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Volumn 77, Issue 7, 2010, Pages 693-704

Neuron tracing in perspective

Author keywords

Bioimage informatics; Databases; Digital reconstruction; Image segmentation; Neuroinformatics; Neuron tracing; Neuroscience; Pattern recognition; Quantitative image analysis; Software Tools

Indexed keywords

ALGORITHM; ANIMAL; COMPUTER PROGRAM; COMPUTER SIMULATION; CYTOLOGY; FACTUAL DATABASE; IMAGE PROCESSING; INSTRUMENTATION; METHODOLOGY; NERVE CELL; REVIEW; STAINING; THREE DIMENSIONAL IMAGING; DEVICES; PROCEDURES;

EID: 77954289614     PISSN: 15524922     EISSN: 15524930     Source Type: Journal    
DOI: 10.1002/cyto.a.20895     Document Type: Review
Times cited : (312)

References (134)
  • 5
    • 50549104043 scopus 로고    scopus 로고
    • Bioimage informatics: A new area of engineering biology
    • Peng H. Bioimage informatics: A new area of engineering biology. Bioinformatics 2008;24:1827-1836.
    • (2008) Bioinformatics , vol.24 , pp. 1827-1836
    • Peng, H.1
  • 6
    • 0034749185 scopus 로고    scopus 로고
    • The need for integrating neuronal morphology databases and computational environments in exploring neuronal structure and function
    • Van Pelt J, Van Ooyen A, Uylings HB. The need for integrating neuronal morphology databases and computational environments in exploring neuronal structure and function. Anat Embryol 2001;204:255-265.
    • (2001) Anat Embryol , vol.204 , pp. 255-265
    • Van Pelt, J.1    Van Ooyen, A.2    Uylings, H.B.3
  • 7
    • 84892428552 scopus 로고    scopus 로고
    • Understanding the brain through neuroinformatics
    • Bjaalie JG. Understanding the brain through neuroinformatics. Frontiers Neurosci 2008;2:19-21.
    • (2008) Frontiers Neurosci , vol.2 , pp. 19-21
    • Bjaalie, J.G.1
  • 8
    • 58149327472 scopus 로고    scopus 로고
    • The central role of neuroinformatics in the National Academy of Engineering's grandest challenge: Reverse engineer the brain
    • Roysam B, Shain W, Ascoli GA. The central role of neuroinformatics in the National Academy of Engineering's grandest challenge: Reverse engineer the brain. Neuroinformatics 2009;7:1-5.
    • (2009) Neuroinformatics , vol.7 , pp. 1-5
    • Roysam, B.1    Shain, W.2    Ascoli, G.A.3
  • 10
    • 38849161351 scopus 로고    scopus 로고
    • Neuroinformatics grand challenges
    • Ascoli GA. Neuroinformatics grand challenges. Neuroinformatics 2008;6:1-3.
    • (2008) Neuroinformatics , vol.6 , pp. 1-3
    • Ascoli, G.A.1
  • 12
    • 27844496066 scopus 로고    scopus 로고
    • A cross-platform freeware tool for digital reconstruction of neuronal arborizations from image stacks
    • Brown KM, Donohue DE, D'alessandro G, Ascoli GA. A cross-platform freeware tool for digital reconstruction of neuronal arborizations from image stacks. Neuroinformatics 2005;3:343-359.
    • (2005) Neuroinformatics , vol.3 , pp. 343-359
    • Brown, K.M.1    Donohue, D.E.2    D'alessandro, G.3    Ascoli, G.A.4
  • 13
    • 33645278642 scopus 로고    scopus 로고
    • Mobilizing the base of neuroscience data: The case of neuronal morphologies
    • Ascoli GA. Mobilizing the base of neuroscience data: The case of neuronal morphologies. Nat Rev Neurosci 2006;7:318-324.
    • (2006) Nat Rev Neurosci , vol.7 , pp. 318-324
    • Ascoli, G.A.1
  • 14
    • 0003069403 scopus 로고
    • A semi-automatic computer-microscope for the analysis of neuronal morphology
    • Glaser EM, Van Der Loos H. A semi-automatic computer-microscope for the analysis of neuronal morphology. IEEE Trans Biomed Eng 1965;12:22-31.
    • (1965) IEEE Trans Biomed Eng , vol.12 , pp. 22-31
    • Glaser, E.M.1    Van Der Loos, H.2
  • 15
    • 0019788102 scopus 로고
    • Accurate computer reconstruction and graphics display of complex neurons utilizing state-of-the-art interactive techniques
    • Capowski JJ, Sedivec MJ. Accurate computer reconstruction and graphics display of complex neurons utilizing state-of-the-art interactive techniques. Comput Biomed Res 1981;14:518-532.
    • (1981) Comput Biomed Res , vol.14 , pp. 518-532
    • Capowski, J.J.1    Sedivec, M.J.2
  • 16
    • 0022474991 scopus 로고
    • A microcomputer-based image analyzer for quantitating neurite outgrowth
    • Ford-Holevinski TS, Dahlberg TA, Agranoff BW. A microcomputer-based image analyzer for quantitating neurite outgrowth. Brain Res 1986;368:339-346.
