In vivo flow mapping in complex vessel networks by single image correlation

Scientific Reports

Volumn 4, Issue , 2014, Pages

  Sironi, Laura ^a   Bouzin, Margaux ^a   Inverso, Donato ^b,d   D'Alfonso, Laura ^a   Pozzi, Paolo ^a   Cotelli, Franco ^c   Guidotti, Luca G ^b   Iannacone, Matteo ^b,d   Collini, Maddalena ^a   Chirico, Giuseppe ^a  

^a UNIVERSITY OF MILANO BICOCCA   (Italy)

^b SAN RAFFAELE HOSPITAL   (Italy)

^c UNIVERSITY OF MILAN   (Italy)

^d VITA SALUTE SAN RAFFAELE UNIVERSITY   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

ANATOMY AND HISTOLOGY; ANIMAL; BLOOD FLOW VELOCITY; CAPILLARY; COMPUTER ASSISTED DIAGNOSIS; CONFOCAL MICROSCOPY; FLOW KINETICS; FLUORESCENCE MICROSCOPY; MICROCIRCULATION; MOUSE; PHYSIOLOGY; PROCEDURES; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; STATISTICS; ZEBRA FISH;

ANIMALS; BLOOD FLOW VELOCITY; CAPILLARIES; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MICE; MICROCIRCULATION; MICROSCOPY, CONFOCAL; MICROSCOPY, FLUORESCENCE; REPRODUCIBILITY OF RESULTS; RHEOLOGY; SENSITIVITY AND SPECIFICITY; STATISTICS AS TOPIC; ZEBRAFISH;

EID: 84923381878     PISSN: None     EISSN: 20452322     Source Type: Journal    
DOI: 10.1038/srep07341     Document Type: Article

References (40)

