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Biomedical Optics Express

Biomedical Optics Express

  • Editor: Joseph A. Izatt
  • Vol. 2, Iss. 10 — Oct. 1, 2011
  • pp: 2888–2896

Fast macro-scale transmission imaging of microvascular networks using KESM

David Mayerich, Jaerock Kwon, Chul Sung, Louise Abbott, John Keyser, and Yoonsuck Choe  »View Author Affiliations


Biomedical Optics Express, Vol. 2, Issue 10, pp. 2888-2896 (2011)
http://dx.doi.org/10.1364/BOE.2.002888


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Abstract

Accurate microvascular morphometric information has significant implications in several fields, including the quantification of angiogenesis in cancer research, understanding the immune response for neural prosthetics, and predicting the nature of blood flow as it relates to stroke. We report imaging of the whole mouse brain microvascular system at resolutions sufficient to perform accurate morphometry. Imaging was performed using Knife-Edge Scanning Microscopy (KESM) and is the first example of this technique that can be directly applied to clinical research. We are able to achieve ≈ 0.7μm resolution laterally with 1μm depth resolution using serial sectioning. No alignment was necessary and contrast was sufficient to allow segmentation and measurement of vessels.

© 2011 OSA

OCIS Codes
(110.0180) Imaging systems : Microscopy
(170.1020) Medical optics and biotechnology : Ablation of tissue
(170.3880) Medical optics and biotechnology : Medical and biological imaging
(170.2945) Medical optics and biotechnology : Illumination design

ToC Category:
Microscopy

History
Original Manuscript: July 19, 2011
Revised Manuscript: August 29, 2011
Manuscript Accepted: September 19, 2011
Published: September 29, 2011

Citation
David Mayerich, Jaerock Kwon, Chul Sung, Louise Abbott, John Keyser, and Yoonsuck Choe, "Fast macro-scale transmission imaging of microvascular networks using KESM," Biomed. Opt. Express 2, 2888-2896 (2011)
http://www.opticsinfobase.org/boe/abstract.cfm?URI=boe-2-10-2888