    • (1986) Brain Res , vol.368 , pp. 339-346
    • Ford-Holevinski, T.S.1    Dahlberg, T.A.2    Agranoff, B.W.3
  • 17
    • 0020578789 scopus 로고
    • An automatic neuron reconstruction system
    • Capowski JJ. An automatic neuron reconstruction system. J Neurosci Methods 1983;8:353-364.
    • (1983) J Neurosci Methods , vol.8 , pp. 353-364
    • Capowski, J.J.1
  • 23
    • 0035167454 scopus 로고    scopus 로고
    • A workingperson's guide to deconvolution in light microscopy
    • Wallace W, Schaefer LH, Swedlow JR. A workingperson's guide to deconvolution in light microscopy. Biotechniques 2001;31:1076-1078.
    • (2001) Biotechniques , vol.31 , pp. 1076-1078
    • Wallace, W.1    Schaefer, L.H.2    Swedlow, J.R.3
  • 24
    • 85032750912 scopus 로고    scopus 로고
    • Deconvolution methods for 3-D fluorescence microscopy images
    • Sarder P, Nehorai A. Deconvolution methods for 3-D fluorescence microscopy images. IEEE Signal Process Mag 2006;23:32-45.
    • (2006) IEEE Signal Process Mag , vol.23 , pp. 32-45
    • Sarder, P.1    Nehorai, A.2
  • 27
    • 48249144787 scopus 로고    scopus 로고
    • 3D Axon structure extraction and analysis in confocal fluorescence microscopy images
    • Zhang Y, Zhou X, Lu J, Lichtman J, Adjeroh D, Wong STC. 3D Axon structure extraction and analysis in confocal fluorescence microscopy images. Neural Computation 2008;20:1899-1927.
    • (2008) Neural Computation , vol.20 , pp. 1899-1927
    • Zhang, Y.1    Zhou, X.2    Lu, J.3    Lichtman, J.4    Adjeroh, D.5    Wong, S.T.C.6
  • 28
    • 0034212751 scopus 로고    scopus 로고
    • Computer-assisted visualizations of neural networks: Expanding the field of view using seamless confocal montaging
    • Beck JC, Murray JA, Willows AO, Cooper MS. Computer-assisted visualizations of neural networks: Expanding the field of view using seamless confocal montaging. J Neurosci Methods 2000;98:155-163.
    • (2000) J Neurosci Methods , vol.98 , pp. 155-163
    • Beck, J.C.1    Murray, J.A.2    Willows, A.O.3    Cooper, M.S.4
  • 29
    • 0042229093 scopus 로고    scopus 로고
    • Algorithms for accurate 3D registration of neuronal images acquired by confocal scanning laser microscopy
    • Al-Kofahi O, Can A, Lasek S, Szarowski DH, Turner JN, Roysam B. Algorithms for accurate 3D registration of neuronal images acquired by confocal scanning laser microscopy. J Microscopy 2003;211:8-18.
    • (2003) J Microscopy , vol.211 , pp. 8-18
    • Al-Kofahi, O.1    Can, A.2    Lasek, S.3    Szarowski, D.H.4    Turner, J.N.5    Roysam, B.6
  • 32
    • 65549100286 scopus 로고    scopus 로고
    • Quantitative neurite outgrowth measurement based on image segmentation with topological dependence
    • Yu W, Lee HK, Hariharan S, Bu W, Ahmed S. Quantitative neurite outgrowth measurement based on image segmentation with topological dependence. Cytometry Part A 2009;75A:289-297.
    • (2009) Cytometry Part A , vol.75 A , pp. 289-297
    • Yu, W.1    Lee, H.K.2    Hariharan, S.3    Bu, W.4    Ahmed, S.5
  • 34
    • 2942590533 scopus 로고    scopus 로고
    • Quantitation of neurite growth parameters in explant cultures using a new image processing program
    • Shah A, Fischer C, Knapp CF, Sisken BF. Quantitation of neurite growth parameters in explant cultures using a new image processing program. J Neurosci Methods 2004;136:123-131.
    • (2004) J Neurosci Methods , vol.136 , pp. 123-131
    • Shah, A.1    Fischer, C.2    Knapp, C.F.3    Sisken, B.F.4
  • 35
    • 0027767672 scopus 로고
    • Quantitative morphology and shape classification of neurons by computerized image analysis
    • DOI 10.1016/0169-2607(93)90068-V
    • Masseroli M, Bollea A, Forloni G. Quantitative morphology and shape classification of neurons by computerized image analysis. Comput Methods Programs Biomed 1993;41:89-99. (Pubitemid 24041687)
    • (1993) Computer Methods and Programs in Biomedicine , vol.41 , Issue.2 , pp. 89-99
    • Masseroli, M.1    Bollea, A.2    Forloni, G.3
  • 40
    • 37849043878 scopus 로고    scopus 로고
    • Improved detection of branching points in algorithms for automated neuron tracing from 3D confocal images
    • Al-Kofahi Y, Dowell-Mesfin N, Pace C, Shain W, Turner JN, Roysam B. Improved detection of branching points in algorithms for automated neuron tracing from 3D confocal images. Cytometry Part A 2008;73A:36-43.
