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Littérature scientifique sur le sujet « Image Correlation Spectroscopy »

Auteur : Grafiati
Publié le 9 mars 2023
Mis à jour le 31 juillet 2025

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Articles de revues sur le sujet "Image Correlation Spectroscopy"

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Nohe, A., and N. O. Petersen. "Image Correlation Spectroscopy." Science's STKE 2007, no. 417 (2007): pl7. http://dx.doi.org/10.1126/stke.4172007pl7.

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Wiseman, P. W., J. A. Squier, M. H. Ellisman, and K. R. Wilson. "Two-photon image correlation spectroscopy and image cross-correlation spectroscopy." Journal of Microscopy 200, no. 1 (2000): 14–25. http://dx.doi.org/10.1046/j.1365-2818.2000.00736.x.

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Digman, Michelle A., and Enrico Gratton. "Scanning image correlation spectroscopy." BioEssays 34, no. 5 (2012): 377–85. http://dx.doi.org/10.1002/bies.201100118.

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Clayton, Andrew H. A. "Phase-Sensitive Fluorescence Image Correlation Spectroscopy." International Journal of Molecular Sciences 25, no. 20 (2024): 11165. http://dx.doi.org/10.3390/ijms252011165.

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Fluorescence lifetime imaging microscopy is sensitive to molecular interactions and environments. In homo-dyne frequency-domain fluorescence lifetime imaging microscopy, images of fluorescence objects are acquired at different phase settings of the detector. The detected intensity as a function of detector phase is a sinusoidal function that is sensitive to the lifetime of the fluorescent species. In this paper, the theory of phase-sensitive fluorescence image correlation spectroscopy is described. In this version of lifetime imaging, image correlation spectroscopy analysis (i.e., spatial auto
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Kurniawan, Nicholas A., and Raj Rajagopalan. "Probe-Independent Image Correlation Spectroscopy." Langmuir 27, no. 6 (2011): 2775–82. http://dx.doi.org/10.1021/la104478x.

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Hendrix, Jelle, Tomas Dekens, and Don C. Lamb. "Arbitrary-Region Image Correlation Spectroscopy." Biophysical Journal 110, no. 3 (2016): 176a. http://dx.doi.org/10.1016/j.bpj.2015.11.983.

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Wiseman, Paul W. "Image Correlation Spectroscopy: Principles and Applications." Cold Spring Harbor Protocols 2015, no. 4 (2015): pdb.top086124. http://dx.doi.org/10.1101/pdb.top086124.

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Hendrix, Jelle, Tomas Dekens, Waldemar Schrimpf, and Don C. Lamb. "Arbitrary-Region Raster Image Correlation Spectroscopy." Biophysical Journal 111, no. 8 (2016): 1785–96. http://dx.doi.org/10.1016/j.bpj.2016.09.012.

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Semrau, Stefan, Laurent Holtzer, Marcos Gonzalez-Gaitan, and Thomas Schmidt. "Particle Image Cross Correlation Spectroscopy (PICCS)." Biophysical Journal 98, no. 3 (2010): 182a. http://dx.doi.org/10.1016/j.bpj.2009.12.976.

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Longfils, Marco, Nick Smisdom, Marcel Ameloot, et al. "Raster Image Correlation Spectroscopy Performance Evaluation." Biophysical Journal 117, no. 10 (2019): 1900–1914. http://dx.doi.org/10.1016/j.bpj.2019.09.045.

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Thèses sur le sujet "Image Correlation Spectroscopy"

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Sergeev, Mikhail. "High order autocorrelation analysis in image correlation spectroscopy." Thesis, McGill University, 2004. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=81437.

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This thesis studies optical microscopy based high order autocorrelation approaches for measuring molecular aggregation of fluorescently labeled particles in fluid systems. As the particles randomly diffuse into and out of the volume defined by the focus of a confocal laser beam illumination, the collected fluorescence intensity fluctuates. Fluorescence Correlation Spectroscopy (FCS) and Image Correlation Spectroscopy (ICS) have been used as methods which analyse temporal and spatial intensity fluctuations, and provide quantitative information of the molecular transport processes. Theore
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Nicovich, Philip R. "Widefield fluorescence correlation spectroscopy." Diss., Georgia Institute of Technology, 2010. http://hdl.handle.net/1853/33849.

