메뉴 건너뛰기




Volumn 15, Issue 8, 2018, Pages 605-610

High-precision automated reconstruction of neurons with flood-filling networks

Author keywords

[No Author keywords available]

Indexed keywords

ACCURACY; ANIMAL TISSUE; ARTICLE; AXON; BRAIN; CELL BODY; CLASSIFICATION; CLASSIFIER; DENDRITE; DENDRITIC SPINE; DROSOPHILA; ELECTRON MICROSCOPY; FLOOD FILLING NETWORK; HUMAN; HYSTERESIS; MACHINE LEARNING; NERVE CELL; NEURITE; NEUROPIL; NONHUMAN; OPTIC LOBE; PRIORITY JOURNAL; TAENIOPYGIA GUTTATA; ALGORITHM; ANATOMY AND HISTOLOGY; ANIMAL; FINCH; IMAGE PROCESSING; MALE; MOUSE; NERVE CELL NETWORK; PROCEDURES; THREE DIMENSIONAL IMAGING; TRANSMISSION ELECTRON MICROSCOPY; ULTRASTRUCTURE;

EID: 85049970432     PISSN: 15487091     EISSN: 15487105     Source Type: Journal    
DOI: 10.1038/s41592-018-0049-4     Document Type: Article
Times cited : (278)