    • (2008) Cytometry Part A , vol.73 A , pp. 36-43
    • Al-Kofahi, Y.1    Dowell-Mesfin, N.2    Pace, C.3    Shain, W.4    Turner, J.N.5    Roysam, B.6
  • 42
    • 0028102185 scopus 로고
    • Image analysis of neuritic regeneration by adult rat dorsal root ganglion neurons in culture: Quantification of the neurotoxicity of anticancer agents and of its prevention by nerve growth factor or basic fibroblast growth factor but not brain-derived neurotrophic factor or neurotrophin3
    • Malgrange B, Delrée P, Rigo JM, Baron H, Moonen G. Image analysis of neuritic regeneration by adult rat dorsal root ganglion neurons in culture: Quantification of the neurotoxicity of anticancer agents and of its prevention by nerve growth factor or basic fibroblast growth factor but not brain-derived neurotrophic factor or neurotrophin3. J Neurosci Methods 1994;53:111-122.
    • (1994) J Neurosci Methods , vol.53 , pp. 111-122
    • Malgrange, B.1    Delrée, P.2    Rigo, J.M.3    Baron, H.4    Moonen, G.5
  • 43
    • 0032730351 scopus 로고    scopus 로고
    • A rapid method for semi-quantitative analysis of neurite outgrowth from chick DRG explants using image analysis
    • Bilsland J, Rigby M, Young L, Harper S. A rapid method for semi-quantitative analysis of neurite outgrowth from chick DRG explants using image analysis. J Neurosci Methods 1999;92:75-85.
    • (1999) J Neurosci Methods , vol.92 , pp. 75-85
    • Bilsland, J.1    Rigby, M.2    Young, L.3    Harper, S.4
  • 45
    • 2942593692 scopus 로고    scopus 로고
    • Automated algorithms for multiscale morphometry of neuronal dendrites
    • Weaver CM, Hof PR, Wearne SL, Lindquist WB. Automated algorithms for multiscale morphometry of neuronal dendrites. Neural Computation 2004;16:1353-1383.
    • (2004) Neural Computation , vol.16 , pp. 1353-1383
    • Weaver, C.M.1    Hof, P.R.2    Wearne, S.L.3    Lindquist, W.B.4
  • 46
    • 28844498390 scopus 로고    scopus 로고
    • New techniques for imaging, digitization and analysis of three-dimensional neural morphology on multiple scales
    • Wearne SL, Rodriguez A, Ehlenberger DB, Rocher AB, Henderson SC, Hof PR. New techniques for imaging, digitization and analysis of three-dimensional neural morphology on multiple scales. Neuroscience 2005;136:661-680.
    • (2005) Neuroscience , vol.136 , pp. 661-680
    • Wearne, S.L.1    Rodriguez, A.2    Ehlenberger, D.B.3    Rocher, A.B.4    Henderson, S.C.5    Hof, P.R.6
  • 47
    • 33847238451 scopus 로고    scopus 로고
    • NeuronMetrics: Software for semi-automated processing of cultured neuron images
    • Narro ML, Yang F, Kraft R, Wenk C, Efrat A, Restifo LL. NeuronMetrics: Software for semi-automated processing of cultured neuron images. Brain Res 2007;1138:57-75.
    • (2007) Brain Res , vol.1138 , pp. 57-75
    • Narro, M.L.1    Yang, F.2    Kraft, R.3    Wenk, C.4    Efrat, A.5    Restifo, L.L.6
  • 48
    • 38049081130 scopus 로고    scopus 로고
    • NeuriteTracer: A novel ImageJ plugin for automated quantification of neurite outgrowth
    • Pool M, Thiemann J, Bar-Or A, Fournier AE. NeuriteTracer: A novel ImageJ plugin for automated quantification of neurite outgrowth. J Neurosci Methods 2008;168:134-139.
    • (2008) J Neurosci Methods , vol.168 , pp. 134-139
    • Pool, M.1    Thiemann, J.2    Bar-Or, A.3    Fournier, A.E.4
  • 49
    • 57049087457 scopus 로고    scopus 로고
    • Robust 3D reconstruction and identification of dendritic spines from optical microscopy imaging
    • Janoos F, Mosaliganti K, Xu X, Machiraju R, Huang K, Wong STC. Robust 3D reconstruction and identification of dendritic spines from optical microscopy imaging. Med Image Anal 2009;13:167-179.
    • (2009) Med Image Anal , vol.13 , pp. 167-179
    • Janoos, F.1    Mosaliganti, K.2    Xu, X.3    MacHiraju, R.4    Huang, K.5    Wong, S.T.C.6
  • 50
    • 0345580684 scopus 로고    scopus 로고
    • Computer-vision-based extraction of neural dendograms
    • Cesar RM Jr, Da Fontoura Costa L. Computer-vision-based extraction of neural dendograms. J Neurosci Methods 1999;93:121-131.
