Live neuron morphology automatically reconstructed from multiphoton and confocal imaging data

Journal of Neurophysiology

Volumn 100, Issue 4, 2008, Pages 2422-2429

  Losavio, Bradley E ^a   Liang, Yong ^b   Santamaría Pang, Alberto ^c   Kakadiaris, Ioannis A ^c   Colbert, Costa M ^a,d   Saggau, Peter ^a,e  

^a UNIVERSITY OF HOUSTON   (United States)

^b University of Houston   (United States)

^c University of Houston   (United States)

^d Evolved Machines   (United States)

^e BAYLOR COLLEGE OF MEDICINE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ANIMAL TISSUE; ARTICLE; BRAIN SLICE; CELL STRUCTURE; COMPUTER PROGRAM; COMPUTER SIMULATION; CONFOCAL MICROSCOPY; CONTROLLED STUDY; DENDRITIC CELL; LASER MICROSCOPY; MULTIPHOTON MICROSCOPY; NERVE CELL; NONHUMAN; PRIORITY JOURNAL; QUANTITATIVE ANALYSIS; RAT; THREE DIMENSIONAL IMAGING;

ANIMALS; CAPILLARIES; COMPUTER SIMULATION; DENDRITES; IMAGE PROCESSING, COMPUTER-ASSISTED; MICROSCOPY, CONFOCAL; NEURONS; PYRAMIDAL CELLS; RATS; RATS, SPRAGUE-DAWLEY; SYNAPSES;

EID: 57349177834     PISSN: 00223077     EISSN: 15221598     Source Type: Journal    
DOI: 10.1152/jn.90627.2008     Document Type: Article

References (26)

1. Ascoli G. Mobilizing the base of neuroscience data: the case of neuronal morphologies. Nat Rev Neurosci 7: 318-324, 2006.
2. Brette R, Rudolph M, Carnevale T, Hines M, Beeman D, Bower JM, Diesmann M, Morrison A, Goodman PH, Harris FC Jr, Zirpe M, Natschläger T, Pecevski D, Ermentrout B, Djurfeldt M, Lansner A, Rochel O, Vieville T, Muller E, Davison AP, El-Boustani S, Destexhe A. Simulation of networks of spiking neurons: a review of tools and strategies. J Comput Neurosci 23: 349-398, 2007.
3. Brown T, Tran I, Backos D, Esteban J. NMDA receptor-dependent activation of the small GTPase Rab5 drives the removal of synaptic AMPA receptors during hippocampal LTD. Neuron 45: 81-94, 2005.
4. Carnevale N, Tsai K, Claiborne B, Brown T. Comparative electrotonic analysis of three classes of rat hippocampal neurons. J Neurophysiol 78: 703-720, 1997.
5. Carnevale NT, Hines ML. The NEURON Book. Cambridge, UK: Cambridge Univ. Press, 2006.
6. Evers J, Schmitt S, Sibila M, Duch C. Progress in functional neuroanatomy: precise automatic geometric reconstruction of neuronal morphology from confocal image stacks. J Neurophysiol 93: 2331-2342, 2005.
7. Gliko O, Reddy GD, Anvari B, Brownell WE, Saggau P. Standing wave total internal reflection microscopy to measure the size of nanostructures in living cells. J Biomed Opt 11: 64013, 2006.
8. + channel regulation of signal propagation in dendrites of hippocampal pyramidal neurons. Nature 387: 869-875, 1997.
9. Holmes A, Weedmark K, Gloor G. Mutations in the extra sex combs and enhancer of polycomb genes increase homologous recombination in somatic cells of drosophila melanogaster. Genetics 172: 2367-2377, 2006.
10. 2+ channels in dendritic spines by activation of β2 adrenergic receptors. J Neuroscience 24: 416-8427, 2004.
11. Iyer V, Hoogland T, Saggau P. Fast functional imaging of single neurons using random-access multiphoton (RAMP) microscopy. J Neurophysiol 95: 535-545, 2006.
12. Iyer V, Hoogland TM, Losavio BE, McQuiston AR, Saggau P. A compact two-photon laser-scanning microscope made from minimally modified commercial components. Prog Biomed Opt Imag 3: 274-280, 2002.
13. Levy WB. Computational models of learning in simple neural systems. In: Computational Models of Learning in Simple Neural Systems, edited by Hawkins RD, Bower GH. San Diego, CA: Academic Press, 1989, p. 243-305.
14. Mainen Z, Sejnowski T. Reliability of spike timing in neocortical neurons. Science 268: 1503-1506, 1995.
15. Mel BW. Synaptic integration in an excitable dendritic tree. J Neurophysiol 70: 1086-1110, 1993.
16. Migliore M, Ferrante M, Ascoli G. Signal propagation in oblique dendrites of CA1 pyramidal cells. J Neurophysiol 94: 4145-4155, 2005.
17. Poirazi P, Mel BW. Impact of active dendrites and structural plasticity on the memory capacity of neural tissue. Neuron 29: 779-796, 2001.
18. Rall W. Core conductor theory and cable properties of neurons. In: Handbook of Physiology. The Nervous System. Cellular Biology of Neurons. Bethesda, MD: Am. Physiol. Soc., 1977, sect. 1, vol. I, pt. 1, p. 39-98.
19. Reddy GD, Kelleher K, Fink R, Saggau P. Three-dimensional random access multiphoton microscopy for functional imaging of neuronal activity. Nat Neurosci 11: 713-720, 2008.
20. Santamaría-Pang A, Bildea TS, Tan S, Kakadiaris IA. Denoising for 3D photon-limited imaging data using non-separable fiter banks. IEEE Trans Image Proc 17: 2008.
21. Santamaría-Pang A, Colbert CM, Losavio B, Saggau P, Kakadiaris IA. Automatic morphological reconstruction of neurons from optical images. In: Proceedings of the International Workshop in Microscopic Image Analysis and Applications in Biology (MIAAB), September 21, 2007, Piscataway, NJ, 2007a, p. 1-8.
22. Santamaría-Pang A, Colbert CM, Saggau P, Kakadiaris IA. Automatic centerline extraction of irregular tubular structures using probability volumes from multiphoton imaging. In: Proceedings of the Medical Image Computing and Computer-Assisted Intervention, October 2007, Brisbane, Australia, 2007b, p. 486-494.
23. Stuart G, Spruston N, Hausser M. Dendrites. Oxford, UK: Oxford Univ. Press, 1999.
24. Wearne S, Rodriguez A, Ehlenrger D, Rocher A, Henderson S, Hof P. New techniques for imaging, digitization and analysis of three-dimensional neural morphology on multiple scales. Neuroscience 136: 661-680, 2005.
25. Wouterlood FG, Vinkenoog M, van-den-Oever M. Tracing tools to resolve neural circuits. Network 13: 327-342, 2002.
26. Zhu C, Byrd RH, Nocedal J. L-BFGS-B Algorithm 778: L-BFGS-B, FORTRAN routines for large scale bound constrained optimization. ACM Trans Math Software 23: 550 -560, 1997.