Sentence examples for processing and reconstruction from inspiring English sources

J.W. carried out protein expression and purification, grid preparation and optimization, electron microscopy data collection, image processing and reconstruction, atomic model building and refinement, and thermal shift assays.

My research interests include development of software algorithms in Radiology and Medicine aimed at work-flow optimization, improvement of patient safety, image processing and reconstruction algorithms, natural language processing algorithms, computer-aided detection, dual-energy CT, radiopharmaceutical tracer kinetics, and normal variations.

The proposed framework features a tuned focused ion beam-scanning electron microscope (FIB-SEM) imaging technique and an in-house developed procedure for image processing and reconstruction of the true 3-D structure which is validated with measured porosimetry data for a pure MPL sample.

Feb. 2011 20100 IEEE Signal Processing Society -Best Paper Award (Kernel Regression for Image Processing and Reconstruction, in IEEE Transactions on Image Processing).

In this paper, we make contact with the field of nonparametric statistics and present a development and generalization of tools and results for use in image processing and reconstruction.

The tilt series data were treated for image processing and reconstruction using the IMOD software program from Boulder Laboratory for 3D Electron Microscopy of Cells and the University of Colorado [26].

We thank R. Urban and S. Farivar-Hayes for anatomical processing and reconstructions and members of the laboratory for comments.

As is often the case with most technologies communicating the end product of the laser scanning and photogrammetry to various stakeholders was challenging when limited time and budget was available for post-processing and reconstruction.

In this paper, we have developed a new mainlobe interference suppression method based on IAA spatial spectrum, INCM reconstruction, eigen-projection processing, and SINCM reconstruction, which annihilates the prior information restrictions existing in the previous methods for mainlobe interference suppression.

Overall, the proposed SS-MC exhibits a stable and predicable performance, achieving a very good trade-off between processing requirements and reconstruction quality.

Digital imaging has been applied in many fields, but digital image quality is inevitably reduced and affected during image collection, compression [1 3], transmission [4], processing [5], and reconstruction [6, 7].