To test the proposed idea we have chosen a well-known sample structure in advance.
Nutation curves of the sample structured in different patterns demonstrate the impact of patterning on the spin excitation uniformity.
The scattered light from each sample point interferes with others within a certain coherence area, thus encoding the sample structure in the signal intensity measured by the detector.
To maintain sample structure in the dry state, we froze the rehydrated scaffolds at −80 °C and lyophilized them for 12 h prior to imaging.
We note that while the broad GIWAXS scattering peaks do not allow precise structural assignments, distinct peaks observed for different species enable us to determine the predominant sample structure in real time.
The approach we present provides a useful analogue to methods that cluster tips on a phylogeny [ 11], from a bottom-up (samples into multiple clusters) rather than top-down (merging phylogenetic and phylogeographic methods) perspective for estimating sample structure in, amongst others, genotypic or phenotypic [ 7] or geographical [ 64] space.
Based on the ESDC structure, different sampling structures in a DFB laser array can also be obtained by stepping the sampling periods; therefore, multi-wavelength laser array can be designed and fabricated, which would simplify the fabrication process, and may be more suitable for the high precision and massive fabrication of DFB laser and laser array with reduced spatial hole burning.
Moreover, the comparison of the SM core and MM inner cladding signals showed, in biological samples, structures in the MM inner cladding signal not identifiable in the SM core signal due to higher speckle contrast.
For the analyses, we use the ado PIAACtools, accounting for the complex sampling structure in PIAAC.7.
As a consequence, providing complete information about the sampling structure in a compact and comparable format across all countries is problematic.
