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Automation of 3D reconstruction of neural tissue from large volume of conventional serial section transmission electron micrographs

Mishchenko, Yuriy·2009·Journal of Neuroscience Methods

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Crossref · 10.1016/j.jneumeth.2008.09.006

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Citations

Cites

Research works printed but not linked: 22

  1. Briggman, 2006, Toward neural circuit reconstruction with volume electron microscopy techniques, Curr Opin Neurobiol, 16, 562, 10.1016/j.conb.2006.08.010 · DOI
  2. Carey, 1999, Regularity-preserving image interpolation, IEEE Trans Image Process, 8, 1293, 10.1109/83.784441 · DOI
  3. Carlbom, 1994, Computer-assisted registration, segmentation, and 3D reconstruction from images of neuronal tissue sections, IEEE Trans Med Imaging, 13, 351, 10.1109/42.293928 · DOI
  4. Chen, 2006, Wiring optimization can relate neuronal structure and function, PNAS, 103, 4723, 10.1073/pnas.0506806103 · DOI · Paper page
  5. De Stefano, 2004, Training methods for image noise level estimation on wavelet components, J Appl Signal Process, 16, 2400
  6. Durbin RM. Studies on the development and organization of the nervous system of caenorhabditis elegans. PhD thesis. University of Cambridge; 1987. p. 121.
  7. Fiala, 2001, Extending unbiased stereology of brain ultrastructure to three-dimensional volumes, J Am Med Inform Assoc, 8, 1, 10.1136/jamia.2001.0080001 · DOI
  8. Fiala, 2003, Timing of neuronal and glial ultrastructure disruption during brain slice preparation and recovery in vitro, J Comp Neurol, 465, 90, 10.1002/cne.10825 · DOI
  9. Guy, 1996, Inferring global perceptual contours from local features, Int J Comput Vision, 20, 113, 10.1007/BF00144119 · DOI
  10. Hoshen, 1976, Percolation and cluster distribution. I. Cluster multiple labeling technique and critical concentration algorithm, Phys Rev B, 1, 3438, 10.1103/PhysRevB.14.3438 · DOI
  11. Jurrus E, Tasdizen T, Koshevoy P, Fletcher P, Hardy M, Chien C, et al. Axon tracking in serial block-free scanning electron microscopy. MICCAI 2006 workshop: Copenhagen; 2006.
  12. Kass, 1988, Snakes: active contour models, Int J Comput Vision, 1, 321, 10.1007/BF00133570 · DOI
  13. Laptev, 2000, Automatic extraction of roads from aerial images based on scale space and snakes, Mach Vision Appl, 12, 23, 10.1007/s001380050121 · DOI
  14. Lindeberg, 1993, Detecting salient blob-like image structures and their scales with a scale-space primal sketch: a method for focus-of-attention, Int J Comput Vision, 11, 283, 10.1007/BF01469346 · DOI
  15. Lindeberg, 1998, Edge detection and ridge detection with automatic scale selection, Int J Comput Vision, 30, 117, 10.1023/A:1008097225773 · DOI
  16. Lindeberg, 1999, Automatic scale selection as a pre-processing stage for interpreting the visual world, Proc. FSPIPA, 130, 9
  17. Macke, 2008, Contour-propagation algorithms for semi-automated reconstruction of neural processes, J Neurosci Methods, 167, 349, 10.1016/j.jneumeth.2007.07.021 · DOI
  18. Martin, 2004, Learning to detect natural image boundaries using local brightness, color, and texture cues, IEEE Trans Pattern Anal Mach Intell, 26, 530, 10.1109/TPAMI.2004.1273918 · DOI
  19. Mishchenko Y, Spacek J, Mendenhall J, Harris KM, Chklovskii DB. Reconstruction of hippocampal CA1 neuropil at nanometer resolution reveals disordered packing of processes and dependence of synaptic connectivity on local environment and dendrite caliber. Preprint.
  20. Wang, 2005, Salient closed boundary extraction with ratio contour, IEEE Trans Pattern Anal Mach Intell, 27, 546, 10.1109/TPAMI.2005.84 · DOI
  21. Williams, 1997, Local parallel computation of stochastic completion fields, Neural Comput, 9, 859, 10.1162/neco.1997.9.4.859 · DOI
  22. Williams, 1997, Stochastic completion fields: a neural model of illusory contour shape and salience, Neural Comput, 9, 837, 10.1162/neco.1997.9.4.837 · DOI · Paper page

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