Difference between revisions of "PMID:19041401"
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+ | {| id="H50574e40cb59f" class=" tableEdit PMID_info_table" | ||
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+ | !align=left |Citation | ||
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+ | '''Krzyzánek, V , Müller, SA , Engel, A and Reichelt, R ''' (2009) MASDET-A fast and user-friendly multiplatform software for mass determination by dark-field electron microscopy. ''J. Struct. Biol.'' '''165''':78-87 | ||
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+ | !align=left |Abstract | ||
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+ | Electron microscopy has been used to measure the mass of biological nanoparticles since the early 60s, and is the only way to obtain the mass of large structures or parameters such as the mass-per-length of filaments. The ability of this method to sort heterogeneous samples both in terms of mass and shape promises to make it a key tool for proteomics down to the single cell level. A new multiplatform software package, MASDET, that can be run under MATLAB or as a standalone program is described. Based on a user-friendly graphical interface MASDET streamlines mass evaluation and greatly increases the speed of required optimisation procedures. Importantly, the immediate application of Monte-Carlo simulations to describe multiple scattering is possible, allowing the mass analysis of thicker samples and the generation of mass thickness maps. | ||
+ | |- | ||
+ | !align=left |Links | ||
+ | || | ||
+ | [http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=pubmed&dopt=Abstract&list_uids=19041401 PubMed] | ||
+ | Online version:[http://dx.doi.org/10.1016/j.jsb.2008.10.006 10.1016/j.jsb.2008.10.006] | ||
+ | |- | ||
+ | !align=left |Keywords | ||
+ | || | ||
+ | Computer Graphics; Computers; Data Interpretation, Statistical; Deinococcus/metabolism; Electrons; Image Processing, Computer-Assisted; Microscopy, Electron/methods; Models, Statistical; Molecular Weight; Monte Carlo Method; Proteomics/methods; Reproducibility of Results; Scattering, Radiation; Software; User-Computer Interface | ||
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+ | <!--box uid=d41d8cd98f00b204e9800998ecf8427e.3434.H50574e40cb59f--> | ||
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+ | ==Main Points of the Paper == | ||
+ | {{LitSignificance}} | ||
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+ | == Materials and Methods Used == | ||
+ | {{LitMaterials}} | ||
+ | |||
+ | ==Phenotype Annotations== | ||
+ | {{AnnotationTableHelp}} | ||
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+ | !|Phenotype of!!Taxon Information!!Genotype Information (if known)!!Condition Information!!OMP ID!!OMP Term Name!!ECO ID!!ECO Term Name!!Notes!!Status | ||
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+ | ==Notes== | ||
+ | |||
+ | ==References== | ||
+ | {{RefHelp}} | ||
+ | <references/> | ||
+ | |||
+ | |||
+ | [[Category:Publication]] |
Revision as of 11:22, 17 September 2012
Citation |
Krzyzánek, V , Müller, SA , Engel, A and Reichelt, R (2009) MASDET-A fast and user-friendly multiplatform software for mass determination by dark-field electron microscopy. J. Struct. Biol. 165:78-87 |
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Abstract |
Electron microscopy has been used to measure the mass of biological nanoparticles since the early 60s, and is the only way to obtain the mass of large structures or parameters such as the mass-per-length of filaments. The ability of this method to sort heterogeneous samples both in terms of mass and shape promises to make it a key tool for proteomics down to the single cell level. A new multiplatform software package, MASDET, that can be run under MATLAB or as a standalone program is described. Based on a user-friendly graphical interface MASDET streamlines mass evaluation and greatly increases the speed of required optimisation procedures. Importantly, the immediate application of Monte-Carlo simulations to describe multiple scattering is possible, allowing the mass analysis of thicker samples and the generation of mass thickness maps. |
Links |
PubMed Online version:10.1016/j.jsb.2008.10.006 |
Keywords |
Computer Graphics; Computers; Data Interpretation, Statistical; Deinococcus/metabolism; Electrons; Image Processing, Computer-Assisted; Microscopy, Electron/methods; Models, Statistical; Molecular Weight; Monte Carlo Method; Proteomics/methods; Reproducibility of Results; Scattering, Radiation; Software; User-Computer Interface |
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Main Points of the Paper
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Materials and Methods Used
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Phenotype Annotations
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<protect>
Phenotype of | Taxon Information | Genotype Information (if known) | Condition Information | OMP ID | OMP Term Name | ECO ID | ECO Term Name | Notes | Status |
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Notes
References
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