A Hierarchical Convolutional Neural Network for vesicle fusion event classification

[1]  Gero Miesenböck,et al.  Visualizing secretion and synaptic transmission with pH-sensitive green fluorescent proteins , 1998, Nature.

[2]  Yoon Kim,et al.  Convolutional Neural Networks for Sentence Classification , 2014, EMNLP.

[3]  Robert C. Bolles,et al.  Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography , 1981, CACM.

[4]  H. Schneckenburger.  Total internal reflection fluorescence microscopy: technical innovations and novel applications. , 2005, Current opinion in biotechnology.

[5]  Zhaozheng Yin,et al.  A deep convolutional neural network trained on representative samples for circulating tumor cell detection , 2016, 2016 IEEE Winter Conference on Applications of Computer Vision (WACV).

[6]  Jinzhong Zhang,et al.  Spatiotemporal detection and analysis of exocytosis reveal fusion "hotspots" organized by the cytoskeleton in endocrine cells. , 2015, Biophysical journal.

[7]  Nitish Srivastava,et al.  Dropout: a simple way to prevent neural networks from overfitting , 2014, J. Mach. Learn. Res..

[8]  Dimitrios Vavylonis,et al.  Interactive, computer-assisted tracking of speckle trajectories in fluorescence microscopy: application to actin polymerization and membrane fusion. , 2011, Biophysical journal.

[9]  S. Rizzoli,et al.  Kiss‐and‐run, Collapse and ‘Readily Retrievable’ Vesicles , 2007, Traffic.

[10]  Matthew J. Hausknecht,et al.  Beyond short snippets: Deep networks for video classification , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[11]  Charles Kervrann,et al.  A detection-based framework for the analysis of recycling in TIRF microscopy , 2010, 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

[12]  Lawrence M. Lifshitz,et al.  Insulin Stimulates Membrane Fusion and GLUT4 Accumulation in Clathrin Coats on Adipocyte Plasma Membranes , 2007, Molecular and Cellular Biology.

[13]  Fei-Fei Li,et al.  Large-Scale Video Classification with Convolutional Neural Networks , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.

[14]  J. Tavaré,et al.  The molecular basis of insulin-stimulated glucose uptake: signalling, trafficking and potential drug targets. , 2009, The Journal of endocrinology.

[15]  Yingke Xu,et al.  Optogenetic activation reveals distinct roles of PIP3 and Akt in adipocyte insulin action , 2016, Journal of Cell Science.

[16]  David E. James,et al.  Towards fully automated Identification of Vesicle‐Membrane Fusion Events in TIRF Microscopy , 2007 .

[17]  R. Jahn,et al.  Molecular machines governing exocytosis of synaptic vesicles , 2012, Nature.

[18]  Ah Chung Tsoi,et al.  Face recognition: a convolutional neural-network approach , 1997, IEEE Trans. Neural Networks.

[19]  Patrick Bouthemy,et al.  Detection and estimation of membrane diffusion during exocytosis in TIRFM image sequences , 2015, 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI).

[20]  Majid Mirmehdi,et al.  A Diffusion Model for Detecting and Classifying Vesicle Fusion and Undocking Events , 2012, MICCAI.

[21]  Patrick Bouthemy,et al.  Localization and classification of membrane dynamics in TIRF microscopy image sequences , 2014, 2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI).

[22]  Zhaozheng Yin,et al.  A Hierarchical Convolutional Neural Network for Mitosis Detection in Phase-Contrast Microscopy Images , 2016, MICCAI.

[23]  Karl Rohr,et al.  Identifying Virus-Cell Fusion in Two-Channel Fluorescence Microscopy Image Sequences Based on a Layered Probabilistic Approach , 2012, IEEE Transactions on Medical Imaging.

[24]  Hang Li,et al.  Convolutional Neural Network Architectures for Matching Natural Language Sentences , 2014, NIPS.

[25]  D. Axelrod.  Cell-substrate contacts illuminated by total internal reflection fluorescence , 1981, The Journal of cell biology.

[26]  Geoffrey E. Hinton,et al.  ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.

[27]  Jian Wu,et al.  Automatically Identifying Fusion Events between GLUT4 Storage Vesicles and the Plasma Membrane in TIRF Microscopy Image Sequences , 2015, Comput. Math. Methods Medicine.

[28]  Tao Xu,et al.  Dissecting multiple steps of GLUT4 trafficking and identifying the sites of insulin action. , 2007, Cell metabolism.

[29]  H. Schmalbruch,et al.  Subcellular Localization of GLUT4 in Nonstimulated and Insulin-Stimulated Soleus Muscle of Rat , 1992, Diabetes.

[30]  Patrice Dosset,et al.  Automatic detection of diffusion modes within biological membranes using back-propagation neural network , 2016, BMC Bioinformatics.

[31]  J. Pessin,et al.  Ins (endocytosis) and outs (exocytosis) of GLUT4 trafficking. , 2007, Current opinion in cell biology.

[32]  Karl Rohr,et al.  Identifying fusion events in fluorescence microscopy images , 2009, 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

[33]  Haohan Li.  A Gaussian mixture model for automated vesicle fusion detection and classification , 2015 .

[34]  Yingke Xu,et al.  Dual-mode of insulin action controls GLUT4 vesicle exocytosis , 2011, The Journal of cell biology.