3D Reconstruction and Visualization of Microstructure Surfaces from 2D Images

Samak, D.; Fischer, Anath; Rittel, D.

doi:10.1016/j.cirp.2007.05.036

Cited by 46 publications

(25 citation statements)

References 15 publications

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“…Although direct measurement techniques such as SEM and AFM can be applied to determine the morphology changes of several microstructures (Ghisleni et al, ; Kawasaki et al, ; Zhu, Zhang, & Zhao, ), they are commonly hard to perform and it takes a lot of time. Furthermore, the continuous irregular ordering of the microstructure throughout the real sample make simulation more practical; since simulations methods do not require any additional experiments to iterate the mechanical properties or boundary conditions (Samak, Fischer, & Rittel, ; Yuan, Lee, & Guilkey, ).…”

Section: Simulationsmentioning

confidence: 99%

Finite element simulation based‐on atomic force microscopy and nanoindentation for spruce wood microstructure analysis

Torres-Torres

Torres²,

García‐García

2018

Microscopy Res & Technique

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Spruce wood (picea abis) has been widely used as structural element, from buildings to musical instruments, due to its outstanding mechanical performances. The main stem transverse section exhibits growth rings formed by periodic fringes patterns, which are constituted by lamellae‐tracheid arrangements. In order to improve the understanding of each wood microstructure role, the morphology and crystallinity of earlywood and latewood fibers were examined mainly using scanning electron microscopy, atomic force microscopy, and X‐ray difracction. Moreover, measurements of effective elastic modulus and hardness were obtained by nanoindentation tests using a Berkovich indenter in order to confirmed increase in compactness of the wood microstructures. The results indicate that variations in mechanical properties values can be associated with well defined microstructural performances for each characteristic fiber type, where those that belong to latewood fiber showed the most improved behaviors. A finite element simulation of a lamellar‐tracheids arrangement was carried out in order to clarify its stiffness and elastic deformation capabilities, as relevant factors contributing to the successful adaptation of picea abis colonies to harsh conditions habitats as well as for its construction applications of string instruments.

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Section: Simulationsmentioning

confidence: 99%

Finite element simulation based‐on atomic force microscopy and nanoindentation for spruce wood microstructure analysis

Torres-Torres

Torres²,

García‐García

2018

Microscopy Res & Technique

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“…To determine the three-dimensional structure of pipette tips, the SEM stereoscopic technique [11][12][13] is used. The stereoscopic technique scans the same area of the object from different angles by tilting the object with respect to the electron beam.…”

Section: Sem Stereoscopic Techniquementioning

confidence: 99%

Effect of Roughness on Gigaseal Formation

Malboubi

Jiang

2013

Gigaseal Formation in Patch Clamping

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“…The work implemented novel solutions including a neural adaptive points matching technique to tackle the problem of dense 3D reconstruction. Samak et al [29] developed a SfM-based algorithm to restore 3D surface model of SEM micrographs. The proposed method initialized a set of 3D points from 2D corresponding points and then triangulated the obtained 3D points into the 3D surface mesh with a mapped texture on the shape model.…”

Section: Introductionmentioning

confidence: 99%

Three-dimensional reconstruction of highly complex microscopic samples using scanning electron microscopy and optical flow estimation

et al. 2017

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Scanning Electron Microscope (SEM) as one of the major research and industrial equipment for imaging of micro-scale samples and surfaces has gained extensive attention from its emerge. However, the acquired micrographs still remain two-dimensional (2D). In the current work a novel and highly accurate approach is proposed to recover the hidden third-dimension by use of multi-view image acquisition of the microscopic samples combined with pre/post-processing steps including sparse feature-based stereo rectification, nonlocal-based optical flow estimation for dense matching and finally depth estimation. Employing the proposed approach, three-dimensional (3D) reconstructions of highly complex microscopic samples were achieved to facilitate the interpretation of topology and geometry of surface/shape attributes of the samples. As a byproduct of the proposed approach, high-definition 3D printed models of the samples can be generated as a tangible means of physical understanding. Extensive comparisons with the state-of-the-art reveal the strength and superiority of the proposed method in uncovering the details of the highly complex microscopic samples.

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3D Reconstruction and Visualization of Microstructure Surfaces from 2D Images

Cited by 46 publications

References 15 publications

Finite element simulation based‐on atomic force microscopy and nanoindentation for spruce wood microstructure analysis

Finite element simulation based‐on atomic force microscopy and nanoindentation for spruce wood microstructure analysis

Effect of Roughness on Gigaseal Formation

Three-dimensional reconstruction of highly complex microscopic samples using scanning electron microscopy and optical flow estimation

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