    • (1999) J Neurosci Methods , vol.93 , pp. 121-131
    • Cesar Jr., R.M.1    Da Fontoura Costa, L.2
  • 51
    • 0036650287 scopus 로고    scopus 로고
    • Automatic segmentation and skeletonization of neurons from confocal microscopy images based on the 3-D wavelet transform
    • Dima A, Scholz M, Obermayer K. Automatic segmentation and skeletonization of neurons from confocal microscopy images based on the 3-D wavelet transform. IEEE Trans Image Process 2002;11:790-801.
    • (2002) IEEE Trans Image Process , vol.11 , pp. 790-801
    • Dima, A.1    Scholz, M.2    Obermayer, K.3
  • 52
    • 0037111070 scopus 로고    scopus 로고
    • A semi-automated image analysis method to quantify neurite preference/axon guidance on a patterned substratum
    • Hynds DL, Snow DM. A semi-automated image analysis method to quantify neurite preference/axon guidance on a patterned substratum. J Neurosci Methods 2002; 121:53-64.
    • (2002) J Neurosci Methods , vol.121 , pp. 53-64
    • Hynds, D.L.1    Snow, D.M.2
  • 53
    • 0028289552 scopus 로고
    • Automated tracing and volume measurements of neurons from 3D confocal fluorescence microscopy data
    • Cohen AR, Roysam B, Turner JN. Automated tracing and volume measurements of neurons from 3D confocal fluorescence microscopy data. J Microscopy 1994;173: 103-114.
    • (1994) J Microscopy , vol.173 , pp. 103-114
    • Cohen, A.R.1    Roysam, B.2    Turner, J.N.3
  • 54
    • 0029120633 scopus 로고
    • Quantification of dendritic spine populations using image analysis and a tilting disector
    • Rusakov DA, Stewart MG. Quantification of dendritic spine populations using image analysis and a tilting disector. J Neurosci Methods 1995;60:11-21.
    • (1995) J Neurosci Methods , vol.60 , pp. 11-21
    • Rusakov, D.A.1    Stewart, M.G.2
  • 56
    • 59249101942 scopus 로고    scopus 로고
    • Detection of the optimal neuron traces in confocal microscopy images
    • Vasilkoski Z, Stepanyants A. Detection of the optimal neuron traces in confocal microscopy images. J Neurosci Methods 2009;178:197-204.
    • (2009) J Neurosci Methods , vol.178 , pp. 197-204
    • Vasilkoski, Z.1    Stepanyants, A.2
  • 58
    • 1942470024 scopus 로고    scopus 로고
    • Design and Validation of a Tool for Neurite Tracing and Analysis in Fluorescence Microscopy Images
    • Meijering E, Jacob M, Sarria JCF, Steiner P, Hirling H, Unser M. Design and validation of a tool for neurite tracing and analysis in fluorescence microscopy images. Cytometry Part A 2004;58A:167-176. (Pubitemid 38509178)
    • (2004) Cytometry Part A , vol.58 , Issue.2 , pp. 167-176
    • Meijering, E.1    Jacob, M.2    Sarria, J.-C.F.3    Steiner, P.4    Hirling, H.5    Unser, M.6
  • 59
    • 33746563339 scopus 로고    scopus 로고
    • Automated neurite labeling and analysis in fluorescence microscopy images
    • Xiong G, Zhou X, Degterev A, Ji L, Wong STC. Automated neurite labeling and analysis in fluorescence microscopy images. Cytometry Part A 2006;69A:494-505.
    • (2006) Cytometry Part A , vol.69 A , pp. 494-505
    • Xiong, G.1    Zhou, X.2    Degterev, A.3    Ji, L.4    Wong, S.T.C.5
  • 60
    • 34248183921 scopus 로고    scopus 로고
    • Dendritic spine detection using curvilinear structure detector and LDA classifier
    • DOI 10.1016/j.neuroimage.2007.02.044, PII S105381190700170X
    • Zhang Y, Zhou X, Witt RM, Sabatini BL, Adjeroh D, Wong STC. Dendritic spine detection using curvilinear structure detector and LDA classifier. NeuroImage 2007;36:346-360. (Pubitemid 46722687)
    • (2007) NeuroImage , vol.36 , Issue.2 , pp. 346-360
    • Zhang, Y.1    Zhou, X.2    Witt, R.M.3    Sabatini, B.L.4    Adjeroh, D.5    Wong, S.T.C.6
  • 61
    • 67651236909 scopus 로고    scopus 로고
    • An automated pipeline for dendrite spine detection and tracking of 3D optical microscopy neuron images of in vivo mouse models
    • Fan J, Zhou X, Dy JG, Zhang Y, Wong STC. An automated pipeline for dendrite spine detection and tracking of 3D optical microscopy neuron images of in vivo mouse models. Neuroinformatics 2009;7:113-130.
