Adaptive multiorientation resolution analysis of complex filamentous network images
暂无分享,去创建一个
Khuloud Jaqaman | Mark Kittisopikul | Amir Vahabikashi | Takeshi Shimi | Robert D Goldman | K. Jaqaman | T. Shimi | Mark Kittisopikul | R. Goldman | A. Vahabikashi
[1] Michael Unser,et al. Design of Steerable Wavelets to Detect Multifold Junctions , 2016, IEEE Transactions on Image Processing.
[2] Edward H. Adelson,et al. The Design and Use of Steerable Filters , 1991, IEEE Trans. Pattern Anal. Mach. Intell..
[3] Ching Y. Suen,et al. Thinning Methodologies - A Comprehensive Survey , 1992, IEEE Trans. Pattern Anal. Mach. Intell..
[4] Juliette Griffié,et al. Quantitative fibre analysis of single-molecule localization microscopy data , 2018, Scientific Reports.
[5] Pakorn Kanchanawong,et al. Extracting microtubule networks from superresolution single-molecule localization microscopy data , 2017, Molecular biology of the cell.
[6] John F. Canny,et al. A Computational Approach to Edge Detection , 1986, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[7] Sjoerd Stallinga,et al. Co-Orientation: Quantifying Simultaneous Co-Localization and Orientational Alignment of Filaments in Light Microscopy , 2015, PloS one.
[8] Zhuo Gan,et al. Vimentin Intermediate Filaments Template Microtubule Networks to Enhance Persistence in Cell Polarity and Directed Migration. , 2016, Cell systems.
[9] Michael Unser,et al. B-spline signal processing. I. Theory , 1993, IEEE Trans. Signal Process..
[10] Dimitri Van De Ville,et al. Steerable pyramids and tight wavelet frames in L 2 ( R d ) , 2011 .
[11] Mathews Jacob,et al. Design of steerable filters for feature detection using canny-like criteria , 2004, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[12] Til Aach,et al. Analysis of Multiple Orientations , 2009, IEEE Transactions on Image Processing.
[13] Gabriella Sanniti di Baja,et al. Hierarchical Decomposition of Multiscale Skeletons , 2001, IEEE Trans. Pattern Anal. Mach. Intell..
[14] K. Jaqaman,et al. Nuclear Lamins A/C and B1 Provide a Structural Framework That Organizes and Anchors Nuclear Pore Complexes , 2020 .
[15] John P. Boyd,et al. Computing the zeros, maxima and inflection points of Chebyshev, Legendre and Fourier series: solving transcendental equations by spectral interpolation and polynomial rootfinding , 2007 .
[16] Michael Unser,et al. A Unifying Parametric Framework for 2D Steerable Wavelet Transforms , 2013, SIAM J. Imaging Sci..
[17] Ashok Samal,et al. Semi-Automated Road Detection From High Resolution Satellite Images by Directional Morphological Enhancement and Segmentation Techniques , 2012, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
[18] K. Jaqaman,et al. Computational analysis of lamin isoform interactions with nuclear pore complexes , 2020, bioRxiv.
[19] Michael Unser,et al. Steerable Wavelet Machines (SWM): Learning Moving Frames for Texture Classification , 2017, IEEE Transactions on Image Processing.
[20] Yoshinobu Sato,et al. Orientation Space Filtering for Multiple Orientation Line Segmentation , 2000, IEEE Trans. Pattern Anal. Mach. Intell..
[21] Anthony Nicholls,et al. Confidence limits, error bars and method comparison in molecular modeling. Part 1: The calculation of confidence intervals , 2014, Journal of Computer-Aided Molecular Design.
[22] Yixian Zheng,et al. Structural organization of nuclear lamins A, C, B1, and B2 revealed by superresolution microscopy , 2015, Molecular biology of the cell.
[23] H. Sebastian Seung,et al. Trainable Weka Segmentation: a machine learning tool for microscopy pixel classification , 2017, Bioinform..