3D shape and morphology characterization of sediment particles

Fang, Hong Wei; Zhao, Hui; Chen, Zhi He; Chen, Ming Hong; Zhang, Yue Feng

doi:10.1007/s10035-014-0545-x

Cited by 14 publications

(1 citation statement)

References 27 publications

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“…The scanning electron microscope (SEM) is a common tool that is used for analysation purposes in the fields of biomedical, mechanical and material sciences [ 1 , 2 , 3 ]. To generate images, an electron beam scans the surface of a specimen in a raster scan pattern.…”

Section: Introductionmentioning

confidence: 99%

Quantitative 3D Reconstruction from Scanning Electron Microscope Images Based on Affine Camera Models

Töberg

Reithmeier

2020

Sensors

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Scanning electron microscopes (SEMs) are versatile imaging devices for the micro- and nanoscale that find application in various disciplines such as the characterization of biological, mineral or mechanical specimen. Even though the specimen’s two-dimensional (2D) properties are provided by the acquired images, detailed morphological characterizations require knowledge about the three-dimensional (3D) surface structure. To overcome this limitation, a reconstruction routine is presented that allows the quantitative depth reconstruction from SEM image sequences. Based on the SEM’s imaging properties that can be well described by an affine camera, the proposed algorithms rely on the use of affine epipolar geometry, self-calibration via factorization and triangulation from dense correspondences. To yield the highest robustness and accuracy, different sub-models of the affine camera are applied to the SEM images and the obtained results are directly compared to confocal laser scanning microscope (CLSM) measurements to identify the ideal parametrization and underlying algorithms. To solve the rectification problem for stereo-pair images of an affine camera so that dense matching algorithms can be applied, existing approaches are adapted and extended to further enhance the yielded results. The evaluations of this study allow to specify the applicability of the affine camera models to SEM images and what accuracies can be expected for reconstruction routines based on self-calibration and dense matching algorithms.

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Section: Introductionmentioning

confidence: 99%

Quantitative 3D Reconstruction from Scanning Electron Microscope Images Based on Affine Camera Models

Töberg

Reithmeier

2020

Sensors

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Surface Micro-morphology and Adsorption Properties of Sediment Particles

Fang

Huang

Zhao

et al. 2020

Mechanics of Bio-Sediment Transport

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Phosphorus adsorption on natural sediments with different pH incorporating surface morphology characterization

Huang

Fang

et al. 2016

Environ Sci Pollut Res

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Sediment samples from University Lake (U.L.) and Anacostia River (A.R.) were collected to study the phosphorus (P) adsorption with pH at 3.65, 4.75, and 5.65. The surface micro-morphology and pore structures of sediment particles were obtained using a scanning electron microscopy and gas adsorption method, respectively. Fourier analysis was then applied to approximate the surface morphology, which was incorporated into the Langmuir isotherm to directly derive the model parameters for P adsorption simulation. Meanwhile, an empirical function of pH was introduced to represent the pH effect on P adsorption. A stronger P adsorption was observed for the A.R. sediment due to the more clay minerals, smaller median diameter, and a greater percentage of large pores, and the increasing pH resulted in a decrease of adsorption equilibrium constant as well as the P adsorption capacity, which was well reproduced by the adsorption isotherms. This study would benefit the mechanism study of the interactions between sediment particles and pollutants, providing references for understanding the pollutants' transport in aqueous systems.

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3D shape and morphology characterization of sediment particles

Cited by 14 publications

References 27 publications

Quantitative 3D Reconstruction from Scanning Electron Microscope Images Based on Affine Camera Models

Quantitative 3D Reconstruction from Scanning Electron Microscope Images Based on Affine Camera Models

Surface Micro-morphology and Adsorption Properties of Sediment Particles

Phosphorus adsorption on natural sediments with different pH incorporating surface morphology characterization

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