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Journal articles on the topic 'Image Correlation Spectroscopy'

Author: Grafiati

Published: 9 March 2023

Last updated: 19 July 2025

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1

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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2

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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3

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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4

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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5

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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6

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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7

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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8

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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9

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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10

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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11

Rossow, Molly J., Jennifer M. Sasaki, Michelle A. Digman, and Enrico Gratton. "Raster image correlation spectroscopy in live cells." Nature Protocols 5, no. 11 (2010): 1761–74. http://dx.doi.org/10.1038/nprot.2010.122.

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12

Wiseman, Paul. "Introduction to Fluorescence and Image Correlation Spectroscopy." Microscopy and Microanalysis 10, S02 (2004): 246–47. http://dx.doi.org/10.1017/s1431927604886483.

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13

Spendier, Kathrin, and James L. Thomas. "Image correlation spectroscopy of randomly distributed disks." Journal of Biological Physics 37, no. 4 (2011): 477–92. http://dx.doi.org/10.1007/s10867-011-9232-x.

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14

Raub, Christopher B., Jay Unruh, Vinod Suresh, et al. "Image Correlation Spectroscopy of Multiphoton Images Correlates with Collagen Mechanical Properties." Biophysical Journal 94, no. 6 (2008): 2361–73. http://dx.doi.org/10.1529/biophysj.107.120006.

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15

Srivastava, M., N. O. Petersen, G. R. Mount, D. M. Kingston, and N. S. McIntyre. "Analysis of three-dimensional SIMS images using image cross-correlation spectroscopy." Surface and Interface Analysis 26, no. 3 (1998): 188–94. http://dx.doi.org/10.1002/(sici)1096-9918(199803)26:3<188::aid-sia359>3.0.co;2-e.

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16

Kang, Kyongok. "Mesoscopic relaxation time of dynamic image correlation spectroscopy." Journal of Biomedical Science and Engineering 03, no. 06 (2010): 625–32. http://dx.doi.org/10.4236/jbise.2010.36085.

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17

Costantino, Santiago, Jonathan W. D. Comeau, David L. Kolin, and Paul W. Wiseman. "Accuracy and Dynamic Range of Spatial Image Correlation and Cross-Correlation Spectroscopy." Biophysical Journal 89, no. 2 (2005): 1251–60. http://dx.doi.org/10.1529/biophysj.104.057364.

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18

Prummer, Michael, Sannah Zoffmann, Vanessa Klug, and Dorothee Kling. "A Cell Motility Assay Based on Image Correlation Spectroscopy." Biophysical Journal 102, no. 3 (2012): 191a—192a. http://dx.doi.org/10.1016/j.bpj.2011.11.1046.

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19

Nohe, Anja, Eleonora Keating, Crystal Loh, Michael T. Underhill, and Nils O. Petersen. "Caveolin-1 isoform reorganization studied by image correlation spectroscopy." Faraday Discussions 126 (2004): 185. http://dx.doi.org/10.1039/b304943d.

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20

Prummer, Michael, Dorothee Kling, Vanessa Trefzer, Thilo Enderle, Sannah Zoffmann, and Marco Prunotto. "A Random Motility Assay Based on Image Correlation Spectroscopy." Biophysical Journal 104, no. 11 (2013): 2362–72. http://dx.doi.org/10.1016/j.bpj.2013.04.031.

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21

Civita, Simone, Ranieri Bizzarri, Paolo Bianchini, and Alberto Diaspro. "Image correlation spectroscopy approaches to probe diffusion in cell." Biophysical Journal 122, no. 3 (2023): 274a. http://dx.doi.org/10.1016/j.bpj.2022.11.1563.

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22

Tanner, Kandice, Donald Ferris, Luca Lanzano, et al. "Image Correlation Spectroscopy Reveals Global Dynamics of Wound Healing." Biophysical Journal 96, no. 3 (2009): 42a. http://dx.doi.org/10.1016/j.bpj.2008.12.114.

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23

Nieves, D. J., Y. Li, D. G. Fernig, and R. Lévy. "Photothermal raster image correlation spectroscopy of gold nanoparticles in solution and on live cells." Royal Society Open Science 2, no. 6 (2015): 140454. http://dx.doi.org/10.1098/rsos.140454.

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Raster image correlation spectroscopy (RICS) measures the diffusion of fluorescently labelled molecules from stacks of confocal microscopy images by analysing correlations within the image. RICS enables the observation of a greater and, thus, more representative area of a biological system as compared to other single molecule approaches. Photothermal microscopy of gold nanoparticles allows long-term imaging of the same labelled molecules without photobleaching. Here, we implement RICS analysis on a photothermal microscope. The imaging of single gold nanoparticles at pixel dwell times short eno

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24

Brewer, Jonathan, Maria Bloksgaard, Jakub Kubiak, and Luis Bagatolli. "Fluorescent Correlation Spectroscopy and Raster Image Correlation Spectroscopy as a Tool to Measure Diffusion in the Human Epidermis." Biophysical Journal 100, no. 3 (2011): 630a. http://dx.doi.org/10.1016/j.bpj.2010.12.3623.