References (49)
  • 1
    • 0018401970 scopus 로고
    • Three-dimensional computer reconstruction of neurons and neuronal assemblies
    • PID: 383004
    • Macagno, E. R., Levinthal, C. & Sobel, I. Three-dimensional computer reconstruction of neurons and neuronal assemblies. Annu. Rev. Biophys. Bioeng. 8, 323–351 (1979)
    • (1979) Annu. Rev. Biophys. Bioeng. , vol.8 , pp. 323-351
    • Macagno, E.R.1    Levinthal, C.2    Sobel, I.3
  • 2
    • 0026734317 scopus 로고
    • Three-dimensional structure of dendritic spines and synapses in rat hippocampus (CA1) at postnatal day 15 and adult ages: implications for the maturation of synaptic physiology and long-term potentiation
    • PID: 1613552
    • Harris, K. M., Jensen, F. E. & Tsao, B. Three-dimensional structure of dendritic spines and synapses in rat hippocampus (CA1) at postnatal day 15 and adult ages: implications for the maturation of synaptic physiology and long-term potentiation. J. Neurosci. 12, 2685–2705 (1992)
    • (1992) J. Neurosci. , vol.12 , pp. 2685-2705
    • Harris, K.M.1    Jensen, F.E.2    Tsao, B.3
  • 3
    • 0033566709 scopus 로고    scopus 로고
    • Three-dimensional relationships between hippocampal synapses and astrocytes
    • PID: 10436047
    • Ventura, R. & Harris, K. M. Three-dimensional relationships between hippocampal synapses and astrocytes. J. Neurosci. 19, 6897–6906 (1999)
    • (1999) J. Neurosci. , vol.19 , pp. 6897-6906
    • Ventura, R.1    Harris, K.M.2
  • 4
    • 17144363197 scopus 로고    scopus 로고
    • Reconstruct: a free editor for serial section microscopy
    • Fiala, J. C. Reconstruct: a free editor for serial section microscopy. J. Microsc. 218, 52–61 (2005)
    • (2005) J. Microsc. , vol.218 , pp. 52-61
    • Fiala, J.C.1
  • 5
    • 84857691469 scopus 로고    scopus 로고
    • Volume electron microscopy for neuronal circuit reconstruction
    • PID: 22119321
    • Briggman, K. L. & Bock, D. D. Volume electron microscopy for neuronal circuit reconstruction. Curr. Opin. Neurobiol. 22, 154–161 (2012)
    • (2012) Curr. Opin. Neurobiol. , vol.22 , pp. 154-161
    • Briggman, K.L.1    Bock, D.D.2
  • 6
    • 77957021569 scopus 로고    scopus 로고
    • Machines that learn to segment images: a crucial technology for connectomics
    • PID: 20801638
    • Jain, V., Seung, H. S. & Turaga, S. C. Machines that learn to segment images: a crucial technology for connectomics. Curr. Opin. Neurobiol. 20, 653–666 (2010)
    • (2010) Curr. Opin. Neurobiol. , vol.20 , pp. 653-666
    • Jain, V.1    Seung, H.S.2    Turaga, S.C.3
  • 7
    • 84900523778 scopus 로고    scopus 로고
    • Space-time wiring specificity supports direction selectivity in the retina
    • PID: 24805243
    • Kim, J. S. et al. Space-time wiring specificity supports direction selectivity in the retina. Nature 509, 331–336 (2014)
    • (2014) Nature , vol.509 , pp. 331-336
    • Kim, J.S.1
  • 8
    • 84946600443 scopus 로고    scopus 로고
    • Synaptic circuits and their variations within different columns in the visual system of Drosophila
    • PID: 26483464
    • Takemura, S.-Y. et al. Synaptic circuits and their variations within different columns in the visual system of Drosophila. Proc. Natl. Acad. Sci. USA 112, 13711–13716 (2015)
    • (2015) Proc. Natl. Acad. Sci. USA , vol.112 , pp. 13711-13716
    • Takemura, S.Y.1
  • 9
    • 79960844955 scopus 로고    scopus 로고
    • High-accuracy neurite reconstruction for high-throughput neuroanatomy
    • PID: 21743472
    • Helmstaedter, M., Briggman, K. L. & Denk, W. High-accuracy neurite reconstruction for high-throughput neuroanatomy. Nat. Neurosci. 14, 1081–1088 (2011)
    • (2011) Nat. Neurosci. , vol.14 , pp. 1081-1088
    • Helmstaedter, M.1    Briggman, K.L.2    Denk, W.3
  • 10
    • 84881453258 scopus 로고    scopus 로고
    • Connectomic reconstruction of the inner plexiform layer in the mouse retina
    • PID: 23925239
    • Helmstaedter, M. et al. Connectomic reconstruction of the inner plexiform layer in the mouse retina. Nature 500, 168–174 (2013)
    • (2013) Nature , vol.500 , pp. 168-174
    • Helmstaedter, M.1
  • 11
