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Статті в журналах з теми "Single Particle Tracking (SPT":
Hou, Shangguo, Courtney Johnson, and Kevin Welsher. "Real-Time 3D Single Particle Tracking: Towards Active Feedback Single Molecule Spectroscopy in Live Cells." Molecules 24, no. 15 (August 2, 2019): 2826. http://dx.doi.org/10.3390/molecules24152826.
Speckner, Konstantin, and Matthias Weiss. "Single-Particle Tracking Reveals Anti-Persistent Subdiffusion in Cell Extracts." Entropy 23, no. 7 (July 13, 2021): 892. http://dx.doi.org/10.3390/e23070892.
Travers, Théo, Vincent G. Colin, Matthieu Loumaigne, Régis Barillé, and Denis Gindre. "Single-Particle Tracking with Scanning Non-Linear Microscopy." Nanomaterials 10, no. 8 (August 3, 2020): 1519. http://dx.doi.org/10.3390/nano10081519.
Rose, Katie A., Daeyeon Lee, and Russell J. Composto. "pH-Mediated nanoparticle dynamics in hydrogel nanocomposites." Soft Matter 17, no. 10 (2021): 2765–74. http://dx.doi.org/10.1039/d0sm02213f.
Zhong, Yaning, and Gufeng Wang. "Three-Dimensional Single Particle Tracking and Its Applications in Confined Environments." Annual Review of Analytical Chemistry 13, no. 1 (June 12, 2020): 381–403. http://dx.doi.org/10.1146/annurev-anchem-091819-100409.
Clarke, David T., and Marisa L. Martin-Fernandez. "A Brief History of Single-Particle Tracking of the Epidermal Growth Factor Receptor." Methods and Protocols 2, no. 1 (January 30, 2019): 12. http://dx.doi.org/10.3390/mps2010012.
Reina, Francesco, John M. A. Wigg, Mariia Dmitrieva, Joël Lefebvre, Jens Rittscher, and Christian Eggeling. "TRAIT2D: a Software for Quantitative Analysis of Single Particle Diffusion Data." F1000Research 10 (August 20, 2021): 838. http://dx.doi.org/10.12688/f1000research.54788.1.
Reina, Francesco, John M. A. Wigg, Mariia Dmitrieva, Bela Vogler, Joël Lefebvre, Jens Rittscher, and Christian Eggeling. "TRAIT2D: a Software for Quantitative Analysis of Single Particle Diffusion Data." F1000Research 10 (January 31, 2022): 838. http://dx.doi.org/10.12688/f1000research.54788.2.
Shin, Kyujin, Yo Song, Yeongchang Goh, and Kang Lee. "Two-Dimensional and Three-Dimensional Single Particle Tracking of Upconverting Nanoparticles in Living Cells." International Journal of Molecular Sciences 20, no. 6 (March 21, 2019): 1424. http://dx.doi.org/10.3390/ijms20061424.
Parrish, Emmabeth, Katie A. Rose, Matteo Cargnello, Christopher B. Murray, Daeyeon Lee, and Russell J. Composto. "Nanoparticle diffusion during gelation of tetra poly(ethylene glycol) provides insight into nanoscale structural evolution." Soft Matter 16, no. 9 (2020): 2256–65. http://dx.doi.org/10.1039/c9sm02192b.
Дисертації з теми "Single Particle Tracking (SPT":
Robson, Alex J. "Single particle tracking as a tool to investigate the dynamics of integrated membrane complexes in vivo." Thesis, University of Oxford, 2012. http://ora.ox.ac.uk/objects/uuid:7769f80c-a56d-4513-9123-1d65ef8c9911.
Mawoussi, Kodjo. "Effet de l'encombrement des protéines sur la diffusion des lipides et des protéines membranaires." Thesis, Paris 6, 2017. http://www.theses.fr/2017PA066541/document.
