Skip to main content

Laser Scanning Methodologies for Measuring RBC Velocity, Flux, Hematocrit and Shear Rate in Vascular Networks

  • Chapter
  • First Online:
  • 1319 Accesses

Abstract

There are many normal and pathological processes that alter blood flow in a vascular network including thermal regulation, infarction, wounding and neoplasia. Flow changes caused by formation or loss of vascular connections and modulation of vessel diameters can dramatically affect nutrient and drug delivery, but these changes are poorly understood at the level of individual vessel segments and their connected neighborhood. To address this problem, we developed methodology for quantifying blood flow (velocity, flux and hematocrit) in extended networks at the single capillary level. Our approach relies on deconvolution of signals produced by labeled red blood cells as they move relative to the scanning laser of a confocal or multiphoton microscope, and provides fully-resolved three-dimensional flow profiles within tumor vessels. This methodology has sufficient spatiotemporal resolution for extracting blood velocity profiles in vivo and can be used to detect changes in blood vessel classification based on function.

This chapter is derived from Kamoun et al., Nat Methods 2010. Figures have been reproduced here with permission.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD   54.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

References

  1. Fukumura D, Yuan F, Monsky WL et al (1997) Effect of host microenvironment on the microcirculation of human colon adenocarcinoma. Am J Pathol 151:679–688

    PubMed  CAS  Google Scholar 

  2. Brizel DM, Klitzman B, Cook JM et al (1993) A comparison of tumor and normal tissue microvascular hematocrits and red cell fluxes in a rat window chamber model. Int J Radiat Oncol Biol Phys 25:269–276

    Article  PubMed  CAS  Google Scholar 

  3. Endrich B, Reinhold HS, Gross JF et al (1979) Tissue perfusion inhomogeneity during early tumor growth in rats. J Natl Cancer Inst 62:387–395

    PubMed  CAS  Google Scholar 

  4. Nagy JA, Chang SH, Dvorak AM et al (2009) Why are tumour blood vessels abnormal and why is it important to know? Br J Cancer 100:865–869

    Article  PubMed  CAS  Google Scholar 

  5. Kamoun WS, Schmugge SJ, Kraftchick JP et al (2008) Liver microcirculation analysis by red blood cell motion modeling in intravital microscopy images. IEEE Trans Biomed Eng 55:162–170

    Article  PubMed  Google Scholar 

  6. Rosenblum WI, El-Sabban F (1981) Measurement of red cell velocity with a two-slit technique and cross-correlation: use of reflected light, and either regulated dc or unregulated ac power supplies. Microvasc Res 22:225–227

    Article  PubMed  CAS  Google Scholar 

  7. Kleinfeld D, Mitra PP, Helmchen F et al (1998) Fluctuations and stimulus-induced changes in blood flow observed in individual capillaries in layers 2 through 4 of rat neocortex. Proc Natl Acad Sci USA 95:15741–15746

    Article  PubMed  CAS  Google Scholar 

  8. Brown EB, Campbell RB, Tsuzuki Y et al (2001) In vivo measurement of gene expression, angiogenesis and physiological function in tumors using multiphoton laser scanning microscopy. Nat Med 7:864–868

    Article  PubMed  CAS  Google Scholar 

  9. Drew PJ, Blinder P, Cauwenberghs G, Shih AY and Kleinfeld D et al (2009) Rapid determination of particle velocity from space-time images using the Radon transform. J Comput Neuroscience. doi:10.1007/s10827-009-0159-1

    Article  PubMed  Google Scholar 

  10. Lindsey ES, Donaldson GW, Woodruff MF (1966) Erythrocyte survival in normal mice and in mice with autoimmune haemolytic anaemia. Clin Exp Immunol 1:85–98

    PubMed  CAS  Google Scholar 

  11. Jain RK, Munn LL, Fukumura D (2002) Dissecting tumour pathophysiology using intravital microscopy. Nat Rev Cancer 2:266–276

    Article  PubMed  CAS  Google Scholar 

  12. Winkler F, Kozin SV, Tong RT et al (2004) Kinetics of vascular normalization by VEGFR2 blockade governs brain tumor response to radiation: role of oxygenation, angiopoietin-1, and matrix metalloproteinases. Cancer Cell 6:553–563

    PubMed  CAS  Google Scholar 

  13. Tyrrell JA, di Tomaso E, Fuja D et al (2007) Robust 3-D modeling of vasculature imagery using superellipsoids. IEEE Trans Med Imaging 26:223–237

    Article  PubMed  Google Scholar 

  14. Patan S, Tanda S, Roberge S et al (2001) Vascular morphogenesis and remodeling in a human tumor xenograft: blood vessel formation and growth after ovariectomy and tumor implantation. Circ Res 89:732–739

    Article  PubMed  CAS  Google Scholar 

  15. Jain RK, Tong RT, Munn LL (2007) Effect of vascular normalization by antiangiogenic therapy on interstitial hypertension, peritumor edema, and lymphatic metastasis: insights from a mathematical model. Cancer Res 67:2729–2735

    Article  PubMed  CAS  Google Scholar 

  16. Song J, Munn L (2011) Fluid forces control endothelial sprouting. Proc Natl Acad Sci USA 108:15342–15347

    Article  PubMed  CAS  Google Scholar 

  17. Frangos JA, McIntire LV, Eskin SG (1988) Shear stress induced stimulation of mammalian cell metabolism. Biotechnol Bioeng 32:1053–1060

    Article  PubMed  CAS  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Lance L. Munn .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2012 Springer Science+Business Media Dordrecht

About this chapter

Cite this chapter

Munn, L.L., Kamoun, W.S. (2012). Laser Scanning Methodologies for Measuring RBC Velocity, Flux, Hematocrit and Shear Rate in Vascular Networks. In: Zudaire, E., Cuttitta, F. (eds) The Textbook of Angiogenesis and Lymphangiogenesis: Methods and Applications. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-4581-0_25

Download citation

Publish with us

Policies and ethics