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25

Chushkin, Y., C. Caronna, and A. Madsen. "A novel event correlation scheme for X-ray photon correlation spectroscopy." Journal of Applied Crystallography 45, no. 4 (2012): 807–13. http://dx.doi.org/10.1107/s0021889812023321.

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X-ray photon correlation spectroscopy (XPCS) was employed to measure the time-dependent intermediate scattering function in an organic molecular glass former. Slow translational dynamics were probed in the glassy state and the correlation functions were calculated from two-dimensional speckle patterns recorded by a CCD detector. The image frames were analysed using a droplet algorithm together with an event correlation scheme. This method provides results analogous to standard intensity correlation algorithms but is much faster, hence addressing the recurrent problem of insufficient computing

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26

Benn, A. G., and R. J. Kulperger. "Integrated marked Poisson processes with application to image correlation spectroscopy." Canadian Journal of Statistics 25, no. 2 (1997): 215–31. http://dx.doi.org/10.2307/3315733.

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27

Kolin, David L., Santiago Costantino, and Paul W. Wiseman. "Sampling Effects, Noise, and Photobleaching in Temporal Image Correlation Spectroscopy." Biophysical Journal 90, no. 2 (2006): 628–39. http://dx.doi.org/10.1529/biophysj.105.072322.

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28

Kitamura, Akira, Hiroki Shimizu, and Masataka Kinjo. "Determination of cytoplasmic optineurin foci sizes using image correlation spectroscopy." Journal of Biochemistry 164, no. 3 (2018): 223–29. http://dx.doi.org/10.1093/jb/mvy044.

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29

DE METS, R., A. DELON, M. BALLAND, O. DESTAING, and I. WANG. "Dynamic range and background filtering in raster image correlation spectroscopy." Journal of Microscopy 279, no. 2 (2020): 123–38. http://dx.doi.org/10.1111/jmi.12925.

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30

Rowland, David J., Hannah H. Tuson, and Julie S. Biteen. "Resolving Fast, Confined Diffusion in Bacteria with Image Correlation Spectroscopy." Biophysical Journal 110, no. 10 (2016): 2241–51. http://dx.doi.org/10.1016/j.bpj.2016.04.023.

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31

Ciccotosto, Giuseppe D., Noga Kozer, Timothy T. Y. Chow, James W. M. Chon, and Andrew H. A. Clayton. "Aggregation Distributions on Cells Determined by Photobleaching Image Correlation Spectroscopy." Biophysical Journal 104, no. 5 (2013): 1056–64. http://dx.doi.org/10.1016/j.bpj.2013.01.009.

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32

Robertson, Claire. "Theory and practical recommendations for autocorrelation-based image correlation spectroscopy." Journal of Biomedical Optics 17, no. 8 (2012): 080801. http://dx.doi.org/10.1117/1.jbo.17.8.080801.

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33

Liu, Fulong, Gang Li, Shuqiang Yang, Wenjuan Yan, Guoquan He, and Ling Lin. "Recognition of Heterogeneous Edges in Multiwavelength Transmission Images Based on the Weighted Constraint Decision Method." Applied Spectroscopy 74, no. 8 (2020): 883–93. http://dx.doi.org/10.1177/0003702820908951.

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Multiwavelength light transmission imaging provides a possibility for early detection of breast cancer. However, due to strong scattering during the transmission process of breast tissue analysis, the transmitted image signal is weak and the image is blurred and this makes heterogeneous edge detection difficult. This paper proposes a method based on the weighted constraint decision (WCD) method to eliminate the erosion and checkerboard effects in image histogram equalization (HE) enhancement and to improve the recognition of heterogeneous edge. Multiwavelength transmission images of phantom ar

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34

Rossow, Molly, William W. Mantulin, and Enrico Gratton. "Spatiotemporal image correlation spectroscopy measurements of flow demonstrated in microfluidic channels." Journal of Biomedical Optics 14, no. 2 (2009): 024014. http://dx.doi.org/10.1117/1.3088203.

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35

Gröner, Nadine, Jérémie Capoulade, Christoph Cremer, and Malte Wachsmuth. "Measuring and imaging diffusion with multiple scan speed image correlation spectroscopy." Optics Express 18, no. 20 (2010): 21225. http://dx.doi.org/10.1364/oe.18.021225.

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36

Kurniawan, Nicholas Agung, Chwee Teck Lim, and Raj Rajagopalan. "Image correlation spectroscopy as a tool for microrheology of soft materials." Soft Matter 6, no. 15 (2010): 3499. http://dx.doi.org/10.1039/c002265a.

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37

Semrau, Stefan, Piet Lommerse, Margot Beukers, and Thomas Schmidt. "Adenosine A1 Receptor Signaling Unraveled By Particle Image Correlation Spectroscopy (PICS)." Biophysical Journal 96, no. 3 (2009): 368a. http://dx.doi.org/10.1016/j.bpj.2008.12.1983.

