Literatura científica selecionada sobre o tema "Tomoflow"
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Artigos de revistas sobre o assunto "Tomoflow"
Harastani, Mohamad, Mikhail Eltsov, Amélie Leforestier e Slavica Jonic. "TomoFlow: Analysis of Continuous Conformational Variability of Macromolecules in Cryogenic Subtomograms based on 3D Dense Optical Flow". Journal of Molecular Biology 434, n.º 2 (janeiro de 2022): 167381. http://dx.doi.org/10.1016/j.jmb.2021.167381.
Texto completo da fonteLarson, Matthew R., Yan Zhuang, Djay Pallavur Naduvakkat, Jae Yang, Bryan Sibert e Elizabeth R. Wright. "TomoFlows: Pre-Processing Workflows For Cryo-Electron Tomography". Microscopy and Microanalysis 29, Supplement_1 (22 de julho de 2023): 724–25. http://dx.doi.org/10.1093/micmic/ozad067.357.
Texto completo da fonteHardiansyah, Anggi, e Dahlia Dahlia. "Sistem Informasi Absensi Sales Berbasis Android Pada PT. Tomofood Industry". Indonesian Journal Computer Science 2, n.º 2 (30 de outubro de 2023): 51–57. http://dx.doi.org/10.31294/ijcs.v2i2.2408.
Texto completo da fonteTeses / dissertações sobre o assunto "Tomoflow"
Harastani, Mohamad. "Image analysis methods development for in vitro and in situ cryo-electron tomography studies of conformational variability of biomolecular complexes : Case of nucleosome structural and dynamics studies". Electronic Thesis or Diss., Sorbonne université, 2022. http://www.theses.fr/2022SORUS283.
Texto completo da fonteCryogenic electron tomography (cryo-ET) allows visualizing biomolecular complexes in situ. 3D data of biomolecules produced using cryo-ET are noisy, suffer from spacial anisotropies, and are difficult to analyze individually. Biomolecules are flexible, and analyzing their conformational variability is necessary to understand their functional mechanisms. Standard cryo-ET data processing methods average multiple copies of individual biomolecules to obtain structures at higher resolutions and consider that biomolecular conformational variability is discrete rather than continuous using the classification. This thesis presents the first two cryo-ET data processing methods for analyzing biomolecular continuous conformational variability, HEMNMA-3D and TomoFlow. HEMNMA-3D analyzes experimental data with the motion directions simulated by Normal Mode Analysis and allows the discovery of a large range of biomolecular motions. TomoFlow extracts motions from the data using the computer vision technique of Optical Flow. I show the potential of these two methods on experimental cryo-ET data of nucleosome conformational variability in cells. The two methods show coherent results, shedding light on the conformational variability of nucleosomes in cells
Trabalhos de conferências sobre o assunto "Tomoflow"
AbdulKareem, Lokman A., S. Sharaf, Barry J. Azzopardi e Andrew Hunt. "Effect of Inclination on Slug Flow Characteristics". In ASME 2010 International Mechanical Engineering Congress and Exposition. ASMEDC, 2010. http://dx.doi.org/10.1115/imece2010-38119.
Texto completo da fonteAbdulKareem, Lokman A., V. Hernandez-Perez, S. Sharaf e Barry J. Azzopardi. "Characteristics of Air-Oil Slug Flow in Inclined Pipe Using Tomographic Techniques". In ASME/JSME 2011 8th Thermal Engineering Joint Conference. ASMEDC, 2011. http://dx.doi.org/10.1115/ajtec2011-44546.
Texto completo da fonteMcGinty, James, Daniel W. Stuckey, Khadija B. Tahir, Romain Laine, Joseph V. Hajnal, Alessandro Sardini e Paul M. W. French. "tomoFLIM - fluorescence lifetime projection tomography". In BiOS, editado por Jose-Angel Conchello, Carol J. Cogswell, Tony Wilson e Thomas G. Brown. SPIE, 2010. http://dx.doi.org/10.1117/12.841753.
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