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Search indexed NASA NTRS and DOE OSTI research on propulsion, heat transfer, battery materials and energy systems. Follow report and document links to the original sources.
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MATBOX: An Open-source Microstructure Analysis Toolbox for microstructure generation, segmentation, characterization, visualization, correlation, and meshing
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Visualizing the Determinants of Viral RNA Recognition by Innate Immune Sensor RIG-I
Abstract not provided
Structural evidence for visual arrestin priming via complexation of phosphoinositols
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Three-dimensional visualization of the Autographa californica multiple nucleopolyhedrovirus occlusion-derived virion envelopment process gives new clues as to its mechanism
Baculoviruses produce two virion phenotypes, occlusion-derived virion (ODV) and budded virion (BV). ODV envelopment occurs in the nucleus. Morphogenesis of the ODV has been studied extensively; however, the mechanisms underlying microvesicle formation and ODV envelopment in nuclei remain unclear. In this study, we used electron tomography (ET) together with the conventional electron microscopy to study the envelopment of Autographa californica multiple nucleopolyhedrovirus (AcMNPV) ODV. Our results demonstrate that not only the inner but also the outer nuclear membrane can invaginate and vesiculate into microvesicles and that intranuclear microvesicles are the direct source of the ODV membrane. Five main events in the ODV envelopment process are summarized, from which we propose a model to explain this process. - Highlights: • Both the inner and outer nuclear membranes could invaginate. • Both the inner and outer nuclear membranes could vesiculate into microvesicles. • Five main events in the ODV envelopment process are summarized. • A model is proposed to explain this ODV envelopment.
CECAV-DNN: Collective Ensemble Comparison and Visualization using Deep Neural Networks
Not Available
3D IMMERSIVE VISUALIZATION OF MICRO-COMPUTED TOMOGRAPHY AND XRD TEXTURE DATASETS.
Abstract not provided.
Visualization of Hierarchical Nanodomains in Polymer/Fullerene Bulk Heterojunction Solar Cells
Here, traditional electron microscopy techniques such as bright-field imaging provide poor contrast for organic films and identification of structures in amorphous material can be problematic, particularly in high-performance organic solar cells. By combining energy-filtered corrected transmission electron microscopy, together with electron energy loss and X-ray energy-dispersive hyperspectral imaging, we have imaged PTB7/ PC 61 BM blended polymer optical photovoltaic films, and were able to identify domains ranging in size from several hundred nanometers to several nanometers in extent. This work verifies that microstructural domains exist in bulk heterojunctions in PTB7/PC 61 BM polymeric solar cells at multiple length scales and expands our understanding of optimal device performance providing insight for the design of even higher performance cells.
Visualization of magnetization in CoFe nanofibers by Lorentz TEM and electron holography
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Visualizing and Quantifying the Cationic Mobility at {100} Surfaces of Ceria: Application to CO 2 Adsorption/Desorption Phenomena in the Environmental Transmission Electron Microscope
Environmental transmission electron microscopy in a dedicated instrument allows ultimate spatial resolution with chemical analysis capabilities similar to high resolution transmission electron microscopes (HRTEMs), while retaining partial pressures up to 20 mbar around the specimen. Finally, such instruments provide an optimized approach to study the early stages of catalytic reactions, which can start from very low partial pressure, at the atomic-scale.
Offshore Wind Turbine Visibility and Visual Impact Threshold Distances
Abstract not provided
GlyQ-IQ: Glycomics Quintavariate-Informed Quantification with High-Performance Computing and GlycoGrid 4D Visualization
Dense LC-MS datasets have convoluted extracted ion chromatograms with multiple chromatographic peaks that cloud the differentiation between intact compounds with their overlapping isotopic distributions, peaks due to insource ion fragmentation, and noise. Making this differentiation is critical in glycomics datasets because chromatographic peaks correspond to different intact glycan structural isomers. The GlyQ-IQ software is targeted chromatography centric software designed for chromatogram and mass spectra data processing and subsequent glycan composition annotation. The targeted analysis approach offers several key advantages to LC-MS data processing and annotation over traditional algorithms. A priori information about the individual target’s elemental composition allows for exact isotope profile modeling for improved feature detection and increased sensitivity by focusing chromatogram generation and peak fitting on the isotopic species in the distribution having the highest intensity and data quality. Glycan target annotation is corroborated by glycan family relationships and in source fragmentation detection. The GlyQ-IQ software is developed in this work (Part 1) and was used to profile N-glycan compositions from human serum LC-MS Datasets. The companion manuscript GlyQ-IQ Part 2 discusses developments in human serum N-glycan sample preparation, glycan isomer separation, and glycan electrospray ionization. A case study is presented to demonstrate how GlyQ-IQ identifies and removes confounding chromatographic peaks from high mannose glycan isomers from human blood serum. In addition, GlyQ-IQ was used to generate a broad N-glycan profile from a high resolution (100K/60K) nESI-LS-MS/MS dataset including CID and HCD fragmentation acquired on a Velos Pro Mass spectrometer. 101 glycan compositions and 353 isomer peaks were detected from a single sample. 99% of the GlyQ-IQ glycan-feature assignments passed manual validation and are backed with high resolution mass spectra and mass accuracies less than 7 ppm.