    • (2009) Neuroinformatics , vol.7 , pp. 113-130
    • Fan, J.1    Zhou, X.2    Dy, J.G.3    Zhang, Y.4    Wong, S.T.C.5
  • 62
    • 75149149751 scopus 로고    scopus 로고
    • MDL constrained 3-D grayscale skeletonization algorithm for automated extraction of dendrites and spines from fluorescence confocal images
    • Yuan X, Trachtenberg JT, Potter SM, Roysam B. MDL constrained 3-D grayscale skeletonization algorithm for automated extraction of dendrites and spines from fluorescence confocal images. Neuroinformatics 2009;7:213-232.
    • (2009) Neuroinformatics , vol.7 , pp. 213-232
    • Yuan, X.1    Trachtenberg, J.T.2    Potter, S.M.3    Roysam, B.4
  • 63
    • 65449171617 scopus 로고    scopus 로고
    • Fast linear feature detection using multiple directional non-maximum suppression
    • Sun C, Vallotton P. Fast linear feature detection using multiple directional non-maximum suppression. J Microscopy 2009;234:147-157.
    • (2009) J Microscopy , vol.234 , pp. 147-157
    • Sun, C.1    Vallotton, P.2
  • 64
    • 34248652917 scopus 로고    scopus 로고
    • Rayburst sampling, an algorithm for automated three-dimensional shape analysis from laser scanning microscopy images
    • Rodriguez A, Ehlenberger DB, Hof PR, Wearne SL. Rayburst sampling, an algorithm for automated three-dimensional shape analysis from laser scanning microscopy images. Nat Protocols 2006;1:2152-2161.
    • (2006) Nat Protocols , vol.1 , pp. 2152-2161
    • Rodriguez, A.1    Ehlenberger, D.B.2    Hof, P.R.3    Wearne, S.L.4
  • 66
    • 17144363197 scopus 로고    scopus 로고
    • Reconstruct: A free editor for serial section microscopy
    • Fiala JC. Reconstruct: A free editor for serial section microscopy. J Microscopy 2005;218:52-61.
    • (2005) J Microscopy , vol.218 , pp. 52-61
    • Fiala, J.C.1
  • 67
    • 66249148685 scopus 로고    scopus 로고
    • Semi-automated reconstruction of neural processes from large numbers of fluorescence images
    • Lu J, Fiala JC, Lichtman JW. Semi-automated reconstruction of neural processes from large numbers of fluorescence images. PLoS One 2009;4:e5655.
    • (2009) PLoS One , vol.4
    • Lu, J.1    Fiala, J.C.2    Lichtman, J.W.3
  • 68
    • 36248980924 scopus 로고    scopus 로고
    • Automated axon tracking of 3D confocal laser scanning microscopy images using guided probabilistic region merging
    • Srinivasan R, Zhou X, Miller E, Lu J, Lichtman J, Wong STC. Automated axon tracking of 3D confocal laser scanning microscopy images using guided probabilistic region merging. Neuroinformatics 2007;5:189-203.
    • (2007) Neuroinformatics , vol.5 , pp. 189-203
    • Srinivasan, R.1    Zhou, X.2    Miller, E.3    Lu, J.4    Lichtman, J.5    Wong, S.T.C.6
  • 69
    • 54249159267 scopus 로고    scopus 로고
    • Using nonlinear diffusion and mean shift to detect and connect cross-sections of axons in 3D optical microscopy images
    • Cai H, Xu X, Lu J, Lichtman J, Yung SP, Wong STC. Using nonlinear diffusion and mean shift to detect and connect cross-sections of axons in 3D optical microscopy images. Med Image Anal 2008;12:666-675.
    • (2008) Med Image Anal , vol.12 , pp. 666-675
    • Cai, H.1    Xu, X.2    Lu, J.3    Lichtman, J.4    Yung, S.P.5    Wong, S.T.C.6
  • 70
    • 33748327078 scopus 로고    scopus 로고
    • Repulsive force based snake model to segment and track neuronal axons in 3D microscopy image stacks
    • Cai H, Xu X, Lu J, Lichtman JW, Yung SP, Wong STC. Repulsive force based snake model to segment and track neuronal axons in 3D microscopy image stacks. NeuroImage 2006;32:1608-1620.
    • (2006) NeuroImage , vol.32 , pp. 1608-1620
    • Cai, H.1    Xu, X.2    Lu, J.3    Lichtman, J.W.4    Yung, S.P.5    Wong, S.T.C.6
  • 71
    • 36849078178 scopus 로고    scopus 로고
    • Contour-propagation algorithms for semi-automated reconstruction of neural processes
    • Macke JH, Maack N, Gupta R, Denk W, Schölkopf B, Borst A. Contour-propagation algorithms for semi-automated reconstruction of neural processes. J Neurosci Methods 2008;167:349-357.
    • (2008) J Neurosci Methods , vol.167 , pp. 349-357
    • MacKe, J.H.1    Maack, N.2    Gupta, R.3    Denk, W.4    Schölkopf, B.5    Borst, A.6
  • 74
    • 34147198443 scopus 로고    scopus 로고
    • Automated neurite extraction using dynamic programming for high-throughput screening of neuron-based assays
    • Zhang Y, Zhou X, Degterev A, Lipinski M, Adjeroh D, Yuan J, Wong STC. Automated neurite extraction using dynamic programming for high-throughput screening of neuron-based assays. Neuroimage 2007;35:1502-1515.