Lateral diffusion of lipids and transmembrane proteins is essential for biological functions. In the cellular context, the surface fraction of membrane proteins is high, reaching approximately 50 to 70% depending on the membrane type. Therefore, diffusion occurs in a very crowded environment. The aim of this work is to study in vitro the effect of protein crowding on their own diffusion and on those of the surrounding lipids. So far, lateral diffusion measurements generally have been carried out at low protein density, and the effect of proteins crowding has not been much studied experimentally. We used a single particle tracking (SPT) method to track the trajectories of the Bacterorhodopsin (BR) proton pump and of lipids labeled with quantum dots at the bottom of giant unilamellar vesicles (GUVs) as a function of the total surface fraction (Ф) of BR reconstituted in 1,2-Dioleoyl-sn-glycero-3-phosphocholine (DOPC) membrane
Mereghetti, Alessio. "Performance evaluation of the SPS scraping system in view of the high luminosity LHC." Thesis, University of Manchester, 2015. https://www.research.manchester.ac.uk/portal/en/theses/performance-evaluation-of-the-sps-scraping-system-in-view-of-the-high-luminosity-lhc(600579c0-0877-415d-bf8d-32896497b5ff).html.
Relich, Peter Kristopher II. "Single Particle Tracking| Analysis Techniques for Live Cell Nanoscopy." Thesis, The University of New Mexico, 2017. http://pqdtopen.proquest.com/#viewpdf?dispub=10251887.
Single molecule experiments are a set of experiments designed specifically to study the properties of individual molecules. It has only been in the last three decades where single molecule experiments have been applied to the life sciences; where they have been successfully implemented in systems biology for probing the behaviors of sub-cellular mechanisms. The advent and growth of super-resolution techniques in single molecule experiments has made the fundamental behaviors of light and the associated nano-probes a necessary concern amongst life scientists wishing to advance the state of human knowledge in biology. This dissertation disseminates some of the practices learned in experimental live cell microscopy. The topic of single particle tracking is addressed here in a format that is designed for the physicist who embarks upon single molecule studies. Specifically, the focus is on the necessary procedures to generate single particle tracking analysis techniques that can be implemented to answer biological questions. These analysis techniques range from designing and testing a particle tracking algorithm to inferring model parameters once an image has been processed. The intellectual contributions of the author include the techniques in diffusion estimation, localization filtering, and trajectory associations for tracking which will all be discussed in detail in later chapters. The author of this thesis has also contributed to the software development of automated gain calibration, live cell particle simulations, and various single particle tracking packages. Future work includes further evaluation of this laboratory's single particle tracking software, entropy based approaches towards hypothesis validations, and the uncertainty quantification of gain calibration.
Sanamrad, Arash. "Biological Insights from Single-Particle Tracking in Living Cells." Doctoral thesis, Uppsala universitet, Beräknings- och systembiologi, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-229342.
Guerrier, Mark Paul. "The development and evaluation of phosphorescent particle tracking." Thesis, University College London (University of London), 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.324887.
Woringer, Maxime. "Tools to analyze single-particle tracking data in mammalian cells." Electronic Thesis or Diss., Sorbonne université, 2019. http://www.theses.fr/2019SORUS419.
This work aims at providing tools to dissect the regulation of transcription in eukaryotic cells, with a focus on single-particle tracking of transcription factors in mammalian cells. The nucleus of an eukeryotic cell is an extremely complex medium, that contains a high concentration of macromolecules (DNA, RNA, proteins) and other small molecules (ATP, etc). How these molecules interact with transcription factors, and thus influence transcription rates is an area of intense investigations. Although some of these interactions can be captured by regular biochemistry, many of them, including weak, non-covalent interactions remain undetected by these methods. Live-cell imaging and single-particle tracking (SPT) techniques are increasingly used to characterize such effects. The inference of biophysical parameters of a given transcription factor (TF), such as its diffusion constant, the number of subpopulations or its residence time on DNA, are crucial to understanding how TF dynamics and transcription intertwine. Accurate and validated SPT analysis tools are needed. To be used by the community, SPT tools should not only be carefully validated, but also be easily accessible to non-programmers. They should also be designed to take into account known biases of the imaging techniques. In this work, we first propose a tool, accessible through a web interface, based on the modeling of the diffusion propagator. We validate it extensively and show that it exhibits state-of-the art performance. We apply this tool to two experimental settings: (1) the study of catalysis-enhanced diffusion in-vitro and (2) the analysis of the dynamics of the c-Myc transcription factor in mammalian cells
Piette, Nathalie. "Micropatterning subcellulaire pour étudier la connectivité neuronale." Electronic Thesis or Diss., Bordeaux, 2024. http://www.theses.fr/2024BORD0034.
