Zobrazeno 1 - 10
of 36
pro vyhledávání: '"Nicolas Piché"'
Autor:
Trushal Sardhara, Roland C. Aydin, Yong Li, Nicolas Piché, Raynald Gauvin, Christian J. Cyron, Martin Ritter
Publikováno v:
Frontiers in Materials, Vol 9 (2022)
Focused ion beam (FIB) tomography is a destructive technique used to collect three-dimensional (3D) structural information at a resolution of a few nanometers. For FIB tomography, a material sample is degraded by layer-wise milling. After each layer,
Externí odkaz:
https://doaj.org/article/61493985d6f6405697fe2bbc44e41b82
Autor:
Natalie Reznikov, Ammar A. Alsheghri, Nicolas Piché, Mathieu Gendron, Catherine Desrosiers, Ievgeniia Morozova, Juan Manuel Sanchez Siles, David Gonzalez-Quevedo, Iskandar Tamimi, Jun Song, Faleh Tamimi
Publikováno v:
Bone Reports, Vol 12, Iss , Pp 100264- (2020)
Bone is a hierarchically organized biological material, and its strength is usually attributed to overt factors such as mass, density, and composition. Here we investigate a covert factor – the topological blueprint, or the network organization pat
Externí odkaz:
https://doaj.org/article/75b502d1e16541369eee2c87c516a6ce
Autor:
Peng Dong, Hui Yuan, Ali Allahverdi, Jatheeshan Raveenthiran, Nicolas Piché, Benjamin Provencher, Nabil D. Bassim
Publikováno v:
Journal of Microscopy. 287:19-31
The visualisation and quantification of pore networks and main phases have been critical research topics in cementitious materials as many critical mechanical and chemical properties and infrastructure reliability rely on these 3D characteristics. In
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1fef4c9b4ab8243f72fe065652053cd7
https://doi.org/10.1111/jmi.13105
https://doi.org/10.1111/jmi.13105
Publikováno v:
American Journal of Biological Anthropology. 177:566-580
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c3da2dc06fc3e612963722deeacd2377
https://doi.org/10.1002/ajpa.24474
https://doi.org/10.1002/ajpa.24474
Autor:
S. Brahimi, Jun Song, Nicolas Piché, Raynald Gauvin, Evelin Barbosa de Melo, Nicolas Brodusch, Stephen Yue
Publikováno v:
Scanning
Scanning, Vol 2021 (2021)
Scanning, Vol 2021 (2021)
The microstructures of quenched and tempered steels have been traditionally explored by transmission electron microscopy (TEM) rather than scanning electron microscopy (SEM) since TEM offers the high resolution necessary to image the structural detai
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::17cff4a192a59ab4b983184ba75b5180
https://doi.org/10.1155/2021/5511618
https://doi.org/10.1155/2021/5511618
Automated segmentation of computed tomography images of fiber-reinforced composites by deep learning
Autor:
Zacharie Legault, Benjamin Provencher, Ruslana Makovetsky, David B. Marshall, Nicolas Piché, Mike Marsh, Aly Badran
Publikováno v:
Journal of Materials Science. 55:16273-16289
A deep learning procedure has been examined for automatic segmentation of 3D tomography images from fiber-reinforced ceramic composites consisting of fibers and matrix of the same material (SiC), and thus identical image intensities. The analysis use
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::da5dfe7b10ef39c56ed8c4101a75932b
https://doi.org/10.1007/s10853-020-05148-7
https://doi.org/10.1007/s10853-020-05148-7
Publikováno v:
Microscopy Today. 28:40-44
Monte Carlo simulations are commonly used in elemental quantification using energy-dispersive spectroscopy (EDS). Here, the Monte Carlo program MC X-ray was incorporated into the image processing software Dragonfly by Object Research Systems (ORS) as
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a08ddce206c6a37a42929a65bfea7b32
https://doi.org/10.1017/s1551929520001315
https://doi.org/10.1017/s1551929520001315
Autor:
Hanmi Xi, Xiangyu Ma, Mike Marsh, Robert E.A. Williams, Nicolas Piché, Nada Kittikunakorn, Bradley Sorman, Arthur Mongeau, Daniel Skomski, Antong Chen
Publikováno v:
Microscopy and Microanalysis. 26:1606-1609
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ca245fcb5dbffcdf7b9695653b6aed61
https://doi.org/10.1017/s1431927620018693
https://doi.org/10.1017/s1431927620018693
Autor:
Karl J. Jepsen, Daniella M. Patton, Rob W. Goulet, Nicolas Piché, Mike Marsh, Todd L. Bredbenner, Erin M.R. Bigelow, Benjamin Provencher, Sean K. Carroll, Emilie N. Henning
Segmenting bone from background is required to quantify bone architecture in computed tomography (CT) image data. A deep learning approach using convolutional neural networks (CNN) is a promising alternative method for automatic segmentation. The stu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::af86a56820746e70d846b36c76eb56db
https://doi.org/10.1101/2021.07.27.453890
https://doi.org/10.1101/2021.07.27.453890
Autor:
Yu Yuan, Samantha Rudinsky, Mathieu Gendron, Nicolas Brodusch, Raynald Gauvin, Hendrix Demers, Nicolas Piché, Eric Yen, Sabrina Clusiau
Publikováno v:
Microscopy and Microanalysis. 26:500-502
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0a2cf4d9a3b68a2de1019617dd77fc33
https://doi.org/10.1017/s1431927620014865
https://doi.org/10.1017/s1431927620014865