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BACKGROUND The dynamic properties of microtubules depend on complex nanoscale structural rearrangements in their end regions. Members of the EB1 and XMAP215 protein families interact autonomously with microtubule ends. EB1 recruits several other proteins to growing microtubule ends and has seemingly antagonistic effects on microtubule dynamics: it induces(More)
In this paper we describe the implementation of a numerical weather forecast model on a massively parallel computer system. This model is a production code used for routine weather forecasting at the meteorological institutes of several European countries. The modiications needed to achieve a data-parallel version of this model without explicit message(More)
A four-dimensional ensemble variational (4D-En-Var) data assimilation has been developed for a limited area model. The integration of tangent linear and adjoint models , as applied in standard 4D-Var, is replaced with the use of an ensemble of non-linear model states to estimate four-dimensional background error covariances over the assimilation time(More)
A data-parallel implementation on a SIMD platform of an operational numerical weather forecast model is presented. The performances of two popular numerical techniques within these models are discussed, namely finite difference (gridpoint) methods and spectral methods. In this paper in particular the performance achieved for a full production run is(More)
Tracking dynamic microtubule ends in fluorescence microscopy movies provides insight into the statistical properties of microtubule dynamics and is vital for further analysis that requires knowledge of the trajectories of the microtubule ends. Here we analyse the performance of a previously developed automated microtubule end tracking routine; this has been(More)
Despite significant progress, high-speed live-cell super-resolution studies remain limited to specialized optical setups, generally requiring intense phototoxic illumination. Here, we describe a new analytical approach, super-resolution radial fluctuations (SRRF), provided as a fast graphics processing unit-enabled ImageJ plugin. In the most challenging(More)
The paper deals with the comparison of the most common periodization methods used to obtain spectral fields of limited-area models for numerical weather prediction. The focus is on the impact the methods have on the spectra of the fields, which are used for verification and tuning of the models. A simplified model is applied with random 5 fields that obey a(More)
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