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We calculated multiple alpha and beta diversity metrics using tree stem data.
However, we have to be cautious with the interpretation of these component maps because of the way that STEM data is recorded.
Scanning transmission electron microscopy (STEM) data with atomic resolution can contain a large amount of information about the structure of a crystalline material.
Atomic scale STEM data recorded on the electron-transparent lamellae prepared by FIB were complemented with those coming from micron scale analysis performed by different SEM (Scanning Electron Microscopy) techniques combined with digital image analysis.
Similar to an earlier analysis of STEM data, our assumption here is that CITS signal can be represented as a linear superposition of currents flowing through each of the available "channels" during the experiment.
The precision of determining the position of atomic columns is compared between STEM data acquired using standard acquisition, and STEM-images obtained as an image stack averaged after using non-rigid registration.
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In this paper, every G-STEM data set contains a series of twenty frames each acquired with 0.2 s frame time and the maximum frequency of 2 MHz.
Binary presence/absence data of horizontal layering stems data were used to determine odds ratios (odds = eβx) for the presence/absence probability of layering stems related to elapsed time since fire.
By qRT-PCR analyses, increased TNFα and IL-6 mRNA levels were found in untreated 4L C* midbrains (Fig. 7E) and brain stems (data not shown).
An important accumulation of tannins was also observed in other organs of Na2SO4-treated plants (roots, stems) (data not shown).
High levels of fluorescence were also detected in stems (data not shown) and lateral roots (Additional file 1: Figure S1).
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