Micropatterning was initially employed to replicate and understand the influence of the extracellular matrix on cells and some of their components. Over the past decade, subcellular printing has emerged, enabling the study of protein interactions and their role in signaling pathways as well as in the formation of synaptic, immunological, or neuronal pathways.The synaptic connection is mediated by synaptic adhesion proteins present on each side of the synapse. Due to the complexity of the synaptic environment and the lack of in vitro models to study synaptic connection in a biomimetic and controlled environment, the exact roles of these proteins in synaptogenesis remain uncertain. Subcellular protein printing presents a potential solution to address this gap. For this purpose, we have developed two biomimetic models based on protein printing: a first one using heterologous cells, providing insights into the interaction kinetics of protein pairs and linking them to their potential function. And a second one using primary neurons, allowing the formation of artificial synapses to study synaptic nano-organization during development.The protein printing system PRIMO, commercialized by Alvéole, which is co-funding this thesis, is underutilized by neuroscientists. Besides these biological objectives, the industrial aim of this thesis is to develop methodologies and proofs of concept to demonstrate the advantages and feasibility of the PRIMO technology in neuroscience.By coupling our first model, based on heterologous cells, with live-cell imaging techniques (sptPALM and FRAP), we differentiated interaction kinetics among various synaptic adhesion protein pairs and also for interactions with scaffold proteins. A labile interaction was observed for SynCAM1, known for its role in synaptic morphology. A strong and stable interaction was evident for Neuroligin1/Neurexine1β due to Neuroligin1's dimerization, which is essential for synaptic functionality.With the second model using primary hippocampal neurons, we demonstrated, in the presence of LRRTM2, the specific formation of artificial synapses. These hemi-synapses exhibited morphological and functional characteristics close to native synapses, including the presence of vesicles and spontaneous calcium activity. However, we were unable to form artificial postsynapses with Neurexine1β. Based on our observations and bibliographic analysis, we hypothesize that the postsynapse could be the initiating compartment for synaptogenesis.In conclusion, this study demonstrates: (1) that subcellular printing is an excellent model to study synaptic connectivity and adhesion from both a functional and organizational perspective. (2) That models of hemi-synapses using micropatterning are more specific than previous models. (3) That the PRIMO system opens numerous perspectives in neuroscience through its quantitative printing capabilities
Naeem, Asad. "Single and multiple target tracking via hybrid mean shift/particle filter algorithms." Thesis, University of Nottingham, 2010. http://eprints.nottingham.ac.uk/12699/.
Zelman-Femiak, Monika [Verfasser], and Gregory [Akademischer Betreuer] Harms. "Single Particle Tracking ; Membrane Receptor Dynamics / Monika Zelman-Femiak. Betreuer: Gregory Harms." Würzburg : Universitätsbibliothek der Universität Würzburg, 2012. http://d-nb.info/1026414768/34.
Книги з теми "Single Particle Tracking (SPT":
Braüchle, Christoph, Don C. Lamb, and Michaelis Jens. Single particle tracking and single molecule energy transfer. Weinheim: Wiley-VCH, 2010.
Walter, Nils G. Single molecule tools: Super-resolution, particle tracking, multiparameter and force based methods. San Diego, CA: Academic Press/Elsevier, 2010.