    • (2007) Neuroimage , vol.35 , pp. 1502-1515
    • Zhang, Y.1    Zhou, X.2    Degterev, A.3    Lipinski, M.4    Adjeroh, D.5    Yuan, J.6    Wong, S.T.C.7
  • 75
    • 77954304761 scopus 로고    scopus 로고
    • Improved automatic midline tracing of neurites with Neuromantic
    • Myatt DR, Nasuto SJ. Improved automatic midline tracing of neurites with Neuromantic. BMC Neurosci 2008;9:81.
    • (2008) BMC Neurosci , vol.9 , pp. 81
    • Myatt, D.R.1    Nasuto, S.J.2
  • 77
    • 7744235523 scopus 로고    scopus 로고
    • New methods for the computerassisted 3-D reconstruction of neurons from confocal image stacks
    • Schmitt S, Evers JF, Duch C, Scholz M, Obermayer K. New methods for the computerassisted 3-D reconstruction of neurons from confocal image stacks. Neuroimage 2004;23:1283-1298.
    • (2004) Neuroimage , vol.23 , pp. 1283-1298
    • Schmitt, S.1    Evers, J.F.2    Duch, C.3    Scholz, M.4    Obermayer, K.5
  • 78
    • 15544387146 scopus 로고    scopus 로고
    • Progress in functional neuroanatomy: Precise automatic geometric reconstruction of neuronal morphology from confocal image stacks
    • Evers JF, Schmitt S, Sibila M, Duch C. Progress in functional neuroanatomy: Precise automatic geometric reconstruction of neuronal morphology from confocal image stacks. J Neurophysiol 2005;93:2331-2342.
    • (2005) J Neurophysiol , vol.93 , pp. 2331-2342
    • Evers, J.F.1    Schmitt, S.2    Sibila, M.3    Duch, C.4
  • 79
    • 0035654078 scopus 로고    scopus 로고
    • Dendritic spines: Structure, dynamics and regulation
    • Hering H, Sheng M. Dendritic spines: Structure, dynamics and regulation. Nat Rev Neurosci 2001;2:880-888.
    • (2001) Nat Rev Neurosci , vol.2 , pp. 880-888
    • Hering, H.1    Sheng, M.2
  • 81
    • 35348995590 scopus 로고    scopus 로고
    • Automatic dendritic spine analysis in twophoton laser scanning microscopy images
    • Bai W, Zhou X, Ji L, Cheng J, Wong STC. Automatic dendritic spine analysis in twophoton laser scanning microscopy images. Cytometry Part A 2007;71:818-826.
    • (2007) Cytometry Part A , vol.71 , pp. 818-826
    • Bai, W.1    Zhou, X.2    Ji, L.3    Cheng, J.4    Wong, S.T.C.5
  • 82
    • 34447506014 scopus 로고    scopus 로고
    • A novel computational approach for automatic dendrite spines detection in two-photon laser scan microscopy
    • Cheng J, Zhou X, Miller E, Witt RM, Zhu J, Sabatini BL, Wong STC. A novel computational approach for automatic dendrite spines detection in two-photon laser scan microscopy. J Neurosci Methods 2007;165:122-134.
    • (2007) J Neurosci Methods , vol.165 , pp. 122-134
    • Cheng, J.1    Zhou, X.2    Miller, E.3    Witt, R.M.4    Zhu, J.5    Sabatini, B.L.6    Wong, S.T.C.7
  • 83
    • 34248592765 scopus 로고    scopus 로고
    • A wavelet approach for the identification of axonal synaptic varicosities from microscope images
    • Wang YP, Ragib H, Huang CM. A wavelet approach for the identification of axonal synaptic varicosities from microscope images. IEEE Trans Inf Technol Biomed 2007;11:296-304.
    • (2007) IEEE Trans Inf Technol Biomed , vol.11 , pp. 296-304
    • Wang, Y.P.1    Ragib, H.2    Huang, C.M.3
  • 84
    • 44349154735 scopus 로고    scopus 로고
    • Automated threedimensional detection and shape classification of dendritic spines from fluorescence microscopy images
    • Rodriguez A, Ehlenberger DB, Dickstein DL, Hof PR, Wearne SL. Automated threedimensional detection and shape classification of dendritic spines from fluorescence microscopy images. PLoS One 2008;3:e1997.
    • (2008) PLoS One , vol.3
    • Rodriguez, A.1    Ehlenberger, D.B.2    Dickstein, D.L.3    Hof, P.R.4    Wearne, S.L.5
  • 87
    • 0041470138 scopus 로고    scopus 로고
    • Neuroanatomical algorithms for dendritic modelling
    • Ascoli GA. Neuroanatomical algorithms for dendritic modelling. Network: Comput Neural Syst 2002;13:247-260.
    • (2002) Network: Comput Neural Syst , vol.13 , pp. 247-260
    • Ascoli, G.A.1
  • 88
    • 2342528455 scopus 로고    scopus 로고
    • Quantitative morphometry of hippocampal pyramidal cells: Differences between anatomical classes and reconstructing laboratories
    • Scorcioni R, Lazarewicz MT, Ascoli GA. Quantitative morphometry of hippocampal pyramidal cells: Differences between anatomical classes and reconstructing laboratories. J Comp Neurol 2004;473:177-193.
