Simulation of high-resolution test objects using non-isocentric acquisition geometries in next-generation digital tomosynthesis

Author(s):  
Trevor L. Vent ◽  
Bruno Barufaldi ◽  
Raymond J. Acciavatti ◽  
Andrew Maidment
Author(s):  
Sumio Iijima

We have developed a technique to prepare thin single crystal films of graphite for use as supporting films for high resolution electron microscopy. As we showed elsewhere (1), these films are completely noiseless and therefore can be used in the observation of phase objects by CTEM, such as single atoms or molecules as a means for overcoming the difficulties because of the background noise which appears with amorphous carbon supporting films, even though they are prepared so as to be less than 20Å thick. Since the graphite films are thinned by reaction with WO3 crystals under electron beam irradiation in the microscope, some small crystallites of WC or WC2 are inevitably left on the films as by-products. These particles are usually found to be over 10-20Å diameter but very fine particles are also formed on the film and these can serve as good test objects for studying the image formation of phase objects.


2018 ◽  
Vol 6 (5) ◽  
pp. e01154
Author(s):  
Nélida Padilla-García ◽  
Teresa Malvar-Ferreras ◽  
Josie Lambourdière ◽  
M. Montserrat Martínez-Ortega ◽  
Nathalie Machon

PLoS ONE ◽  
2009 ◽  
Vol 4 (1) ◽  
pp. e4108 ◽  
Author(s):  
Shin-ichi Hashimoto ◽  
Wei Qu ◽  
Budrul Ahsan ◽  
Katsumi Ogoshi ◽  
Atsushi Sasaki ◽  
...  

2021 ◽  
Author(s):  
Helgi Hilmarsson ◽  
Arvind S. Kumar ◽  
Richa Rastogi ◽  
Carlos D. Bustamante ◽  
Daniel Mas Montserrat ◽  
...  

ABSTRACTAs genome-wide association studies and genetic risk prediction models are extended to globally diverse and admixed cohorts, ancestry deconvolution has become an increasingly important tool. Also known as local ancestry inference (LAI), this technique identifies the ancestry of each region of an individual’s genome, thus permitting downstream analyses to account for genetic effects that vary between ancestries. Since existing LAI methods were developed before the rise of massive, whole genome biobanks, they are computationally burdened by these large next generation datasets. Current LAI algorithms also fail to harness the potential of whole genome sequences, falling well short of the accuracy that such high variant densities can enable. Here we introduce Gnomix, a set of algorithms that address each of these points, achieving higher accuracy and swifter computational performance than any existing LAI method, while also enabling portable models that are particularly useful when training data are not shareable due to privacy or other restrictions. We demonstrate Gnomix (and its swift phase correction counterpart Gnofix) on worldwide whole-genome data from both humans and canids and utilize its high resolution accuracy to identify the location of ancient New World haplotypes in the Xoloitzcuintle, dating back over 100 generations. Code is available at https://github.com/AI-sandbox/gnomix.


2009 ◽  
Vol 18 (10) ◽  
pp. 1997-2002
Author(s):  
◽  
PATRICIA ROUSSEL-CHOMAZ ◽  
HERVE SAVAJOLS

By the very nature of secondary beams, their intensity is limited, particularly for beams of the highest interest - farthest away from stability. Active targets, which can be described as time projection chamber (TPC)-like detectors in which the detector gas is the target, have been shown to have the highest sensitivity for quantitative high resolution studies of rare events. The physics cases that can be addressed with these devices are reviewed and some of the first results obtained with first generation active targets are detailed. Finally some general ideas on the next generation of active targets are presented.


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