Bräuchle, Christoph, Don C. Lamb, and Jens Michaelis, eds. Single Particle Tracking and Single Molecule Energy Transfer. Wiley, 2009. http://dx.doi.org/10.1002/9783527628360.
Michaelis, Jens, Christoph Bräuchle, Don Carroll Lamb, and Christoph Bräuchle. Single Particle Tracking and Single Molecule Energy Transfer. Wiley & Sons, Limited, John, 2009.
Recent Advances in Single-Particle Tracking: Experiment and Analysis. MDPI, 2022. http://dx.doi.org/10.3390/books978-3-0365-3486-2.
Single Molecule Tools, Part B:Super-Resolution, Particle Tracking, Multiparameter, and Force Based Methods. Elsevier, 2010. http://dx.doi.org/10.1016/c2009-0-62452-1.
Furst, Eric M., and Todd M. Squires. Light scattering microrheology. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780199655205.003.0005.
Частини книг з теми "Single Particle Tracking (SPT":
Récamier, Vincent. "Intra-Nuclear Single-Particle Tracking (I-SPT) to Reveal the Functional Architecture of Chromosomes." In Methods in Molecular Biology, 265–74. New York, NY: Springer New York, 2016. http://dx.doi.org/10.1007/978-1-4939-3631-1_18.
Saxton, Michael J. "Single Particle Tracking." In Fundamental Concepts in Biophysics, 1–33. Totowa, NJ: Humana Press, 2009. http://dx.doi.org/10.1007/978-1-59745-397-4_6.
Sanamrad, Arash, and Johan Elf. "Single-Particle Tracking." In Encyclopedia of Biophysics, 2355–58. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-16712-6_487.
Deschout, Hendrik, and Kevin Braeckmans. "Single Particle Tracking." In Encyclopedia of Biophysics, 2326–27. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-16712-6_821.
Yildiz, Ahmet. "Single-Molecule Fluorescent Particle Tracking." In Handbook of Single-Molecule Biophysics, 1–18. New York, NY: Springer US, 2009. http://dx.doi.org/10.1007/978-0-387-76497-9_1.
Wasim, Laabiah, and Bebhinn Treanor. "Single-Particle Tracking of Cell Surface Proteins." In Methods in Molecular Biology, 183–92. New York, NY: Springer New York, 2018. http://dx.doi.org/10.1007/978-1-4939-7474-0_13.
Tinevez, Jean-Yves, and Sébastien Herbert. "The NEMO Dots Assembly: Single-Particle Tracking and Analysis." In Bioimage Data Analysis Workflows, 67–96. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-22386-1_4.
Costello, Deirdre A., and Susan Daniel. "Single Particle Tracking Assay to Study Coronavirus Membrane Fusion." In Coronaviruses, 183–94. New York, NY: Springer New York, 2015. http://dx.doi.org/10.1007/978-1-4939-2438-7_16.
Zhang, Xiaowei, Wei Li, and Zongqiang Cui. "Single-Particle Tracking of Virus Entry in Live Cells." In Subcellular Biochemistry, 153–68. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-40086-5_5.
Chen, Kuangcai, Xiaodong Cheng, and Ning Fang. "Instrumental Design for Five-Dimensional Single-Particle Rotational Tracking." In Biomotors and their Nanobiotechnology Applications, 257–63. Boca Raton: CRC Press, 2023. http://dx.doi.org/10.1201/9780429203367-24.
Тези доповідей конференцій з теми "Single Particle Tracking (SPT":
Cardwell, Nicholas D., and Pavlos P. Vlachos. "A Multi-Parametric Particle Pairing Algorithm for Particle Tracking Velocimetry in Single and Multiphase Flows." In ASME-JSME-KSME 2011 Joint Fluids Engineering Conference. ASMEDC, 2011. http://dx.doi.org/10.1115/ajk2011-31023.