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38

Semrau, Stefan, Laurent Holtzer, Marcos González-Gaitán, and Thomas Schmidt. "Quantification of Biological Interactions with Particle Image Cross-Correlation Spectroscopy (PICCS)." Biophysical Journal 100, no. 7 (2011): 1810–18. http://dx.doi.org/10.1016/j.bpj.2010.12.3746.

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39

Wiseman, Paul W. "Advances in Image Correlation Spectroscopy for Measurements in Heterogeneous Cell Environments." Biophysical Journal 102, no. 3 (2012): 6a. http://dx.doi.org/10.1016/j.bpj.2011.11.050.

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40

Kulkarni, R. P., D. D. Wu, M. E. Davis, and S. E. Fraser. "Quantitating intracellular transport of polyplexes by spatio-temporal image correlation spectroscopy." Proceedings of the National Academy of Sciences 102, no. 21 (2005): 7523–28. http://dx.doi.org/10.1073/pnas.0501950102.

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41

IMMERSTRAND, CHARLOTTE, JOEL HEDLUND, KARL–ERIC MAGNUSSON, TOMMY SUNDQVIST, and KAJSA HOLMGREN PETERSON. "Organelle transport in melanophores analyzed by white light image correlation spectroscopy." Journal of Microscopy 225, no. 3 (2007): 275–82. http://dx.doi.org/10.1111/j.1365-2818.2007.01743.x.

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42

Rocheleau, Jonathan V., and Nils O. Petersen. "The Sendai virus membrane fusion mechanism studied using image correlation spectroscopy." European Journal of Biochemistry 268, no. 10 (2001): 2924–30. http://dx.doi.org/10.1046/j.1432-1327.2001.02181.x.

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43

Danaf, Nader. "Image Correlation Spectroscopy based Assay to Investigate G-Protein Coupled Receptors." Biophysical Journal 112, no. 3 (2017): 146a. http://dx.doi.org/10.1016/j.bpj.2016.11.803.

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44

Staley, Ben, Egor Zindy, and Alain Pluen. "Quantifying uptake and distribution of arginine rich peptides at therapeutic concentrations using fluorescence correlation spectroscopy and image correlation spectroscopy techniques." Drug Discovery Today 15, no. 23-24 (2010): 1099. http://dx.doi.org/10.1016/j.drudis.2010.09.402.

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45

Cainero, Isotta, Elena Cerutti, Mario Faretta, et al. "Measuring Nanoscale Distances by Structured Illumination Microscopy and Image Cross-Correlation Spectroscopy (SIM-ICCS)." Sensors 21, no. 6 (2021): 2010. http://dx.doi.org/10.3390/s21062010.

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Since the introduction of super-resolution microscopy, there has been growing interest in quantifying the nanoscale spatial distributions of fluorescent probes to better understand cellular processes and their interactions. One way to check if distributions are correlated or not is to perform colocalization analysis of multi-color acquisitions. Among all the possible methods available to study and quantify the colocalization between multicolor images, there is image cross-correlation spectroscopy (ICCS). The main advantage of ICCS, in comparison with other co-localization techniques, is that i

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46

Semrau, S., and T. Schmidt. "Particle Image Correlation Spectroscopy (PICS): Retrieving Nanometer-Scale Correlations from High-Density Single-Molecule Position Data." Biophysical Journal 92, no. 2 (2007): 613–21. http://dx.doi.org/10.1529/biophysj.106.092577.

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47

Chakraborty, Hirak, Md Jafurulla, Andrew H. A. Clayton, and Amitabha Chattopadhyay. "Exploring oligomeric state of the serotonin1A receptor utilizing photobleaching image correlation spectroscopy: implications for receptor function." Faraday Discussions 207 (2018): 409–21. http://dx.doi.org/10.1039/c7fd00192d.

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48

Arrabito, G., F. Cavaleri, V. Montalbano, V. Vetri, M. Leone, and B. Pignataro. "Monitoring few molecular binding events in scalable confined aqueous compartments by raster image correlation spectroscopy (CADRICS)." Lab on a Chip 16, no. 24 (2016): 4666–76. http://dx.doi.org/10.1039/c6lc01072e.

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49

Hao, Huiyan, Wenyu Liu, and Xulin Yu. "Detection of Abnormal Blood Flow Region Based on Near Infrared Correlation Spectroscopy." Photonics 11, no. 9 (2024): 798. http://dx.doi.org/10.3390/photonics11090798.

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Blood flow measurement of microvessels in human tissues is of vital importance for the diagnosis and treatment of many diseases. In this paper, the detection method of abnormal blood flow regions based on near-infrared correlation spectroscopy is studied. We used the NL-Bregman-TV imaging algorithm to realize Blood flow imaging. However, due to the limitation of the number and distribution of detectors, the pixels obtained from images are extremely low, which cannot meet the practical requirements of the visual and the abnormal blood flow range measurement. In this paper, the bicubic interpola

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50

Bachir, Alexia I., Nela Durisic, Benedict Hebert, Peter Grütter, and Paul W. Wiseman. "Characterization of blinking dynamics in quantum dot ensembles using image correlation spectroscopy." Journal of Applied Physics 99, no. 6 (2006): 064503. http://dx.doi.org/10.1063/1.2175470.

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