1. Tuma, R. F., Duran, W. N. & Ley, K. Microcirculation. Handbook of Physiology. Second Edition, Elsevier Science (2008).
2. Carmeliet, P. et al. Angiogenesis in health and disease. Nat. Med. 9, 653-660 (2003).
3. Jain, R. K. et al. Molecular regulation of vessel maturation. Nat. Med. 9, 685-693 (2003).
4. Adams, R. H. & Alitalo, K. Molecular regulation of angiogenesis and lymphangiogenesis. Nat. Rev. Mol. Cell. Biol. 8, 464-478 (2007).
5. Briers, J. D. Laser Doppler, speckle and related techniques for blood perfusion mapping and imaging. Physiol. Meas. 22, R35-R66 (2001).
6. Calamante, F., Thomas, D. L., Pell, G. S., Wiersma, J. & Turner R. Measuring cerebral blood flow using magnetic resonance imaging techniques. J. Cerebr. Blood F. Met. 19, 701-735 (1999).
7. Srinivasan, V. J. et al. Quantitative cerebral blood flow with optical coherence tomography. Opt. Expr. 18, 2477-2494 (2010).
8. Macé, E. et al. Functional ultrasound imaging of the brain. Nat. Methods 8, 662-664 (2011).
9. Santisakultarm, T. P. et al. In vivo two-photon excited fluorescence microscopy reveals cardiac-And respiration-dependent pulsatile blood flow in cortical blood vessels in mice. Am. J. Physiol. Heart. Circ. Physiol. 302, H1367-H1377 (2012).
10. Shih, A. Y. et al. Two-photonmicroscopy as a tool to study blood flow and neurovascular coupling in the rodent brain. J. Cerebr. Blood F. Met. 32, 1277-1309 (2012).
11. Miyawaki, A. Innovations in the imaging of brain functions using fluorescent proteins. Neuron 48, 189-199 (2005).
12. Helmchen, F. & Kleinfeld, D. In vivo measurement of blood flow and glial cell function with two-photon laser scanning microscopy. Methods Enzymol. 444, 231-254 (2008).
13. Kim, T. N. et al. Line-scanning particle image velocimetry: an optical approach for quantifying a wide range of blood flow speeds in live animals. PLOS ONE 7 (6) (2012).
14. Raffel, M.,Willert, C.,Wereley, S. & Kompenhans, J. Particle image velocimety: a practical guide. Second Edition. Springer-Verlag Berlin Heidelberg New York (2007).
15. Brinkmeier, M., Dörre, K., Stephan, J. & Eigen,M. Two-beam cross-correlation: a method to characterize transport phenomena in micrometer-sized structure. Anal. Chem. 71, 609-616 (1999).
16. Pozzi, P. et al. Electron multiplying charge-coupled device-based fluorescence cross-correlation spectroscopy for blood velocimetry on zebrafish embryos. J. Biomed. Opt. 19, 067007 (2014).
17. Pan, X., Shi, X., Korzh, V., Yu, H. & Wohland, T. Line scan fluorescence correlation spectroscopy for three-dimensional microfluidic flow velocity measurements. J. Biomed. Opt. 14 (2), 024049 (2009).
18. Rossow, M., Mantulin,W.W. & Gratton, E. Scanning laser image correlation for measurement of flow. J. Biomed. Opt. 15, 026003 (2010).
19. Kleinfeld, D., Mitra, P. P., Helmchen, F. & Denk, W. Fluctuations and stimulusinduced changes in blood flow observed in individual capillaries in layers 2 through 4 of rat neocortex. Proc. Natl. Acad. Sci. 95, 15741-15746 (1998).
20. Driscoll, J. D., Shih, A. Y., Drew, P. J. & Kleinfeld, D. Quantitative two-photon imaging of blood flow in cortex. Imaging in neuroscience and development Vol. 2. New York: Cold Spring Harbor Laboratory Press, 927-937 (2011).
21. Drew, P. J., Blinder, P., Cauwenberghs, G., Shih, A. Y. & Kleinfeld, D. Rapid determination of particle velocity from space-time images using the Radon transform. J. Comput. Neurosci. 29, 5-11 (2010).
22. Wiseman, P.W., Squier, J. A., Ellisman, M. H. &Wilson, K. R. Two-photon image correlation spectroscopy and image cross-correlation spectroscopy. J. Micr. 200, 14-25 (2000).
23. Digman, M. A. et al. Measuring fast dynamics in solutions and cells with a laser scanning microscope. Biophys. J. 89, 1317-1327 (2005).
24. Hebert, B., Costantino, S. & Wiseman, P. W. Spatiotemporal image correlation spectroscopy (STICS) theory, verification, and application to protein velocity mapping in living CHO cells. Biophys. J. 88, 3601-3614 (2005).
25. Coppola, S. et al. Quantitative measurement of intracellular transport of nanocarriers by spatio-temporal image correlation spectroscopy. Methods Appl. Fluoresc. 1, 015005 (2013).
26. Rossow,M. J., Sasaki, J. M., Digman, M. A. & Gratton, E. Raster image correlation spectroscopy in live cells. Nat. Protoc. 5 (11), 1761-1774 (2010).
27. Wu, B., Chen, Y. & Müller, J. D. Fluorescence correlation spectroscopy of finitesized particles. Biophys. J. 94, 2800-2808 (2008).
28. Higgins, J. M., Eddington, D. T., Bhatia, S. N. & Mahadevan, L. Statistical dynamics of flowing red blood cells by morphological image processing. PLOS ONE 5, 2, 1000288 (2009).
29. Chico, T. J. A., Ingham, P.W. & Crossman, D. C.Modeling cardiovascular disease in the Zebrafish. Trends Cardiovasc. Med. 18, 150-155 (2008).
30. Tobia, C., De Sena, G. & Presta, M. Zebrafish embryo, a tool to study tumor angiogenesis. Int. J. Dev. Biol. 55 (4-5), 505-9 (2011).
31. Shi, X. et al. Sensitivity in zebrafish and drosophila embryos by fluorescence correlation spectroscopy. Dev. Dynam. 238, 3156-3167 (2009)
32. Vollmar, B. & Menger, M. The hepatic microcirculation: mechanistic contributions and therapeutic targets in liver injury and repair. Physiol. Rev. 89, 1269-1339 (2009).
33. Helmchen, F. & Denk, W. Deep tissue two-photon microscopy. Nat. Methods 2 (12), 932-40 (2005).
34. Caccia, M. et al. Image filtering for two-photon deep imaging of limph nodes. Eur. Biophys. J. 37 (6), 979-87 (2008).
35. Reyes-Aldasoro, C. C., Akerman, S. & Tozer, G. M. Measuring the velocity of fluorescently labeled red blood cells with a keyhole tracking algorithm. J. Micr. 229, 162-173 (2008).
36. Guo, D., van de Ven, A. L. & Zhou, X. Red blood cell tracking using optical flow methods. IEEE J. Biomed. Health Inform. 18, 991-998 (2014).
37. Kamoun, W. S. et al. Simultaneous measurement of RBC velocity, flux, hematocrit and shear rate in tumor vascular networks. Nat. Methods 7 (8), 655-660 (2010).
38. Geissmann, F. et al. Intravascular immune surveillance by CXCR61 NKT cells patrolling liver sinusoids. PLOS Biol. 3 (4), 0650-0661 (2005).
39. Guidotti, L. G. & Chisari, F. V. Immobiology and pathogenesis of viral hepatitis. Annu. Rev. Pathol. 1, 23-61 (2006).
40. Traver, D. et al. Transplantation and in vivo imaging of multilineage engraftment in zebrafish bloodless mutants. Nat. Immonol. 4, 1238-1246 (2003).