Log InRegister
Quick Links : The Mindat ManualThe Rock H. Currier Digital LibraryMindat Newsletter [Free Download]
Home PageAbout MindatThe Mindat ManualHistory of MindatCopyright StatusWho We AreContact UsAdvertise on Mindat
Donate to MindatCorporate SponsorshipSponsor a PageSponsored PagesMindat AdvertisersAdvertise on Mindat
Learning CenterWhat is a mineral?The most common minerals on earthInformation for EducatorsMindat ArticlesThe ElementsThe Rock H. Currier Digital LibraryGeologic Time
Minerals by PropertiesMinerals by ChemistryMineral Visual ExplorerAdvanced Locality SearchRandom MineralRandom LocalitySearch by minIDLocalities Near MeSearch ArticlesSearch GlossaryMore Search Options
Search For:
Mineral Name:
Locality Name:
Keyword(s):
 
The Mindat ManualAdd a New PhotoRate PhotosLocality Edit ReportCoordinate Completion ReportAdd Glossary Item
Mining CompaniesStatisticsUsersMineral MuseumsClubs & OrganizationsMineral Shows & EventsThe Mindat DirectoryDevice SettingsThe Mineral QuizTime Machine
Photo SearchPhoto GalleriesSearch by ColorPhoto Colour ExplorerNew Photos TodayNew Photos YesterdayMembers' Photo GalleriesPast Photo of the Day GalleryPhotography

Andrew, Matthew, Thompson, William, Kumar, Arjun, Hornberger, Benjamin (2018) Iterative Reconstruction for Increased Imaging Throughput in Lab-based 3D XRM. Microscopy and Microanalysis, 24. 118-119 doi:10.1017/s1431927618012977

Advanced
   -   Only viewable:
Reference TypeJournal (article/letter/editorial)
TitleIterative Reconstruction for Increased Imaging Throughput in Lab-based 3D XRM
JournalMicroscopy and Microanalysis
AuthorsAndrew, MatthewAuthor
Thompson, WilliamAuthor
Kumar, ArjunAuthor
Hornberger, BenjaminAuthor
Year2018 (August)Volume24
PublisherCambridge University Press (CUP)
DOIdoi:10.1017/s1431927618012977Search in ResearchGate
Generate Citation Formats
Mindat Ref. ID4884875Long-form Identifiermindat:1:5:4884875:2
GUID0
Full ReferenceAndrew, Matthew, Thompson, William, Kumar, Arjun, Hornberger, Benjamin (2018) Iterative Reconstruction for Increased Imaging Throughput in Lab-based 3D XRM. Microscopy and Microanalysis, 24. 118-119 doi:10.1017/s1431927618012977
Plain TextAndrew, Matthew, Thompson, William, Kumar, Arjun, Hornberger, Benjamin (2018) Iterative Reconstruction for Increased Imaging Throughput in Lab-based 3D XRM. Microscopy and Microanalysis, 24. 118-119 doi:10.1017/s1431927618012977
In(2018) Microscopy and Microanalysis Vol. 24. Cambridge University Press (CUP)

See Also

These are possibly similar items as determined by title/reference text matching only.

Andrew, Matthew, Graham, Shaun, Thompson, William (2017) Iterative reconstruction techniques for X-ray microscopy in Geosciences. Microscopy and Microanalysis, 23. 2162-2163 doi:10.1017/s1431927617011473
Andrew, Matthew, Hornberger, Benjamin (2018) Benchmarking of Machine Learning and Conventional Image Segmentation Techniques on 3D X-ray Microscopy Data. Microscopy and Microanalysis, 24. 120-121 doi:10.1017/s1431927618012989
Schmidt, Christian, Kelly, Stephen T. (2018) Lab-based Nanoscale 3D X-Ray Microscopy for Failure Analysis on Advanced Semiconductors. Microscopy and Microanalysis, 24. 198-199 doi:10.1017/s1431927618013338
Fried, G (2007) Displaying High Throughput Imaging with the Virtual Lab. Microscopy and Microanalysis, 13. doi:10.1017/s1431927607079391
Harris, Will, Bale, Hrishikesh, Kelly, Steve, Hornberger, Benjamin (2018) 4D and In Situ X-ray Microscopy for Studying Damage Evolution in Materials Across Multiple Length Scales. Microscopy and Microanalysis, 24. 1010-1011 doi:10.1017/s1431927618005548
Pryor, Alan, Yang, Yongsoo, Rana, Arjun, Gallagher-Jones, Marcus, Zhou, Jihan, Hung Lo, Yuan, Melinte, Georgian, Rodriguez, Jose A., Miao, Jianwei (2017) GENFIRE: A Generalized Fourier Iterative Reconstruction Algorithm for High-Resolution 3D Electron and X-ray Imaging. Microscopy and Microanalysis, 23. 128-129 doi:10.1017/s1431927617001325
Cipiccia, Silvia, Batey, Darren J., Shi, Xiaowen, Price, Stephen, Parsons, Aaron, Wanelik, Kaz, Wilson, Andrew, Crook, Robert, Raja, Robert, Rau, Christoph (2018) An Iterative Self-Absorption Correction Algorithm for 3D Ptycho-Fluorescence Imaging. Microscopy and Microanalysis, 24. 96-97 doi:10.1017/s1431927618012862
Ishikawa, Ryo, Shibata, Naoya, Ikuhara, Yuichi (2018) Surface and Electric Field Imaging by Newly Designed Atomic-Resolution STEM. Microscopy and Microanalysis, 24. 118-119 doi:10.1017/s1431927618001083
Han, Ming, Zhao, Guangming (2018) Identification of SiC Crystals Based on 3D Reconstruction Using EBSD Technique. Microscopy and Microanalysis, 24. 674-675 doi:10.1017/s1431927618003860
Joens, Matthew S., Geanon, Daniel J., Bayguinov, Peter O., Lavine, Kory J., Fitzpatrick, James A.J. (2018) Navigating the Fog: A Correlated XRM and FIB-SEM Imaging Pipeline for the Rapid and Precise Spatial Targeting of Rare Structures in Biological Samples. Microscopy and Microanalysis, 24. 2312-2313 doi:10.1017/s1431927618012047
Hornberger, Benjamin, Jacobsen, Chris, Feser, Michael (2004) Simultaneous Amplitude and Phase Contrast Imaging with a Segmented Detector in Scanning Transmission X-ray Microscopy. Microscopy and Microanalysis, 10. 1034-1035 doi:10.1017/s1431927604880784
 
and/or  
Mindat.org® is an outreach project of the Hudson Institute of Mineralogy, a 501(c)(3) not-for-profit organization. Mindat® and mindat.org® are registered trademarks of the Hudson Institute of Mineralogy.
Copyright © mindat.org and the Hudson Institute of Mineralogy 1993-2026, except where stated. Most political location boundaries are © OpenStreetMap contributors. Mindat.org relies on the contributions of thousands of members and supporters. Founded in 2000 by Jolyon Ralph and Ida Chau.
To cite: Ralph, J., Von Bargen, D., Martynov, P., Zhang, J., Que, X., Prabhu, A., Morrison, S. M., Li, W., Chen, W., & Ma, X. (2025). Mindat.org: The open access mineralogy database to accelerate data-intensive geoscience research. American Mineralogist, 110(6), 833–844. doi:10.2138/am-2024-9486.
Privacy Policy - Terms & Conditions - Contact Us / DMCA issues - Report a bug/vulnerability Current server date and time: June 5, 2026 14:00:35
Go to top of page