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Items: 1 to 20 of 92

1.

Automated analysis of a diverse synapse population.

Busse B, Smith S.

PLoS Comput Biol. 2013;9(3):e1002976. doi: 10.1371/journal.pcbi.1002976. Epub 2013 Mar 28.

2.

Single-synapse analysis of a diverse synapse population: proteomic imaging methods and markers.

Micheva KD, Busse B, Weiler NC, O'Rourke N, Smith SJ.

Neuron. 2010 Nov 18;68(4):639-53. doi: 10.1016/j.neuron.2010.09.024.

3.

Synaptic molecular imaging in spared and deprived columns of mouse barrel cortex with array tomography.

Weiler NC, Collman F, Vogelstein JT, Burns R, Smith SJ.

Sci Data. 2014 Dec 23;1:140046. doi: 10.1038/sdata.2014.46. eCollection 2014.

4.

Mapping synapses by conjugate light-electron array tomography.

Collman F, Buchanan J, Phend KD, Micheva KD, Weinberg RJ, Smith SJ.

J Neurosci. 2015 Apr 8;35(14):5792-807. doi: 10.1523/JNEUROSCI.4274-14.2015.

5.

Learning-guided automatic three dimensional synapse quantification for drosophila neurons.

Sanders J, Singh A, Sterne G, Ye B, Zhou J.

BMC Bioinformatics. 2015 May 28;16:177. doi: 10.1186/s12859-015-0616-y.

6.

Superresolution imaging of chemical synapses in the brain.

Dani A, Huang B, Bergan J, Dulac C, Zhuang X.

Neuron. 2010 Dec 9;68(5):843-56. doi: 10.1016/j.neuron.2010.11.021.

7.

New approach to capture and characterize synaptic proteome.

Liu XA, Kadakkuzha B, Pascal B, Steckler C, Akhmedov K, Yan L, Chalmers M, Puthanveettil SV.

Proc Natl Acad Sci U S A. 2014 Nov 11;111(45):16154-9. doi: 10.1073/pnas.1401483111. Epub 2014 Oct 28.

8.

Learning context cues for synapse segmentation in EM volumes.

Becker C, Ali K, Knott G, Fua P.

Med Image Comput Comput Assist Interv. 2012;15(Pt 1):585-92.

PMID:
23285599
9.

Organization of brain complexity--synapse proteome form and function.

Pocklington AJ, Armstrong JD, Grant SG.

Brief Funct Genomic Proteomic. 2006 Mar;5(1):66-73. Epub 2006 Feb 24. Review.

PMID:
16769682
10.

Synapse proteomics: current status and quantitative applications.

Li KW, Jimenez CR.

Expert Rev Proteomics. 2008 Apr;5(2):353-60. doi: 10.1586/14789450.5.2.353. Review.

PMID:
18466062
11.

Automated quantification of synaptic fluorescence in C. elegans.

Sturt BL, Bamber BA.

J Vis Exp. 2012 Aug 10;(66). pii: 4090. doi: 10.3791/4090.

12.

Deep molecular diversity of mammalian synapses: why it matters and how to measure it.

O'Rourke NA, Weiler NC, Micheva KD, Smith SJ.

Nat Rev Neurosci. 2012 May 10;13(6):365-79. doi: 10.1038/nrn3170. Review.

13.

Automated detection of synapses in serial section transmission electron microscopy image stacks.

Kreshuk A, Koethe U, Pax E, Bock DD, Hamprecht FA.

PLoS One. 2014 Feb 6;9(2):e87351. doi: 10.1371/journal.pone.0087351. eCollection 2014.

14.

The synapse proteome and phosphoproteome: a new paradigm for synapse biology.

Grant SG.

Biochem Soc Trans. 2006 Feb;34(Pt 1):59-63. Review.

PMID:
16417483
15.

A high-throughput framework to detect synapses in electron microscopy images.

Navlakha S, Suhan J, Barth AL, Bar-Joseph Z.

Bioinformatics. 2013 Jul 1;29(13):i9-17. doi: 10.1093/bioinformatics/btt222.

16.

Thalamocortical input onto layer 5 pyramidal neurons measured using quantitative large-scale array tomography.

Rah JC, Bas E, Colonell J, Mishchenko Y, Karsh B, Fetter RD, Myers EW, Chklovskii DB, Svoboda K, Harris TD, Isaac JT.

Front Neural Circuits. 2013 Nov 12;7:177. doi: 10.3389/fncir.2013.00177. eCollection 2013.

17.

Human post-mortem synapse proteome integrity screening for proteomic studies of postsynaptic complexes.

Bayés À, Collins MO, Galtrey CM, Simonnet C, Roy M, Croning MD, Gou G, van de Lagemaat LN, Milward D, Whittle IR, Smith C, Choudhary JS, Grant SG.

Mol Brain. 2014 Nov 28;7:88. doi: 10.1186/s13041-014-0088-4.

18.

Learning context cues for synapse segmentation.

Becker C, Ali K, Knott G, Fua P.

IEEE Trans Med Imaging. 2013 Oct;32(10):1864-77. doi: 10.1109/TMI.2013.2267747. Epub 2013 Jun 11.

PMID:
23771317
19.

In vivo imaging of synapse plasticity in the mouse motor cortex.

Zuo Y, Yu X, Tennant K, Jones T.

Methods Mol Biol. 2013;1010:45-57. doi: 10.1007/978-1-62703-411-1_4.

PMID:
23754218
20.

Use of high content image analysis to detect chemical-induced changes in synaptogenesis in vitro.

Harrill JA, Robinette BL, Mundy WR.

Toxicol In Vitro. 2011 Feb;25(1):368-87. doi: 10.1016/j.tiv.2010.10.011. Epub 2010 Oct 20.

PMID:
20969947

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