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12 Segmentation of Features in Electron Tomographic Reconstructions
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W. Baumeister, H.C. Hege, Automated segmentation of electron tomograms for a
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93. B. Weber, G. Greenan, S. Prohaska, D. Baum, H.C. Hege, T. Müller-Reichert, A.A. Hyman,
J.M. Verbavatz, Automated tracing of microtubules in electron tomograms of plastic
embedded samples of Caenorhabditis elegans embryos. J. Struct. Biol. 178, 129–138 (2011)
94. S. Redemann, B. Weber, M. Möller, J.M. Verbavatz, A.A. Hyman, D. Baum, S. Prohaska,
T. Müller-Reichert, The segmentation of microtubules in electron tomograms using Amira.
Methods Mol. Biol. 1136, 261–278 (2014)
95. M. Rusu, Z. Starosolski, M. Wahle, A. Rigort, W. Wriggers, Automated tracing of filaments
in 3D electron tomography reconstructions using Sculptor and Situs. J. Struct. Biol. 178,
121–128 (2012)
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crosslinking. Biophys. J. 67, 1976–1983 (1994)
97. C. Sukow, D.J. DeRosier, Order, disorder, and perturbations in actin-aldolase rafts. Biophys.
J. 85, 525–536 (2003)
98. J.S. Kim, M.J. Greene, A. Zlateski, K. Lee, M. Richardson, S.C. Turaga, M. Purcaro,
M. Balkam, A. Robinson, B.F. Behabadi, M. Campos, W. Denk, H.S. Seung, EyeWirers,
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336 (2014)
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block face scanning electron microscopy. J. Microsc. 263, 3–9 (2016)
100. R.J. Giuly, K.Y. Kim, M.H. Ellisman, DP2: distributed 3D image segmentation using
micro-labor workforce. Bioinformatics 29, 1359–1360 (2013)
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visual hindsight bias. J. Exp. Psychol. Learn. Mem. Cogn. 30, 960–968 (2004)
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Bayesian account of perceptual biases by contextual influences. PLoS Comput. Biol. 4, e14
(2008)
103. L.T. Maloney, M.F. Dal Martello, C. Sahm, L. Spillmann, Past trials influence perception of
ambiguous motion quartets through pattern completion. Proc. Natl. Acad. Sci. U. S. A. 102,
3164–3169 (2005)
104. J. Liu, J. Li, L. Feng, L. Li, J. Tian, K. Lee, Seeing Jesus in toast: neural and behavioral
correlates of face pareidolia. Cortex 53, 60–77 (2014)
105. R. Norousi, S. Wickles, C. Leidig, T. Becker, V.J. Schmid, R. Beckmann, A. Tresch,
Automatic post-picking using MAPPOS improves particle image detection from cryo-EM
micrographs. J. Struct. Biol. 182, 59–66 (2013)
106. R. Langlois, J. Pallesen, J. Frank, Reference-free particle selection enhanced with
semi-supervised machine learning for cryo-electron microscopy. J. Struct. Biol. 175, 353–
361 (2011)
107. C.O.S. Sorzano, E. Recarte, M. Alcorlo, J.R. Bilbao-Castro, C. San-Martin, R. Marabini,
J.M. Carazo, Automatic particle selection from electron micrographs using machine learning
techniques. J. Struct. Biol. 167, 252–260 (2009)
108. P. Arbeláez, B.G. Han, D. Typke, J. Lim, R.M. Glaeser, J. Malik, Experimental evaluation
of support vector machine-based and correlation-based approaches to automatic particle
selection. J. Struct. Biol. 175, 319–328 (2011)
109. R. Langlois, J. Pallesen, J.T. Ash, D.N. Ho, J.L. Rubinstein, J. Frank, Automated particle
picking for low-contrast macromolecules in cryo-electron microscopy. J. Struct. Biol. 186,
1–7 (2014)
12 Segmentation of Features in Electron Tomographic Reconstructions
317