3 research outputs found
Structure of the Golgi apparatus in hippocampal neurons of ΔE-torsinA knock-in mice, as analyzed using the 3-image average method.
No full textConfocal fluorescence microscopy of cultured neurons at 17–19 DIV. A: Representative confocal image of a WT neuron stained with BODIPY FL C5-ceramide (left). Thresholded image is shown in binary format (middle). The ROI used to measure the somatic area is overlaid on the image (right). B: Representative confocal images of neurons of the WT, HET and HOM genotypes. An optical section is shown (Single), as a comparison for an image averaged from 3 sections used for analyses. C: Quantitative analysis of measured parameters. Total fluorophore (BODIPY FL C5-ceramide) was calculated as (area) × (averaged intensity / pixel). Columns represent the means and the bars represent standard errors of the mean (SEM). There was no statistical significance (NS) in the values measured for mutants vs. WT (p>0.1; t-test; n = 20, 26, 18 neurons for WT, HET and HOM, respectively).</p
Influence of a velocity model and source frequency on microseismic waveforms: some implications for microseismic locations
No full textIn this paper, we examine the influence of a velocity model and microseismic source frequency on microseismic waveforms and event locations. Finite-difference waveform synthetics are generated based on the Cotton Valley hydraulic fracture experiment, where we vary the vertical heterogeneity of the velocity models as well as the microseismic source frequencies. We find that differences between plausible velocity models lead to changes in arrival times of approximately 0.0035 seconds for P-waves and 0.0085 seconds for S-waves. Based on the average P- and S-wave velocities, the difference in the P- and S-wave traveltimes is equivalent to approximately 20 m in location difference. Significant increases in the waveform coda develop with increasing model heterogeneity and increasing source frequency. The presence of signal noise as well as other sources of error (e.g., uncertainty in geophone location) will likely lead to further increase in uncertainty in location error estimates. Thus we note that location error due to incorrect velocity models cannot be ignored
Supplemental material for Development and preliminary results of an Electronic Medical Record (EMR)-integrated smartphone telemedicine program to deliver asthma care remotely
No full textSupplemental Material for Development and preliminary results of an Electronic Medical Record (EMR)-integrated smartphone telemedicine program to deliver asthma care remotely by Jennifer R Mammen, James J Java, Jill Halterman, Marc N Berliant, Amber Crowley, Sean M Frey, Marina Reznik, Jonathan M Feldman, Judith D Schoonmaker and Kimberly Arcoleo in Journal of Telemedicine and Telecare</p
