs automatized high-throughput three-dimensional image registration.