    • 67650713687 scopus 로고    scopus 로고
    • TrakEM2: An ImageJ-based program for morphological data mining and 3D modeling
    • Centre de Recherche Public Henri Tudor: Luxembourg
    • Cardona, A. TrakEM2: an ImageJ-based program for morphological data mining and 3D modeling. in Proc. ImageJ User and Developer Conference 18–19 (Centre de Recherche Public Henri Tudor: Luxembourg, 2006)
    • (2006) Proc. Imagej User and Developer Conference , pp. 18-19
    • Cardona, A.1
  • 12
    • 84942133423 scopus 로고    scopus 로고
    • SegEM: efficient image analysis for high-resolution connectomics
    • PID: 26402603
    • Berning, M., Boergens, K. M. & Helmstaedter, M. SegEM: efficient image analysis for high-resolution connectomics. Neuron 87, 1193–1206 (2015)
    • (2015) Neuron , vol.87 , pp. 1193-1206
    • Berning, M.1    Boergens, K.M.2    Helmstaedter, M.3
  • 13
    • 84992530000 scopus 로고    scopus 로고
    • Focused proofreading to reconstruct neural connectomes from EM images at scale
    • eds. Carneiro, G. et al., Springer, Cham
    • Plaza, S. M. Focused proofreading to reconstruct neural connectomes from EM images at scale. in Deep Learning and Data Labeling for Medical Applications (eds. Carneiro, G. et al.) 249–258 (Springer, Cham, 2016)
    • (2016) Deep Learning and Data Labeling for Medical Applications , pp. 249-258
    • Plaza, S.M.1
  • 14
    • 50649114600 scopus 로고    scopus 로고
    • Supervised learning of image restoration with convolutional networks
    • IEEE, New York
    • Jain, V. et al. Supervised learning of image restoration with convolutional networks. in Proc. IEEE 11th International Conference on Computer Vision 636–643 (IEEE, New York, 2007)
    • (2007) Proc. IEEE 11Th International Conference on Computer Vision , pp. 636-643
    • Jain, V.1
  • 15
    • 84881641626 scopus 로고    scopus 로고
    • Deep neural networks segment neuronal membranes in electron microscopy images
    • eds. Pereira, F. et al, Neural Information Processing Systems Foundation, La Jolla, CA
    • Ciresan, D., Giusti, A., Gambardella, L. M. & Schmidhuber, J. Deep neural networks segment neuronal membranes in electron microscopy images. in Advances in Neural Information Processing Systems 25 (eds. Pereira, F. et al.) 2852–2860 (Neural Information Processing Systems Foundation, La Jolla, CA, 2012)
    • (2012) Advances in Neural Information Processing Systems , vol.25 , pp. 2852-2860
    • Ciresan, D.1    Giusti, A.2    Gambardella, L.M.3    Schmidhuber, J.4
  • 16
    • 77649302828 scopus 로고    scopus 로고
    • Convolutional networks can learn to generate affinity graphs for image segmentation
    • PID: 19922289
    • Turaga, S. C. et al. Convolutional networks can learn to generate affinity graphs for image segmentation. Neural Comput. 22, 511–538 (2010)
    • (2010) Neural Comput. , vol.22 , pp. 511-538
    • Turaga, S.C.1
  • 20
    • 84924939729 scopus 로고    scopus 로고
    • Large-scale automatic reconstruction of neuronal processes from electron microscopy images
    • PID: 25791436
    • Kaynig, V. et al. Large-scale automatic reconstruction of neuronal processes from electron microscopy images. Med. Image Anal. 22, 77–88 (2015)
    • (2015) Med. Image Anal. , vol.22 , pp. 77-88
    • Kaynig, V.1
  • 22
    • 85011370891 scopus 로고    scopus 로고
    • Multicut brings automated neurite segmentation closer to human performance
    • PID: 28139671
    • Beier, T. et al. Multicut brings automated neurite segmentation closer to human performance. Nat. Methods 14, 101–102 (2017)
    • (2017) Nat. Methods , vol.14 , pp. 101-102
    • Beier, T.1
  • 23
    • 80053541110 scopus 로고    scopus 로고
    • Maximin affinity learning of image segmentation
    • eds. Bengio, Y. et al., Neural Information Processing Systems, La Jolla, CA
    • Turaga, S. C., Briggman, K. L., Helmstaedter, M., Denk, W. & Seung, H. S. Maximin affinity learning of image segmentation. in Advances in Neural Information Processing Systems 22 (eds. Bengio, Y. et al.) 1865–1873 (Neural Information Processing Systems, La Jolla, CA, 2009)
    • (2009) Advances in Neural Information Processing Systems , vol.22 , pp. 1865-1873
