Automated three-dimensional reconstruction and morphological analysis of dendritic spines based on semi-supervised learning

Biomedical Optics Express

Volumn 5, Issue 5, 2014, Pages 1541-1553

  Shi, Peng ^a   Huang, Yue ^b   Hong, Jinsheng ^c  

^a FUJIAN NORMAL UNIVERSITY   (China)

^b XIAMEN UNIVERSITY   (China)

^c FUJIAN MEDICAL UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

LINGUISTICS; MORPHOLOGY; NEURONS; THREE DIMENSIONAL;

HUMAN INTERVENTION; MORPHOLOGICAL ANALYSIS; MORPHOLOGICAL CHANGES; MORPHOLOGICAL CLASSIFICATIONS; SEMI-SUPERVISED LEARNING; SEMI-SUPERVISED LEARNING (SSL); THREE DIMENSIONAL (3D) STRUCTURES; THREE-DIMENSIONAL RECONSTRUCTION;

SUPERVISED LEARNING;

ALGORITHM; ARTICLE; AUTOANALYSIS; CLASSIFICATION ALGORITHM; DENDRITIC CELL; DENDRITIC SPINE; FILTER; IMAGE PROCESSING; IMAGE QUALITY; LASER MICROSCOPY; MACHINE LEARNING; MORPHOMETRICS; MUSHROOM; NEUROIMAGING; NONHUMAN; OPTICAL INSTRUMENTATION; PHENOTYPE; SEMI SUPERVISED LEARNING; SENSITIVITY AND SPECIFICITY; SIGNAL NOISE RATIO; THREE DIMENSIONAL IMAGING;

EID: 84899749345     PISSN: None     EISSN: 21567085     Source Type: Journal    
DOI: 10.1364/BOE.5.001541     Document Type: Article

References (22)

1. S. Knafo, L. Alonso-Nanclares, J. Gonzalez-Soriano, P. Merino-Serrais, I. Fernaud-Espinosa, I. Ferrer, and J. DeFelipe, "Widespread Changes in Dendritic Spines in a Model of Alzheimer's Disease, " Cereb. Cortex 19(3), 586-592 (2009).
2. T. L. Spires, M. Meyer-Luehmann, E. A. Stern, P. J. McLean, J. Skoch, P. T. Nguyen, B. J. Bacskai, and B. T. Hyman, "Dendritic Spine Abnormalities in Amyloid Precursor Protein Transgenic Mice Demonstrated by Gene Transfer and Intravital Multiphoton Microscopy, " J. Neurosci. 25(31), 7278-7287 (2005).
3. D. M. Hartley, C. P. Ye, T. Diehl, S. Vasquez, P. M. Vassilev, D. B. Teplow, and D. J. Selkoe, "Protofibrillar Intermediates of Amyloid Beta-protein Induce Acute Electrophysiological Changes and Progressive neurotoxicity in Cortical Neurons, " J. Neurosci. Methods 19(20), 9 (1999).
4. J. B. Pawley, Handbook of Biological Confocal Microscopy. 3rd ed., Springer, 988 (2006).
5. E. A. Nimchinsky, B. L. Sabatini, and K. Svoboda, "Structure and Function of Dendritic Spines, " Annu. Rev. Physiol. 64(1), 313-353 (2002).
6. Y. Zhang, X. Zhou, R. M. Witt, B. L. Sabatini, D. Adjeroh, and S. T. Wong, "Dendritic spine detection using curvilinear structure detector and LDA classifier, " Neuroimage 36(2), 346-360 (2007).
7. J. Cheng, E. Miller, R. M. Witt, J. Zhu, B. L. Sabatini, and S. T. C. Wong, "A Novel Computational Approach for Automated Dendrite Spines Detection in Two-photon Laser Scan Microscopy, " J. Neurosci. Methods 165(1), 13 (2007).
8. W. Bai, L. Ji, J. Cheng, and S. T. C. Wong, "Automated Dendritic Spine Analysis in Two-Photon Laser Scanning Microscopy Images, " Cytometry A 71(10), 9 (2007).
9. F. Janoos, X. Xu, R. Machiraju, K. Huang, and S. T. C. Wong, "Robust 3D Reconstruction and Idnetification of Dendritic Spines from Optical Microscopy Imaging, " Med. Image Anal. 13(1), 167-179 (2009).
10. A. Rodriguez, D. L. Dickstein, P. R. Hof, and S. L. Wearne, "Automated Three-Dimensional Detection and Shape Classification of Dendritic Spines from Fluorescence Microscopy Images, " PLOS one, 3(4), e1997 (2008).
11. A. Rodriguez, D. B. Ehlenberger, P. R. Hof, and S. L. Wearne, "Rayburst Sampling, an algorithm for automated three-dimensional shape analysis from laser scanning microscopy images, " Nat. Protoc. 1(4), 2152-2161 (2006).
12. M. Matsuzaki, G. C. Ellis-Davies, and H. Kasai, "Three-dimensional mapping of unitary synaptic connections by two-photon macro photolysis of caged glutamate, " J. Neurophysiol. 99(3), 1535-1544 (2008).
13. R. Yuste and W. Denk, "Dendritic spines as basic functional units of neuronal integration, " Nature 375(6533), 682-684 (1995).
14. K. Svoboda and R. Yasuda, "Principles of two-photon excitation microscopy and its applications to neuroscience, " Neuron 50(6), 823-839 (2006).
15. Q. Li, X. B. Zhou, Z. Deng, M. Baron, M. A. Teylan, Y. Kim, and S. T. C. Wong, A Novel Surface-based Geometric Approach for 3D Dendritic Spine Detection from Multi-phonton Excitation Microscopy Images, in The Sixth IEEE International Symposium on Biomedical Imaging. IEEE: Boston, MA, U.S. (2009).
16. H. Hering and M. Sheng, "Dendritic spines: structure, dynamics and regulation, " Nat. Rev. Neurosci. 2(12), 880-888 (2001).
17. Y. Hayashi and A. K. Majewska, "Dendritic Spine Geometry: Functional Implication and Regulation, " Neuron 46(4), 529-532 (2005).
18. O. Chapelle, and A. Zien, Semi-Supervised Learning (Cambridge: MIT Press 2006).
19. D. Zhou, T. N. Lal, J. Weston, and B. Scholkopf, Learning with Local and Global Consistency. Advances in Neural Information Processing Systems, 16, 321-8 (2004).
20. P. E. Greenwood, A Guide to Chi-Squared Testing, 280 (John Wiley & Sons, 1996).
21. A. Tashiro and R. Yuste, "Structure and molecular organization of dendritic spines, " Histol. Histopathol. 18(2), 617-634 (2003).
22. J. Shawe-Taylor and N. Crisianini, Support Vector Machines and Other Kernel-Based Learning Methods (Cambridge, UK: Cambridge University Press 2000).