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Topographical structures of selectively implanted samples were observed using a scanning electron microscope (SEM).
Several concrete examples of dislocation and topographical structures are considered, and results of a "computational diffraction analysis" of each example are discussed.
These results provide insights into the diverse biological effects of the material's topographical structures and open new opportunity for the applications of graphene in neuroscience.
A recently published study by Ung et al. [77] describes the development of a 3D microfluidic chip with topographical structures on top of the microchannel that was used in combination with SAWs to considerably increase the sorting efficiency (see Fig. 3).
In the present paper we use a simple method for the quantitative evaluation of characteristic length scales of some dislocation and surface topographical structures in mechanically deformed metals by means of linear integral transforms (in particular, the Fast Hartley Transform, FHT).
We used a Multi-Architecture (MARC) chip with various topographical structures and identified three topographies, which generate DA neurons from murine hippocampal neural progenitor cells with the highest percentage of neuronal (β-III-tubulin positive) and dopaminergic (tyrosine hydroxylase positive) populations.
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The results show that the frictional behaviour of the investigated model tribosystem is strongly affected by the topographical structure of the contacting surfaces.
However, such an approach requires at least two-steps and does not embed the desired properties as part of the structure itself or create multiple levels of topographical structure.
Quantitative analysis of topographical structure and internal composition for metal organic coordinated multilayers as a function of number of deposited layers has implications for their incorporation in the fields of photonics and nanolithography.
Compared with the rapid-prototyped PCL scaffold, the 3D fibrous scaffold exhibited significantly higher biological activities (initial cell attachment and cell proliferation) due to the topographical structure of micro/nanofibres.
Language may provide a conceptual framework used to interpret the map (e.g., Gentner et al., 2013), it may affect learning strategies, and/or it may align spatial information between the map and the topographical structure represented (e.g., Loewenstein & Gentner, 2005).
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