Academic literature on the topic 'Tomoflow'
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Journal articles on the topic "Tomoflow"
Harastani, Mohamad, Mikhail Eltsov, Amélie Leforestier, and Slavica Jonic. "TomoFlow: Analysis of Continuous Conformational Variability of Macromolecules in Cryogenic Subtomograms based on 3D Dense Optical Flow." Journal of Molecular Biology 434, no. 2 (January 2022): 167381. http://dx.doi.org/10.1016/j.jmb.2021.167381.
Full textLarson, Matthew R., Yan Zhuang, Djay Pallavur Naduvakkat, Jae Yang, Bryan Sibert, and Elizabeth R. Wright. "TomoFlows: Pre-Processing Workflows For Cryo-Electron Tomography." Microscopy and Microanalysis 29, Supplement_1 (July 22, 2023): 724–25. http://dx.doi.org/10.1093/micmic/ozad067.357.
Full textHardiansyah, Anggi, and Dahlia Dahlia. "Sistem Informasi Absensi Sales Berbasis Android Pada PT. Tomofood Industry." Indonesian Journal Computer Science 2, no. 2 (October 30, 2023): 51–57. http://dx.doi.org/10.31294/ijcs.v2i2.2408.
Full textDissertations / Theses on the topic "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.
Full textCryogenic 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
Conference papers on the topic "Tomoflow"
AbdulKareem, Lokman A., S. Sharaf, Barry J. Azzopardi, and 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.
Full textAbdulKareem, Lokman A., V. Hernandez-Perez, S. Sharaf, and 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.
Full textMcGinty, James, Daniel W. Stuckey, Khadija B. Tahir, Romain Laine, Joseph V. Hajnal, Alessandro Sardini, and Paul M. W. French. "tomoFLIM - fluorescence lifetime projection tomography." In BiOS, edited by Jose-Angel Conchello, Carol J. Cogswell, Tony Wilson, and Thomas G. Brown. SPIE, 2010. http://dx.doi.org/10.1117/12.841753.
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