6,221 to 6,230 of 11,633 Results
Unknown - 6.5 KB -
MD5: 91889f628c8e9ac17f95405f77e209ec
Loads data from files or models. |
Unknown - 19.2 KB -
MD5: be2e2f29bab8bf1650c7121a0919feca
Contains the main «E3Dvar» function which calculates all article plots. |
Unknown - 33.0 KB -
MD5: 42b802b925ef6b6c4a044e51535ab2f1
Finds measurement uncertainties of a ISR: in the ACF and plasmaparameters. |
Unknown - 3.2 KB -
MD5: f2cc5c0873b0cec38b8b9776754e7f85
Contains some practic functions. From these, only vnorm2 (calculates vector norms) and diagstack (stacks matrices along the diagonal) are used. |
Unknown - 6.1 KB -
MD5: e351ca7fd75d98c5f3ced26101c4e149
Calculates signal and noise power of an ISR experiment |
Plain Text - 278 B -
MD5: 902af0d95968a6d2316e4afd4c97bdfb
Example of an neutral wind profile. Based on the Joule II data as shown in Sangalli (2009) |
Oct 1, 2021
Butola, Ankit, 2021, "Multi-modal on-chip nanoscopy and quantitative phase imaging reveals the nanoscale morphology of liver sinusoidal endothelial cells", https://doi.org/10.18710/AWRGH1, DataverseNO, V1
Visualization of 3D morphological changes in the subcellular structures of a biological specimen is a major challenge in life science. Despite conspicuous refinements in optical nanoscopy, the determination of quantitative changes in subcellular structures, i.e., size and thickness, remains elusive. We present an integrated chip-based optical nanos... |
Plain Text - 5.5 KB -
MD5: ae85e92c0f10a23b8a39702d15b02d76
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TIFF Image - 95.4 MB -
MD5: ccbd0b2f4b03c2c268caea2ad0b1374f
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TIFF Image - 95.4 MB -
MD5: 98ff43eab29b73d883b187c759d294bc
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