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Fluorescence correlation spectroscopy has become a standard technique for modern biophysics and single molecule spectroscopy research. Here is presented a novel widefield extension of the established single-point technique. Flow in microfluidic devices was used as a model system for microscopic motion and through widefield fluorescence correlation spectroscopy flow profiles were mapped in three dimensions. The technique presented is shown to be more tolerant to low signal strength, allowing image data with signal-to-noise values as low as 1.4 to produce accurate flow maps as well as utilizi
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Kolin, David. "k-Space image correlation spectroscopy: theory, verification, and applications." Thesis, McGill University, 2008. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=21933.

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This thesis is about the use and development of new fluorescence correlation techniques to measure the dynamics, number density, and aggregation state of fluorescently labelled proteins in living cells. An extensive investigation of the accuracy and precision of temporal image correlation spectroscopy (TICS) is presented first. Using computer simulations of laser scanning microscopy image time series, the effect of spatiotemporal sampling, particle density, noise, and photobleaching of fluorophores on the recovery of transport coefficients and number densities by TICS is investigated. It is s
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Hébert, Benedict. "Spatio-temporal image correlation spectroscopy : development and implementation in living cells." Thesis, McGill University, 2006. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=102507.

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The object of this thesis is to develop a new extension of Image Correlation Spectroscopy (ICS) that can measure velocity vectors for flowing protein populations in living cells. This new technique, called Spatio-Temporal Image Correlation Spectroscopy (STICS), allows measurement of both diffusion coefficients and velocity vectors (magnitude and direction) from fluorescence microscopy image time series of fluorescently labeled cellular proteins via monitoring of the time evolution of the full space-time correlation function of the intensity fluctuations. By using filtering in Fourier space to
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Coppola, Stefano, Daniela Pozzi, Giulio Caracciolo, and Thomas Schmidt. "Intracellular trafficking of lipoplexes: a particle image correlation spectroscopy (PICS) study." Diffusion fundamentals 20 (2013) 27, S. 1, 2013. https://ul.qucosa.de/id/qucosa%3A13592.

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Srivastava, Mamta. "Image cross-correlation spectroscopy, development and applications on living and fixed cells." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape7/PQDD_0014/NQ40290.pdf.

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Schwartzentruber, Jeremy. "k-space image correlation spectroscopy (kICS): accuracy and precision, capabilities and limitations." Thesis, McGill University, 2011. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=97079.

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k-space image correlation spectroscopy (kICS) is a recently developed technique that can be used to measure the transport dynamics and number density of fluorescently labeled molecules in living cells, while being completely unbiased for transport measurements by fluorophore photobleaching or blinking. Whereas the precision of fluorescence correlation spectroscopy (FCS) and temporal image correlation spectroscopy (TICS) have been investigated in detail, no such study exists for kICS. In this thesis, we present a thorough characterization of the accuracy and precision of kICS for measurements o
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Guillet, Dominique. "Spatio-temporal image correlation spectroscopy: Extension to three dimensions and application to biological systems." Thesis, McGill University, 2012. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=110545.

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The object of this thesis is to present work done using spatio-temporal image correlation spectroscopy (STICS), a technique that uses fluorescence intensity fluctuations in a microscopy image time series to calculate a complete space-time correlation function in order to measure transport dynamics in cells. The time evolution of this correlation function gives information on the magnitude and direction of a flow of fluorescent particles sampled in the image series. First, a new application of STICS to plant cell biology is shown. In dividing plant cells, delivery of new cell wall material to t
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Pandžić, Elvis. "Measurement of protein transport and confinement in heterogeneous membranes by k-space image correlation spectroscopy." Thesis, McGill University, 2013. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=116842.

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This thesis presents the application of k-space Image Correlation Spec- troscopy (kICS) to the analysis of fluorescence microscopy image time series for the measurement of particle diffusion in heterogeneous membranes, composed of micro- domains. The extension, testing and application of kICS for such measurements is developed both in silico with simulation and with in vivo cellular experiments.Connections between kICS analysis and other existing fluorescent microscopy techniques used in the study of heterogeneous membranes, such as single particle tracking (SPT) and spot vary Fluorescence Cor
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Le, Andy Vinh. "Blood Microflow Characterization Using Micro-Particle Image Velocimetry and 2-Beam Fluorescence Cross-Correlation Spectroscopy." Thesis, Université d'Ottawa / University of Ottawa, 2020. http://hdl.handle.net/10393/41535.