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References

  1. S. E. Ungersma, G. Pacheco, C. Ho, S. F. Yee, J. Ross, N. van Bruggen, F. V. Peale, S. Ross, and R. A. Carano, “Vessel imaging with viable tumor analysis for quantification of tumor angiogenesis,” Magnetic Resonance in Medicine63, 1637–1647 (2010). [CrossRef] [PubMed]
  2. A. R. Pries, A. J. M. Cornelissen, A. A. Sloot, M. Hinkeldey, M. R. Dreher, M. Hpfner, M. W. Dewhirst, and T. W. Secomb, “Structural adaptation and heterogeneity of normal and tumor microvascular networks,” PLoS Computational Biology5, e1000394 (2009). [CrossRef] [PubMed]
  3. A. B. Schwartz, X. T. Cui, D. J. Weber, and D. W. Moran, “Brain-Controlled interfaces: Movement restoration with neural prosthetics,” Neuron52, 205–220 (2006). [CrossRef] [PubMed]
  4. P. Blinder, A. Y. Shih, C. Rafie, and D. Kleinfeld, “Topological basis for the robust distribution of blood to rodent neocortex,” Proceedings of the National Academy of Sciences107, 12670 –12675 (2010). [CrossRef]
  5. B. R. Shepherd, H. Y. Chen, C. M. Smith, G. Gruionu, S. K. Williams, and J. B. Hoying, “Rapid perfusion and network remodeling in a microvascular construct after implantation,” Arteriosclerosis, Thrombosis, Vascular Biology24, 898 –904 (2004). [CrossRef]
  6. F. Cassot, F. Lauwers, S. Lorthois, P. Puwanarajah, V. Cances-Lauwers, and H. Duvernoy, “Branching patterns for arterioles and venules of the human cerebral cortex,” Brain Research1313, 62–78 (2010). [CrossRef]
  7. F. Lauwers, F. Cassot, V. Lauwers-Cances, P. Puwanarajah, and H. Duvernoy, “Morphometry of the human cerebral cortex microcirculation: General characteristics and space-related profiles,” NeuroImage39, 936–948 (2008). [CrossRef]
  8. P. S. Tsai, B. Friedman, A. Ifarraguerri, B. D. Thompson, V. Lev-Ram, C. B. Schaer, Q. Xiong, R. Y. Tsien, J. A. Squier, and D. Kleinfeld, “All-Optical histology using ultrashort laser pulses,” Neuron39, 27–41 (2003). [CrossRef] [PubMed]
  9. S. Heinzer, T. Krucker, M. Stampanoni, R. Abela, E. P. Meyer, A. Schuler, P. Schneider, and R. Muller, “Hierarchical microimaging for multiscale analysis of large vascular networks,” NeuroImage32, 626–636 (2006). [CrossRef] [PubMed]
  10. T. Krucker, A. Lang, and E. P. Meyer, “New polyurethane-based material for vascular corrosion casting with improved physical and imaging characteristics,” Microscopy research and technique69, 138–147 (2006). [CrossRef] [PubMed]
  11. Y. Choe, D. Han, P. Huang, J. Keyser, J. Kwon, D. Mayerich, and L. Abbott, “Complete submicrometer scans of mouse brain microstructure: Neurons and vasculatures,” in “2009 Neuroscience Meeting Planner,” (Chicago, IL: Society for Neuroscience, 2009). Program No. 389.10. Online.
  12. D. Mayerich, J. Kwon, Y. Choe, L. Abbott, and J. Keyser, “Constructing high resolution microvascular models,” in “Third Workshop on Microscopic Image Analysis with Applications in Biology,” (2008).
  13. A. Li, H. Gong, B. Zhang, Q. Wang, C. Yan, J. Wu, Q. Liu, S. Zeng, and Q. Luo, “Micro-Optical sectioning tomography to obtain a High-Resolution atlas of the mouse brain,” Science330, 1404 –1408 (2010). [CrossRef] [PubMed]
  14. F. Cassot, F. Lauwers, C. Fouard, S. Prohaska, and V. Lauwers-Cances, “A novel Three-Dimensional Computer-Assisted method for a quantitative study of microvascular networks of the human cerebral cortex,” Microcirculation13, 1–18 (2006). [CrossRef] [PubMed]
  15. S. Akita, N. Tamai, A. Myoui, M. Nishikawa, T. Kaito, K. Takaoka, and H. Yoshikawa, “Capillary vessel network integration by inserting a vascular pedicle enhances bone formation in Tissue-Engineered bone using interconnected porous hydroxyapatite ceramics,” Tissue Engineering10, 789–795 (2004). [CrossRef] [PubMed]
  16. E. M. Renkin, S. D. Gray, and L. R. Dodd, “Filling of microcirculation in skeletal muscles during timed india ink perfusion,” American Journal of Physiology - Heart and Circulatory Physiology241, H174 –H186 (1981).
  17. L. C. Abbott and C. Sotelo, “Ultrastructural analysis of catecholaminergic innervation in weaver and normal mouse cerebellar cortices,” The Journal of Comparative Neurology426, 316–329 (2000). [CrossRef] [PubMed]
  18. D. Mayerich, L. C. Abbott, and B. H. McCormick, “Knife-Edge scanning microscopy for imaging and reconstruction of Three-Dimensional anatomical structures of the mouse brain,” Journal of Microscopy231, 134–143 (2008). [CrossRef] [PubMed]
  19. K. D. Micheva and S. J. Smith, “Array tomography: A new tool for imaging the molecular architecture and ultrastructure of neural circuits,” Neuron55, 25–36 (2007). [CrossRef] [PubMed]
  20. M. Wiercigroch and E. Budak, “Sources of nonlinearities, chatter generation and suppression in metal cutting,” Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences359, 663–693 (2001). [CrossRef]
  21. D. Mayerich, B. H. McCormick, and J. Keyser, “Noise and artifact removal in Knife-Edge scanning microscopy,” Proceedings of the 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro pp. 556–559 (2007). [CrossRef]
  22. X. He, E. Kischell, M. Rioult, and T. J. Holmes, “Three-Dimensional thinning algorithm that peels the outmost layer with application to neuron tracing,” Journal of Computer-Assisted Microscopy10, 123–135 (1998). [CrossRef]
  23. T. C. Lee, R. L. Kashyap, and C. N. Chu, “Building skeleton models via 3-D medial surface/axis thinning algorithms,” Graphical Models and Image Processing56, 462–478 (1994). [CrossRef]
  24. T. S. Yoo, Insight into Images: Principles and Practice for Segmentation, Registration, and Image Analysis (A K Peters/CRC Press, 2004), 1st ed. [CrossRef]
  25. J. A. Sethian, Level Set Methods and Fast Marching Methods: Evolving Interfaces in Computational Geometry, Fluid Mechanics, Computer Vision, and Materials Science (Cambridge University Press, 1999).
  26. C. Sung, J. R. Chung, D. Mayerich, J. Kwon, D. Miller, T. Huffman, J. Keyser, L. Abbott, and Y. Choe, “Knife-edge scanning microscope brain atlas: A submicrometer-resolution web-based mouse brain atlas,” in “2011 Neuroscience Meeting Planner,” (Chicago, IL: Society for Neuroscience, 2011). Program No. 328.05. Online.

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