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 ChemistryAdvanced 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 Quiz
Photo SearchPhoto GalleriesSearch by ColorNew Photos TodayNew Photos YesterdayMembers' Photo GalleriesPast Photo of the Day GalleryPhotography

Tylko, Grzegorz (2013) Analysis of Biologically-Derived Small Particles—Searching for Geometry Correction Factors Using Monte Carlo Simulation. Microscopy and Microanalysis, 19 (1). 56-65 doi:10.1017/s1431927612013803

Advanced
   -   Only viewable:
Reference TypeJournal (article/letter/editorial)
TitleAnalysis of Biologically-Derived Small Particles—Searching for Geometry Correction Factors Using Monte Carlo Simulation
JournalMicroscopy and Microanalysis
AuthorsTylko, GrzegorzAuthor
Year2013 (February)Volume19
Issue1
PublisherCambridge University Press (CUP)
DOIdoi:10.1017/s1431927612013803Search in ResearchGate
Generate Citation Formats
Mindat Ref. ID4865455Long-form Identifiermindat:1:5:4865455:1
GUID0
Full ReferenceTylko, Grzegorz (2013) Analysis of Biologically-Derived Small Particles—Searching for Geometry Correction Factors Using Monte Carlo Simulation. Microscopy and Microanalysis, 19 (1). 56-65 doi:10.1017/s1431927612013803
Plain TextTylko, Grzegorz (2013) Analysis of Biologically-Derived Small Particles—Searching for Geometry Correction Factors Using Monte Carlo Simulation. Microscopy and Microanalysis, 19 (1). 56-65 doi:10.1017/s1431927612013803
In(2013, February) Microscopy and Microanalysis Vol. 19 (1) Cambridge University Press (CUP)

See Also

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

Attarian Shandiz, M., Salvat, F., Gauvin, R. (2013) Fine Structure of Core Loss Excitations in EELS by Monte Carlo Simulation. Microscopy and Microanalysis, 19. 366-367 doi:10.1017/s1431927613003826
Demers, H, Gauvin, R (2007) A General X-ray Fluorescence Correction for Electron Microanalysis by Monte Carlo Simulations. Microscopy and Microanalysis, 13. doi:10.1017/s1431927607072650
Meyer, S., Fraundorf, P. (2013) Geometry vs. Paint Models of Lattice Fringe Visibility for FCC Particles. Microscopy and Microanalysis, 19. 804-805 doi:10.1017/s1431927613006016
Callahan, P., De Graef, M. (2013) Merging Monte Carlo and Dynamical EBSD Simulations. Microscopy and Microanalysis, 19. 726-727 doi:10.1017/s143192761300562x
Hwang, J., Melgarejo, Z.H., Kalay, Y.E., Kramer, M.J., Stone, D.S., Voyles, P.M. (2013) Computational Structure Refinement by Hybrid Reverse Monte Carlo Simulation Incorporating Fluctuation Electron Microscopy. Microscopy and Microanalysis, 19. 794-795 doi:10.1017/s1431927613005965
Pinard, P.T., Demers, H., Gauvin, R., Richter, S. (2013) pyMonteCarlo: A Common Programming Interface for Running Identical Simulations using Different Monte Carlo Programs. Microscopy and Microanalysis, 19. 822-823 doi:10.1017/s1431927613006107
Tao, Xiaodong, Eades, Alwyn (2004) Monte Carlo Simulation for Electron Backscattering Diffraction. Microscopy and Microanalysis, 10. 940-941 doi:10.1017/s143192760488245x
Winkelmann, A., Salvat-Pujol, F., Werner, W. (2013) Monte Carlo Simulations for Applications in Electron Backscatter Diffraction. Microscopy and Microanalysis, 19. 738-739 doi:10.1017/s1431927613005680
Salvat, F, Llovet, X (2006) Monte Carlo Simulation of EPMA Measurements on Complex Specimens Using PENELOPE. Microscopy and Microanalysis, 12. 846-847 doi:10.1017/s1431927606064804
Pinard, PT, Demers, H, Salvat, F, Gauvin, R (2010) An API/GUI for Monte Carlo simulation of EPMA spectra using PENELOPE. Microscopy and Microanalysis, 16. 280-281 doi:10.1017/s1431927610059222
Armigliato, Aldo, Rosa, Rodolfo (2009) X-Ray Microanalysis Combined with Monte Carlo Simulation for the Analysis of Layered Thin Films: The Case of Carbon Contamination. Microscopy and Microanalysis, 15 (2). 99-105 doi:10.1017/s1431927609090199
 
and/or  
Mindat.org is an outreach project of the Hudson Institute of Mineralogy, a 501(c)(3) not-for-profit organization.
Copyright © mindat.org and the Hudson Institute of Mineralogy 1993-2025, 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.
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: August 29, 2025 19:58:48
Go to top of page