    • (2004) J Comp Neurol , vol.473 , pp. 177-193
    • Scorcioni, R.1    Lazarewicz, M.T.2    Ascoli, G.A.3
  • 89
    • 0022972285 scopus 로고
    • The metric analysis of three-dimensional dendritic tree patterns: A methodological review
    • Uylings HB, Ruiz-Marcos A, Van Pelt J. The metric analysis of three-dimensional dendritic tree patterns: A methodological review. J Neurosci Methods 1986;18:127-151.
    • (1986) J Neurosci Methods , vol.18 , pp. 127-151
    • Uylings, H.B.1    Ruiz-Marcos, A.2    Van Pelt, J.3
  • 90
    • 3543144446 scopus 로고
    • Dendritic organization in the neurons of the visual and motor cortices of the cat
    • Sholl DA. Dendritic organization in the neurons of the visual and motor cortices of the cat. J Anatomy 1953;87:387-406.
    • (1953) J Anatomy , vol.87 , pp. 387-406
    • Sholl, D.A.1
  • 91
    • 0001695749 scopus 로고
    • The cerebral cortex of normal and hypothyroid rats
    • Eayrs JT. The cerebral cortex of normal and hypothyroid rats. Acta Anatomica 1955;25:160-183.
    • (1955) Acta Anatomica , vol.25 , pp. 160-183
    • Eayrs, J.T.1
  • 92
    • 34247481852 scopus 로고    scopus 로고
    • A fast and accurate procedure for deriving the Sholl profile in quantitative studies of neuronal morphology
    • Gutierrez H, Davies AM. A fast and accurate procedure for deriving the Sholl profile in quantitative studies of neuronal morphology. J Neurosci Methods 2007;163:24-30.
    • (2007) J Neurosci Methods , vol.163 , pp. 24-30
    • Gutierrez, H.1    Davies, A.M.2
  • 93
    • 0028955286 scopus 로고
    • A quantitative method for morphometric analysis in neuronal cell culture: Unbiased estimation of neuron area and number of branch points
    • Ventimiglia R, Jones BE, Møller A. A quantitative method for morphometric analysis in neuronal cell culture: Unbiased estimation of neuron area and number of branch points. J Neurosci Methods 1995;57:63-66.
    • (1995) J Neurosci Methods , vol.57 , pp. 63-66
    • Ventimiglia, R.1    Jones, B.E.2    Møller, A.3
  • 96
    • 54549100134 scopus 로고    scopus 로고
    • Quantifying neuronal size: Summing up trees and splitting the branch difference
    • Brown KM, Gillette TA, Ascoli GA. Quantifying neuronal size: Summing up trees and splitting the branch difference. Semars Cell Dev Biol 2008;19:485-493.
    • (2008) Semars Cell Dev Biol , vol.19 , pp. 485-493
    • Brown, K.M.1    Gillette, T.A.2    Ascoli, G.A.3
  • 97
    • 70449717240 scopus 로고    scopus 로고
    • The tree-edit-distance, a measure for quantifying neuronal morphology
    • Heumann H, Wittum G. The tree-edit-distance, a measure for quantifying neuronal morphology. Neuroinformatics 2009;7:179-190.
    • (2009) Neuroinformatics , vol.7 , pp. 179-190
    • Heumann, H.1    Wittum, G.2
  • 98
    • 70449719067 scopus 로고    scopus 로고
    • On comparing neuronal morphologies with the constrained tree-edit-distance
    • Gillette TA, Grefenstette JJ. On comparing neuronal morphologies with the constrained tree-edit-distance. Neuroinformatics 2009;7:191-194.
    • (2009) Neuroinformatics , vol.7 , pp. 191-194
    • Gillette, T.A.1    Grefenstette, J.J.2
  • 103
    • 43149098519 scopus 로고    scopus 로고
    • L-Measure: A web-accessible tool for the analysis, comparison and search of digital reconstructions of neuronal morphologies
    • Scorcioni R, Polavaram S, Ascoli GA. L-Measure: A web-accessible tool for the analysis, comparison and search of digital reconstructions of neuronal morphologies. Nat Protocols 2008;3:866-876.
    • (2008) Nat Protocols , vol.3 , pp. 866-876
    • Scorcioni, R.1    Polavaram, S.2    Ascoli, G.A.3
  • 104
    • 0033913163 scopus 로고    scopus 로고
    • L-neuron: A modeling tool for the efficient generation and parsimonious description of dendritic morphology
    • Ascoli GA, Krichmar JL. L-neuron: A modeling tool for the efficient generation and parsimonious description of dendritic morphology. Neurocomputing 2000; 32:1003-1011.
