Theory and practical recommendations for autocorrelation-based image correlation spectroscopy

Journal of Biomedical Optics

Volumn 17, Issue 8, 2012, Pages

  Robertson, Claire ^a,b   George, Steven C ^a,b,c  

^a Irvine   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

^c UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Autocorrelation; Image analysis; Image correlation spectroscopy

Indexed keywords

ARTICLE; COMPUTER AIDED DESIGN; COMPUTER SIMULATION; EQUIPMENT DESIGN; EQUIPMENT FAILURE ANALYSIS; FLUORESCENCE MICROSCOPY; INSTRUMENTATION; METHODOLOGY; MOLECULAR IMAGING; SPECTROFLUOROMETRY; STATISTICS; THEORETICAL MODEL;

COMPUTER SIMULATION; COMPUTER-AIDED DESIGN; EQUIPMENT DESIGN; EQUIPMENT FAILURE ANALYSIS; MICROSCOPY, FLUORESCENCE; MODELS, THEORETICAL; MOLECULAR IMAGING; SPECTROMETRY, FLUORESCENCE; STATISTICS AS TOPIC;

EID: 84874968283     PISSN: 10833668     EISSN: 15602281     Source Type: Journal    
DOI: 10.1117/1.JBO.17.8.080801     Document Type: Article

References (24)

1. N. O. Petersen et al., "Quantitation of membrane receptor distributions by image correlation spectroscopy: concept and application," Biophys. J. 65(3), 1135-1146 (1993). (Pubitemid 23263930)
2. T. Sungkaworn, Y. Lenbury, and V. Chatsudthipong, "Oxidative stress increases angiotensin receptor type I responsiveness by increasing receptor degree of aggregation using image correlation spectroscopy," Biochim. Biophys. Acta 1808(10), 2496-2500 (2011).
3. J. Bonor and A. Nohe, "Image correlation spectroscopy to define membrane dynamics," Methods Mol. Biol. 591, 353-364 (2010).
4. E.Keating, A. Nohe, and N. O. Petersen, "Studies of distribution, location and dynamic properties of EGFR on the cell surface measured by image correlation spectroscopy," Eur. Biophys. J. 37(4), 469-481 (2008).
5. C. B. Raub et al., "Image correlation spectroscopy of multiphoton images correlates with collagen mechanical properties," Biophys. J. 94(6), 2361-2373 (2008).
6. D. L. Kolin and P. W. Wiseman, "Advances in image correlation spectroscopy: measuring number densities, aggregation states, and dynamics of fluorescently labeled macromolecules in cells," Cell Biochem. Biophys. 49(3), 141-164 (2007). (Pubitemid 350242576)
7. J. V. Rocheleau, P.W. Wiseman, and N. O. Petersen, "Isolation of bright aggregate fluctuations in a multipopulation image correlation spectroscopy system using intensity subtraction," Biophys. J. 84(6), 4011-4022 (2003). (Pubitemid 36637893)
8. S. Semrau et al., "Quantification of biological interactions with particle image cross-correlation spectroscopy (PICCS)," Biophys. J. 100(7), 1810-1818 (2011).
9. J. Bove et al., "Magnitude and direction of vesicle dynamics in growing pollen tubes using spatiotemporal image correlation spectroscopy and fluorescence recovery after photobleaching," Plant Physiol. 147(4), 1646-1658 (2008). (Pubitemid 352844210)
10. B. Hebert, S. Costantino, and P. W. Wiseman, "Spatiotemporal image correlation spectroscopy (STICS) theory, verification, and application to protein velocity mapping in living CHO cells," Biophys. J. 88(5), 3601-3614 (2005). (Pubitemid 40586608)
11. M. Rossow, W. W. Mantulin, and E. Gratton, "Spatiotemporal image correlation spectroscopy measurements of flow demonstrated in microfluidic channels," J. Biomed. Opt. 14(2), 024014 (2009).
12. C. M. Brown et al., "Raster image correlation spectroscopy (RICS) for measuring fast protein dynamics and concentrations with a commercial laser scanning confocal microscope," J. Microsc. 229(1), 78-91 (2008). (Pubitemid 350292341)
13. E. Gielen et al., "Measuring diffusion of lipid-like probes in artificial and natural membranes by raster image correlation spectroscopy (RICS): use of a commercial laser-scanning microscope with analog detection," Langmuir 25(9), 5209-5218 (2009).
14. S. C. Norris et al., "Raster image correlation spectroscopy as a novel tool to study interactions of macromolecules with nanofiber scaffolds," Acta Biomaterilas 7(12), 4195-4203 (2011).
15. M. J. Rossow et al., "Raster image correlation spectroscopy in live cells," Nat. Protoc. 5(11), 1761-1774 (2010).
16. M. Vendelin and R. Birkedal, "Anisotropic diffusion of fluorescently labeled ATP in rat cardiomyocytes determined by raster image correlation spectroscopy," Am. J. Physiol. Cell Physiol. 295(5), C1302-1315 (2008). (Pubitemid 352790355)
17. P.W. Wiseman et al., "Counting dendritic spines in brain tissue slices by image correlation spectroscopy analysis," J. Microsc. 205(2), 177-186 (2002). (Pubitemid 34227203)
18. S. Costantino et al., "Accuracy and dynamic range of spatial image correlation and cross-correlation spectroscopy," Biophys. J. 89(2), 1251-1260 (2005). (Pubitemid 41099006)
19. A. M. Petersen and B. K. Pedersen, "The role of IL-6 in mediating the anti-inflammatory effects of exercise," J. Physiol. Pharmacol. 57(10), 43-51 (2006). (Pubitemid 46548766)
20. S. M. Mir, B. Baggett, and U. Utzinger, "The efficacy of image correlation spectroscopy for characterization of the extracellular matrix," Biomed. Opt. Express 3(2), 215-224 (2012).
21. N. Hagen and E. L. Dereniak, "Gaussian profile estimation in two dimensions," Appl. Opt. 47(36), 6842-6851 (2008).
22. N. Hagen, M. Kupinski, and E. L. Dereniak, "Gaussian profile estimation in one dimension," Appl. Opt. 46(22), 5374-5383 (2007). (Pubitemid 47632098)
23. A. Nohe and N. O. Petersen, "Image correlation spectroscopy," Sci. STKE 2007(417), l7-33 (2007).
24. D. Jukić and R. Scitovski, "Least squares fittingGaussian type curve," Appl. Math. Comput. 167(1), 286-298 (2005). (Pubitemid 41316330)