Scale-dependent roughness parameters for topography analysis

Sanner, Antoine; Nöhring, Wolfram G.; Thimons, Luke A.; Jacobs, Tevis D. B.; Pastewka, Lars

doi:10.1016/j.apsadv.2021.100190

Cited by 15 publications

(18 citation statements)

References 41 publications

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“…However, because many conventional measurements of surface topography do not provide scale-dependent information, it is not clear at this moment which treatments should be applied to modify the roughness at a specific scale. The authors believe further investigation in this vein is warranted, along the lines of refs and . We believe this is the missing piece in the rational design of bioactive surfaces.…”

Section: Resultsmentioning

confidence: 89%

Surface Area and Local Curvature: Why Roughness Improves the Bioactivity of Neural Implants

et al. 2022

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While roughening the surface of neural implants has been shown to significantly improve their performance, the mechanism for this improvement is not understood, preventing systematic optimization of surfaces. Specifically, prior work has shown that the cellular response to a surface can be significantly enhanced by coating the implant surface with inorganic nanoparticles and neuroadhesion protein L1, and this improvement occurs even when the surface chemistry is identical between the nanoparticle-coated and uncoated electrodes, suggesting the critical importance of surface topography. Here, we use transmission electron microscopy to characterize the topography of bare and nanoparticle-coated implants across 7 orders of magnitude in size, from the device scale to the atomic scale. The results reveal multiscale roughness, which cannot be adequately described using conventional roughness parameters. Indeed, the topography is nearly identical between the two samples at the smallest scales and also at the largest scales but vastly different in the intermediate scales, especially in the range of 5−100 nm. Using a multiscale topography analysis, we show that the coating causes a 76% increase in the available surface area for contact and an order-ofmagnitude increase in local surface curvature at characteristic sizes corresponding to specific biological structures. These are correlated with a 75% increase in bound proteins on the surface and a 134% increase in neurite outgrowth. The present investigation presents a framework for analyzing the scale-dependent topography of medical device-relevant surfaces, and suggests the most critical size scales that determine the biological response to implanted materials.

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Section: Resultsmentioning

confidence: 89%

Surface Area and Local Curvature: Why Roughness Improves the Bioactivity of Neural Implants

et al. 2022

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“…As the sampling window increases in the farming direction, although the mean value of RMSH does not show a great difference in value, the standard deviation of the results of 10 samplings gradually decreases, which shows that a larger sampling window can make the calculation results more stable. Many studies have thoroughly discussed the impact of the size of sampling window on the roughness evaluation results, and this study will not be carried out again [34]. Table 1 shows the comparison of RMSH values of different ditching depths before and after wavelet transform.…”

Section: Analysis Of Rmsh Calculation Resultsmentioning

confidence: 99%

Evaluation Method of Soil Surface Roughness after Ditching Operation Based on Wavelet Transform

Liu

Zhang

et al. 2022

Actuators

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Soil surface roughness (SSR) is an important parameter affecting surface hydrology, erosion, gas exchange and other processes. The surface roughness of the farmland environment is directly related to the tillage process. In order to accurately characterize the random roughness (RR) parameters of the surface after ditching, a three-dimensional (3D) digital model of the surface was obtained by laser scanning under the conditions of an indoor ditching test, and the influence of oriented roughness components formed by removing ridge characteristics on the RR of the surface was analyzed by introducing the wavelet processing method. For this reason, four groups of ditching depths and two types of surface conditions (whether the surface was agglomerated or not) were designed in this paper. By comparing the root mean squared height (RMSH) and correlation length (CL) data calculated before and after wavelet processing under each group of tests, it was concluded that the RMSH values of the four groups before and after wavelet processing all change more than 200%, the change amplitude reached 271.02% under the treatment of 12 cm ditching depth, meanwhile, the average CL value of five cross-sections under each group of ditching depths decreased by 1.43–2.28 times, which proves that the oriented roughness component formed by furrows and ridges has a significant influence on the calculation of RR. By further analyzing the roughness value differences of clods and pits in different directions and local areas before and after wavelet transform, it was shown that the wavelet transform can effectively remove the surface anisotropy characteristics formed in the tillage direction and provide a uniform treatment method for the evaluation of surface RR at different ditching depths.

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“…(e) Power spectral density (PSD) of the Vitro-Skin surface, determined from line scans along different surface directions. Solid markers indicate reliable data, while empty markers indicate unreliable data as limited by the tip radius . The isotropic one-dimensional PSD (C 1D ) is defined as given in ref .…”

Section: Methodsmentioning

confidence: 99%

Film-Terminated Fibrillar Microstructures with Improved Adhesion on Skin-like Surfaces

Lana

Zhang

Müller

et al. 2022

ACS Appl. Mater. Interfaces

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Adhesives for interaction with human skin and tissues are needed for multiple applications. Micropatterned dry adhesives are potential candidates, allowing for a conformal contact and glue-free adhesion based on van der Waals interactions. In this study, we investigate the superior adhesion of film-terminated fibrillar microstructures (fibril diameter, 60 μm; aspect ratio, 3) in contact with surfaces of skin-like roughness (Rz 50 μm). Adhesion decays only moderately with increasing roughness, in contrast to unstructured samples. Sinusoidal model surfaces adhere when their wavelengths exceed about four fibril diameters. The film-terminated microstructure exhibits a saturation of the compressive force during application, implying a pressure safety regime protecting delicate counter surfaces. Applications of this novel adhesive concept are foreseen in the fields of wearable electronics and wound dressing.

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Scale-dependent roughness parameters for topography analysis

Cited by 15 publications

References 41 publications

Surface Area and Local Curvature: Why Roughness Improves the Bioactivity of Neural Implants

Surface Area and Local Curvature: Why Roughness Improves the Bioactivity of Neural Implants

Evaluation Method of Soil Surface Roughness after Ditching Operation Based on Wavelet Transform

Film-Terminated Fibrillar Microstructures with Improved Adhesion on Skin-like Surfaces

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