Lee, Yerim, Kai Tao, Carey Phelps, Tao Huang, Barmak Mostofian, Daniel Zuckerman, and Xiaolin Nan. "Probing the spatiotemporal dynamics of Ras-associated membrane nanodomains with high-throughput single particle tracking via photoactivated localization microscopy (spt-PALM)." In High-Speed Biomedical Imaging and Spectroscopy V, edited by Keisuke Goda and Kevin K. Tsia. SPIE, 2020. http://dx.doi.org/10.1117/12.2547699.
Hu, Y. Thomas, HsinChen Chung, and Maxey Jason. "What is More Important for Proppant Transport, Viscosity or Elasticity?" In SPE Hydraulic Fracturing Technology Conference. SPE, 2015. http://dx.doi.org/10.2118/spe-173339-ms.
Braun, S., C. Höfler, R. Koch, and H. J. Bauer. "Modeling Fuel Injection in Gas Turbines Using the Meshless Smoothed Particle Hydrodynamics Method." In ASME Turbo Expo 2013: Turbine Technical Conference and Exposition. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/gt2013-94027.
Puduppakkam, Karthik V., Abhijit U. Modak, Chitralkumar V. Naik, Joaquin Camacho, Hai Wang, and Ellen Meeks. "A Soot Chemistry Model That Captures Fuel Effects." In ASME Turbo Expo 2014: Turbine Technical Conference and Exposition. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/gt2014-27123.
Chang, Ai-Tang, Yi-Ren Chang, Sien Chi, and Long Hsu. "The single particle tracking system." In SPIE NanoScience + Engineering, edited by Kishan Dholakia and Gabriel C. Spalding. SPIE, 2010. http://dx.doi.org/10.1117/12.860934.
Su, Di, Ronghui Ma, and Liang Zhu. "Multiscale Simulation of Nanoparticle Transport and Deposition in Fiber Matrix During a Nanofluid Filtration Process." In ASME 2009 Heat Transfer Summer Conference collocated with the InterPACK09 and 3rd Energy Sustainability Conferences. ASMEDC, 2009. http://dx.doi.org/10.1115/ht2009-88621.
Hoefler, C., S. Braun, R. Koch, and H. J. Bauer. "Modeling Spray Formation in Gas Turbines: A New Meshless Approach." In ASME Turbo Expo 2012: Turbine Technical Conference and Exposition. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/gt2012-68489.
Sokolov, Igor, Ariel Lubelski, and Joseph Klafter. "Nonergodicity mimicking inhomogeneity in single particle tracking." In 3rd International ICST Conference on Performance Evaluation Methodologies and Tools. ICST, 2008. http://dx.doi.org/10.4108/icst.valuetools.2008.50.
So, Peter T. C., Timothy Ragan, Enrico Gratton, Jenny Carerro, and Edward Voss. "Two-photon single particle tracking in 3D." In BiOS '97, Part of Photonics West, edited by Daniel L. Farkas and Bruce J. Tromberg. SPIE, 1997. http://dx.doi.org/10.1117/12.274323.
Звіти організацій з теми "Single Particle Tracking (SPT":
Gu, Yan. Principles and biophysical applications of single particle super-localization and rotational tracking. Office of Scientific and Technical Information (OSTI), January 2013. http://dx.doi.org/10.2172/1116711.
Chen, Kuangcai. Development and applications of single particle orientation and rotational tracking in dynamic systems. Office of Scientific and Technical Information (OSTI), February 2016. http://dx.doi.org/10.2172/1342544.
Sun, Wei. Developing new optical imaging techniques for single particle and molecule tracking in live cells. Office of Scientific and Technical Information (OSTI), January 2010. http://dx.doi.org/10.2172/1037983.
Noll, Daniel, and Giulio Stancari. Field calculations, single-particle tracking, and beam dynamics with space charge in the electron lens for the Fermilab Integrable Optics Test Accelerator. Office of Scientific and Technical Information (OSTI), November 2015. http://dx.doi.org/10.2172/1230044.