    • (2000) Neurocomputing , vol.32 , pp. 1003-1011
    • Ascoli, G.A.1    Krichmar, J.L.2
  • 106
    • 33750342659 scopus 로고    scopus 로고
    • NeuGen: A tool for the generation of realistic morphology of cortical neurons and neural networks in 3D
    • Eberhard JP, Wanner A, Wittum G. NeuGen: A tool for the generation of realistic morphology of cortical neurons and neural networks in 3D. Neurocomputing 2006;70:327-342.
    • (2006) Neurocomputing , vol.70 , pp. 327-342
    • Eberhard, J.P.1    Wanner, A.2    Wittum, G.3
  • 107
    • 34147114284 scopus 로고    scopus 로고
    • NeuroConstruct: A tool for modeling networks of neurons in 3D space
    • Gleeson P, Steuber V, Silver RA. neuroConstruct: A tool for modeling networks of neurons in 3D space. Neuron 2007;54:219-235.
    • (2007) Neuron , vol.54 , pp. 219-235
    • Gleeson, P.1    Steuber, V.2    Silver, R.A.3
  • 109
    • 85032751603 scopus 로고    scopus 로고
    • Optical microscopic image processing of dendritic spines morphology
    • Xu X, Wong STC. Optical microscopic image processing of dendritic spines morphology. IEEE Signal Process Mag 2006;23:132-135.
    • (2006) IEEE Signal Process Mag , vol.23 , pp. 132-135
    • Xu, X.1    Wong, S.T.C.2
  • 110
    • 77954299126 scopus 로고    scopus 로고
    • V3D: A real-time 3D visualization system for the quantitative analysis of large bioimages and its applications to neuroscience
    • in press
    • Peng H, Ruan Z, Long F, Simpson JH, Myers E. V3D: A real-time 3D visualization system for the quantitative analysis of large bioimages and its applications to neuroscience. Nat Biotechnol (in press).
    • Nat Biotechnol
    • Peng, H.1    Ruan, Z.2    Long, F.3    Simpson, J.H.4    Myers, E.5
  • 112
    • 0025483799 scopus 로고
    • Neuron imaging with Neurolucida-A PC-based system for image combining microscopy
    • Glaser JR, Glaser EM. Neuron imaging with Neurolucida-A PC-based system for image combining microscopy. Computerized Med Imaging Graphics 1990;14:307-317.
    • (1990) Computerized Med Imaging Graphics , vol.14 , pp. 307-317
    • Glaser, J.R.1    Glaser, E.M.2
  • 114
    • 36048945922 scopus 로고    scopus 로고
    • ImageJ for microscopy
    • Collins TJ. ImageJ for microscopy. Biotechniques 2007;43:25-30.
    • (2007) Biotechniques , vol.43 , pp. 25-30
    • Collins, T.J.1
  • 115
    • 46249097724 scopus 로고    scopus 로고
    • A comparative computer simulation of dendritic morphology
    • Donohue DE, Ascoli GA. A comparative computer simulation of dendritic morphology. PLoS Comput Biol 2008;4:1-15.
    • (2008) PLoS Comput Biol , vol.4 , pp. 1-15
    • Donohue, D.E.1    Ascoli, G.A.2
  • 116
  • 119
    • 0035080096 scopus 로고    scopus 로고
    • Neuron: A tool for neuroscientists
    • Hines ML, Carnevale NT. Neuron: A tool for neuroscientists. Neuroscientist 2001;7:123-135.
    • (2001) Neuroscientist , vol.7 , pp. 123-135
    • Hines, M.L.1    Carnevale, N.T.2
  • 125
    • 34147178884 scopus 로고    scopus 로고
    • MorphML: Level 1 of the NeuroML standards for neuronal morphology data and model specification
    • Crook S, Gleeson P, Howell F, Svitak J, Silver RA. MorphML: Level 1 of the NeuroML standards for neuronal morphology data and model specification. Neuroinformatics 2007;5:96-104.
    • (2007) Neuroinformatics , vol.5 , pp. 96-104
    • Crook, S.1    Gleeson, P.2    Howell, F.3    Svitak, J.4    Silver, R.A.5
  • 126
    • 0036546074 scopus 로고    scopus 로고
    • Sharing primary data: A threat or asset to discovery?
    • Koslow SH. Sharing primary data: A threat or asset to discovery? Nat Rev Neurosci 2002;3:311-313.
    • (2002) Nat Rev Neurosci , vol.3 , pp. 311-313
    • Koslow, S.H.1
  • 129
    • 36248931516 scopus 로고    scopus 로고
    • Successes and rewards in sharing digital reconstructions of neuronal morphology
    • Ascoli GA. Successes and rewards in sharing digital reconstructions of neuronal morphology. Neuroinformatics 2007;5:154-160.
    • (2007) Neuroinformatics , vol.5 , pp. 154-160
    • Ascoli, G.A.1
  • 130
    • 34548458204 scopus 로고    scopus 로고
    • NeuroMorpho.org: A central resource for neuronal morphologies
    • Ascoli GA, Donohue DE, Halavi M. NeuroMorpho.org: A central resource for neuronal morphologies. J Neurosci 2007;27:9247-9251.
    • (2007) J Neurosci , vol.27 , pp. 9247-9251
    • Ascoli, G.A.1    Donohue, D.E.2    Halavi, M.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.