    • Turaga, S.C.1    Briggman, K.L.2    Helmstaedter, M.3    Denk, W.4    Seung, H.S.5
  • 25
    • 14044262855 scopus 로고    scopus 로고
    • Serial block-face scanning electron microscopy to reconstruct three-dimensional tissue nanostructure
    • PID: 15514700
    • Denk, W. & Horstmann, H. Serial block-face scanning electron microscopy to reconstruct three-dimensional tissue nanostructure. PLoS Biol. 2, e329 (2004)
    • (2004) PLoS Biol. , vol.2
    • Denk, W.1    Horstmann, H.2
  • 28
    • 84897944856 scopus 로고    scopus 로고
    • Graph-based active learning of agglomeration (GALA): a Python library to segment 2D and 3D neuroimages
    • PID: 24772079
    • Nunez-Iglesias, J., Kennedy, R., Plaza, S. M., Chakraborty, A. & Katz, W. T. Graph-based active learning of agglomeration (GALA): a Python library to segment 2D and 3D neuroimages. Front. Neuroinform. 8, 34 (2014)
    • (2014) Front. Neuroinform. , vol.8 , pp. 34
    • Nunez-Iglesias, J.1    Kennedy, R.2    Plaza, S.M.3    Chakraborty, A.4    Katz, W.T.5
  • 30
    • 84863192622 scopus 로고    scopus 로고
    • Elastic volume reconstruction from series of ultra-thin microscopy sections
    • PID: 22688414
    • Saalfeld, S., Fetter, R., Cardona, A. & Tomancak, P. Elastic volume reconstruction from series of ultra-thin microscopy sections. Nat. Methods 9, 717–720 (2012)
    • (2012) Nat. Methods , vol.9 , pp. 717-720
    • Saalfeld, S.1    Fetter, R.2    Cardona, A.3    Tomancak, P.4
  • 31
    • 85014088241 scopus 로고    scopus 로고
    • Automated synaptic connectivity inference for volume electron microscopy
    • PID: 28250467
    • Dorkenwald, S. et al. Automated synaptic connectivity inference for volume electron microscopy. Nat. Methods 14, 435–442 (2017)
    • (2017) Nat. Methods , vol.14 , pp. 435-442
    • Dorkenwald, S.1
  • 32
    • 84983421094 scopus 로고    scopus 로고
    • Extracellular space preservation aids the connectomic analysis of neural circuits
    • PID: 26650352
    • Pallotto, M., Watkins, P. V., Fubara, B., Singer, J. H. & Briggman, K. L. Extracellular space preservation aids the connectomic analysis of neural circuits. eLife 4, e08206 (2015)
    • (2015) eLife , vol.4
    • Pallotto, M.1    Watkins, P.V.2    Fubara, B.3    Singer, J.H.4    Briggman, K.L.5
  • 34
    • 84938233335 scopus 로고    scopus 로고
    • Saturated reconstruction of a volume of neocortex
    • PID: 26232230
    • Kasthuri, N. et al. Saturated reconstruction of a volume of neocortex. Cell 162, 648–661 (2015)
    • (2015) Cell , vol.162 , pp. 648-661
    • Kasthuri, N.1
  • 35
    • 3042525106 scopus 로고    scopus 로고
    • Learning to detect natural image boundaries using local brightness, color, and texture cues
    • PID: 15460277
    • Martin, D. R., Fowlkes, C. C. & Malik, J. Learning to detect natural image boundaries using local brightness, color, and texture cues. IEEE Trans. Pattern Anal. Mach. Intell. 26, 530–549 (2004)
    • (2004) IEEE Trans. Pattern Anal. Mach. Intell. , vol.26 , pp. 530-549
    • Martin, D.R.1    Fowlkes, C.C.2    Malik, J.3
  • 40
    • 84990051024 scopus 로고    scopus 로고
    • Recurrent instance segmentation
    • Springer, Cham
    • Romera-Paredes, B. & Torr, P. H. S. Recurrent instance segmentation. in Computer Vision—ECCV 2016 (eds. Leibe, B. et al.) 312–329 (Springer, Cham, 2016)
    • (2016) Computer Vision—ECCV 2016 , pp. 312-329
    • Romera-Paredes, B.1    Torr, P.H.S.2
  • 44
    • 0000359337 scopus 로고
    • Backpropagation applied to handwritten zip code recognition
    • LeCun, Y. et al. Backpropagation applied to handwritten zip code recognition. Neural Comput. 1, 541–551 (1989)
    • (1989) Neural Comput. , vol.1 , pp. 541-551
    • LeCun, Y.1
  • 49
    • 85018497070 scopus 로고    scopus 로고
    • EM connectomics reveals axonal target variation in a sequence-generating network
    • PID: 28346140
    • Kornfeld, J. et al. EM connectomics reveals axonal target variation in a sequence-generating network. eLife 6, e24364 (2017)
    • (2017) eLife , vol.6
    • Kornfeld, J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.