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Blood flow through microcirculation in both simple and complex geometry has been difficult to predict due to the composition and complex behavior of blood at the microscale. Blood is a dense suspension of deformable red blood cells that is comparable in dimensions to the microchannels that it flows through. As a result, rheological properties at the microscale can vastly differ from bulk rheological properties due to non-continuum effects. To further develop our understanding of blood microflow; experimental techniques should be explored. In this work, we explore micro-particle image velocime
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Livres sur le sujet "Image Correlation Spectroscopy"

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Horing, Norman J. Morgenstern. Random Phase Approximation Plasma Phenomenology, Semiclassical and Hydrodynamic Models; Electrodynamics. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198791942.003.0010.

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Chapter 10 reviews both homogeneous and inhomogeneous quantum plasma dielectric response phenomenology starting with the RPA polarizability ring diagram in terms of thermal Green’s functions, also energy eigenfunctions. The homogeneous dynamic, non-local inverse dielectric screening functions (K) are exhibited for 3D, 2D, and 1D, encompassing the non-local plasmon spectra and static shielding (e.g. Friedel oscillations and Debye-Thomas-Fermi shielding). The role of a quantizing magnetic field in K is reviewed. Analytically simpler models are described: the semiclassical and classical limits an
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Chapitres de livres sur le sujet "Image Correlation Spectroscopy"

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Bonor, Jeremy, and Anja Nohe. "Image Correlation Spectroscopy to Define Membrane Dynamics." In Methods in Molecular Biology. Humana Press, 2009. http://dx.doi.org/10.1007/978-1-60761-404-3_21.

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Pandzic, Elvis, and Paul W. Wiseman. "Probing Membrane Heterogeneity with k-space Image Correlation Spectroscopy." In Springer Series in Biophysics. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-66601-3_7.

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Mazza, Davide, Timothy J. Stasevich, Tatiana S. Karpova, and James G. McNally. "Monitoring Dynamic Binding of Chromatin Proteins In Vivo by Fluorescence Correlation Spectroscopy and Temporal Image Correlation Spectroscopy." In Methods in Molecular Biology. Humana Press, 2011. http://dx.doi.org/10.1007/978-1-61779-477-3_12.

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Moreno, David F., and Martí Aldea. "Coincidence Analysis of Molecular Dynamics by Raster Image Correlation Spectroscopy." In Computer Optimized Microscopy. Springer New York, 2019. http://dx.doi.org/10.1007/978-1-4939-9686-5_17.

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Lacoste, Judith, Charles Vining, Dongmei Zuo, Aleksandrs Spurmanis, and Claire M. Brown. "Optimal Conditions for Live Cell Microscopy and Raster Image Correlation Spectroscopy." In Reviews in Fluorescence 2010. Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-9828-6_12.

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Makaremi, Sara, and Jose Moran-Mirabal. "Measuring the Lateral Diffusion of Plasma Membrane Receptors Using Raster Image Correlation Spectroscopy." In Methods in Molecular Biology. Springer US, 2022. http://dx.doi.org/10.1007/978-1-0716-2051-9_17.

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Paviolo, Chiara, James W. M. Chon, and Andrew H. A. Clayton. "The Effect of Nanoparticles on the Cluster Size Distributions of Activated EGFR Measured with Photobleaching Image Correlation Spectroscopy." In Advances in Experimental Medicine and Biology. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-3065-0_4.

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Zhou, Qiwei, Zhixin Shi, Shilun Zheng, et al. "The Effect of Modified Styrene Butadiene Rubber Latex on the Properties of Emulsified Asphalt and Mixture." In Lecture Notes in Civil Engineering. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-4355-1_33.

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AbstractIn order to study the effect of styrene butadiene rubber (SBR) latex at various dosages on the properties of emulsified asphalt and its mixtures as well as to reveal SBR’s modification mechanism and action, the conventional test, dynamic shear rheology test, fluorescence microscopy test, infrared spectroscopy test, contact angle test, wet wheel abrasion test and rutting deformation test were carried out to investigate the conventional properties, rheological properties, microphase structure, adhesive properties and the abrasion resistance of its mixtures, the resistance to water damage
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Wiseman, Paul W. "Image Correlation Spectroscopy." In Methods in Enzymology. Elsevier, 2013. http://dx.doi.org/10.1016/b978-0-12-388422-0.00010-8.

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Wiseman, P. W. "2.12 Image Correlation Spectroscopy." In Comprehensive Biophysics. Elsevier, 2012. http://dx.doi.org/10.1016/b978-0-12-374920-8.00220-4.

