Assessment of engineered surfaces roughness by high-resolution 3D SEM photogrammetry

Gontard, Lionel C.; López-Castro, Juan de Dios; González-Rovira, L.; Salguero, Jorge; Varela‐Feria, F. M.; Marcos, M.; Calvino, José J.

doi:10.1016/j.ultramic.2017.03.007

Cited by 17 publications

(8 citation statements)

References 18 publications

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“…Next, from the point cloud the continuous surface was recalculated using the Matlab function TriScatteredInterp (x , y , z) . The surface was then reprojected in the z -direction to obtain an elevation map or 2D heights map 7 . Finally, the parameters for rugosity were calculated using the following definitions, with n the number of points of the heights map and z i the height at point i .…”

Section: Methodsmentioning

confidence: 99%

“…Photogrammetry is a non-destructive technique used with optical or SEM images to reconstruct the external shape and texture of an object albeit at the cost of not reconstructing the inner part of the sample 3 – 6 . In multi-view photogrammetry (MVP), collections of images acquired from multiple viewpoints can be combined using robust algorithms to extract corresponding common features in image pairs and to build a 3D point cloud gathering millions of surface points 5 – 7 . Then, these points are triangulated to form a 3D mesh of the surface enclosing the volume of the object that is wrapped with the texture of intensities of the original images.…”

Section: Introductionmentioning

confidence: 99%

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Three-dimensional chemical mapping using non-destructive SEM and photogrammetry

Gontard¹,

Batista

Salguero

et al. 2018

Sci Rep

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The slice and view approach in electron microscopy defines an ensemble of destructive techniques that is widely used for studying in 3D the structure and chemistry of samples with dimensions ranging from µm to mm. Here, a method is presented for measuring with high resolution and quantitatively the morphology and chemical composition of the surface of a sample in 3D. It is non-destructive and therefore, it is complementary to slice and view methods. The scheme is based on the fusion of conventional scanning electron microscopy (SEM) imaging, multi-view photogrammetry and compositional mapping using energy dispersive X-ray spectroscopy (EDXS). We demonstrate its potential by performing an accurate study of adhesion wear of a tungsten carbide tool that is difficult to obtain using conventional characterization techniques.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Three-dimensional chemical mapping using non-destructive SEM and photogrammetry

Gontard¹,

Batista

Salguero

et al. 2018

Sci Rep

View full text Add to dashboard Cite

show abstract

“…A typical SEM device can tilt the sample from −5° to 70°, which in some cases can be insufficient. However, Gontard and co. [ 44 ] show how to overcome this problem by acquiring a series of images from positive angles, then plane rotating the sample and acquiring tilted images in the opposite direction. A faster method of 3D reconstruction of SEM images was proposed by Sartipi and co. [ 45 ].…”

Section: Introductionmentioning

confidence: 99%

The Proposal and Necessity of the Numerical Description of Nano- and Microplastics’ Surfaces (Plastisphere)

2021

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The constantly growing amount of synthetic materials < 5 mm, called microplastics (MPs), is fragmented in the environment. Thus, their surface, Plastisphere, is substantially increasing forming an entirely new ecological niche. It has already been extensively studied by microbiologists observing the biofilm and by material scientists interested in the weathering of polymer materials. This paper aims to construct a bridge between the physical and chemical description of the Plastisphere and its microbiological and ecological significance. Various algorithms, based on the analysis of pictures obtained by scanning electron microscopy (SEM), are proposed to describe in detail the morphology of naturally weathered polymers. In particular, one can study the size and distribution of fibres in a standard filter, search the synthetic debris for mapping, estimate the grain size distribution, quantitatively characterize the different patterns of degradation for polymer spheres and ghost nets, or calculate the number of pores per surface. The description and visualization of a texture, as well as the classification of different morphologies present on a surface, are indispensable for the comprehensive characterization of weathered polymers found inside animals (e.g., fishes). All these approaches are presented as case studies and discussed within this work.

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“…They do contain some information related to the third dimension which cannot be extracted in a simple way. Fortunately, a few nondestructive approaches for recovering the third dimension (depth or height) have already been developed, including a model-based library (MBL) SEM method (Villarrubia et al, 2005), a shape-from-shading method (Drzazga et al, 2006), tilt-beam CD-SEM (Su et al, 2000; Zhang et al, 2014) and several variants of SEM 3D reconstruction from two or more viewpoints generated by tilting the sample or the beam (Xie, 2011; Eulitz & Reiss, 2015; Tafti et al, 2015; Gontard et al, 2016, 2017). This article concerns hurdles and opportunities in SEM-based 3D nanometrology using as examples methods from the last group, in which the inputs are two or three images obtained by altering the sample tilt.…”

Section: Introductionmentioning

confidence: 99%

Three-Dimensional (3D) Nanometrology Based on Scanning Electron Microscope (SEM) Stereophotogrammetry

2017

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Three-dimensional (3D) reconstruction of a sample surface from scanning electron microscope (SEM) images taken at two perspectives has been known for decades. Nowadays, there exist several commercially available stereophotogrammetry software packages. For testing these software packages, in this study we used Monte Carlo simulated SEM images of virtual samples. A virtual sample is a model in a computer, and its true dimensions are known exactly, which is impossible for real SEM samples due to measurement uncertainty. The simulated SEM images can be used for algorithm testing, development, and validation. We tested two stereophotogrammetry software packages and compared their reconstructed 3D models with the known geometry of the virtual samples used to create the simulated SEM images. Both packages performed relatively well with simulated SEM images of a sample with a rough surface. However, in a sample containing nearly uniform and therefore low-contrast zones, the height reconstruction error was ≈46%. The present stereophotogrammetry software packages need further improvement before they can be used reliably with SEM images with uniform zones.

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Assessment of engineered surfaces roughness by high-resolution 3D SEM photogrammetry

Cited by 17 publications

References 18 publications

Three-dimensional chemical mapping using non-destructive SEM and photogrammetry

Three-dimensional chemical mapping using non-destructive SEM and photogrammetry

The Proposal and Necessity of the Numerical Description of Nano- and Microplastics’ Surfaces (Plastisphere)

Three-Dimensional (3D) Nanometrology Based on Scanning Electron Microscope (SEM) Stereophotogrammetry

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