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Actes de conférences sur le sujet "Image Correlation Spectroscopy"

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O’Kane, Erin C., David A. Miller, and Adam Wax. "Correlation Tomography of Volumetric OCT Images Using HSV Color Space." In Clinical and Translational Biophotonics. Optica Publishing Group, 2025. https://doi.org/10.1364/translational.2025.tw1f.3.

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We propose a method for correlation tomography of scatterer signatures using spectroscopic OCT. We visualize spatial correlations of 5.3μm and 7.7μm polystyrene beads, and cell nuclei of A431 cells using HSV color space.
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Wiseman, Paul W., and Jeffrey A. Squier. "Two-photon image correlation spectroscopy and image cross-correlation spectroscopy." In BiOS 2001 The International Symposium on Biomedical Optics, edited by Ammasi Periasamy and Peter T. C. So. SPIE, 2001. http://dx.doi.org/10.1117/12.424565.

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Tseng, C. S., P. Tin, M. de Mul, W. V. Meyer, J. B. Lando, and J. A. Mann. "Laser Light Scattering Spectroscopy Combined With Brewster Angle Microscopy: nCB and Polymer Monolayers." In Photon Correlation and Scattering. Optica Publishing Group, 1996. http://dx.doi.org/10.1364/pcs.1996.fa.5.

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Brewster Angle Microscopy (BAM) is a powerful tool to image the structure of monomolecular films1,2. Laser Light Scattering Spectroscopy (LLSS) is used to measure the surface visco-elastic coefficients Ke=G¯+K¯ and KV=η¯+ζ¯ as a function of surface density. In addition, since the surface pressure vs. surface density is known, the isotherm compressibility vs. surface density can be estimated. These numbers will be compared for the liquid crystal, nCB systems that collapse to multilayers reversibly and for certain polymer systems to be used as alignment layers in liquid crystal video display app
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Graham, B. T., and C. Price. "Extensions of spatiotemporal image correlation spectroscopy." In 2015 41st Annual Northeast Biomedical Engineering Conference (NEBEC). IEEE, 2015. http://dx.doi.org/10.1109/nebec.2015.7117166.

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Wiseman, Paul W., Jeffrey A. Squier, and Kent R. Wilson. "Dynamic image correlation spectroscopy (ICS) and two-color image cross-correlation spectroscopy (ICCS): concepts and application." In BiOS 2000 The International Symposium on Biomedical Optics, edited by Jose-Angel Conchello, Carol J. Cogswell, Andrew G. Tescher, and Tony Wilson. SPIE, 2000. http://dx.doi.org/10.1117/12.384193.

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Wiseman, Paul W., and Jeffrey A. Squier. "Measurement of cell surface protein dynamics by two-photon image correlation spectroscopy and image cross-correlation spectroscopy." In High-Power Lasers and Applications, edited by Glenn S. Edwards, Joseph Neev, Andreas Ostendorf, and John C. Sutherland. SPIE, 2002. http://dx.doi.org/10.1117/12.461365.

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Wiseman, Paul W., and Jeffrey A. Squier. "Live cell studies of adhesion receptors by two-photon image correlation spectroscopy and image cross-correlation spectroscopy." In International Symposium on Biomedical Optics, edited by Ammasi Periasamy and Peter T. C. So. SPIE, 2002. http://dx.doi.org/10.1117/12.470675.

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Sarkar, Anirban, Irène Wang, Aditya Katti, Jörg Enderlein, Jacques Derouard, and Antoine Delon. "Fluorescence speckle image correlation spectroscopy (Conference Presentation)." In Unconventional Optical Imaging II, edited by Corinne Fournier, Marc P. Georges, and Gabriel Popescu. SPIE, 2020. http://dx.doi.org/10.1117/12.2558129.

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Sarkar, Soumyajit, Mohammad Zaffar, and Hari M. Varma. "Laser speckle correlation microscopy system to image microvasculature perfusion." In Diffuse Optical Spectroscopy and Imaging, edited by Davide Contini, Yoko Hoshi, and Thomas D. O'Sullivan. SPIE, 2023. http://dx.doi.org/10.1117/12.2670792.

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Chen, Juntong, Wei Yin, Chao Zuo, and Shijie Feng. "Fast 3D measurement method based on improved digital image correlation using grid-based feature extraction." In Applied Industrial Spectroscopy. OSA, 2021. http://dx.doi.org/10.1364/ais.2021.jth6a.27.

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