Literature DB >> 19169423

ENHANCEMENT OF CELL BOUNDARIES IN TRANSMISSION ELECTRON MICROSCOPY IMAGES.

Tolga Tasdizen1, Ross Whitaker, Robert Marc, Bryan Jones.   

Abstract

Transmission electron microscopy (TEM) is an important modality for the analysis of cellular structures in neurobiology. The computational analysis of neurons entail their segmentation and reconstruction from TEM images. This problem is complicated by the heavily textured nature of cellular TEM images and typically low signal-to-noise ratios. In this paper, we propose a new partial differential equation for enhancing the contrast and continuity of cell membranes in TEM images.

Year:  2005        PMID: 19169423      PMCID: PMC2630188          DOI: 10.1109/ICIP.2005.1530008

Source DB:  PubMed          Journal:  Proc Int Conf Image Proc        ISSN: 1522-4880


  4 in total

1.  Extending unbiased stereology of brain ultrastructure to three-dimensional volumes.

Authors:  J C Fiala; K M Harris
Journal:  J Am Med Inform Assoc       Date:  2001 Jan-Feb       Impact factor: 4.497

2.  Real-time speckle reduction and coherence enhancement in ultrasound imaging via nonlinear anisotropic diffusion.

Authors:  Khaled Z Abd-Elmoniem; Abou-Bakr M Youssef; Yasser M Kadah
Journal:  IEEE Trans Biomed Eng       Date:  2002-09       Impact factor: 4.538

3.  Adaptive smoothing respecting feature directions.

Authors:  R A Carmona; S Zhong
Journal:  IEEE Trans Image Process       Date:  1998       Impact factor: 10.856

4.  Computer-assisted registration, segmentation, and 3D reconstruction from images of neuronal tissue sections.

Authors:  I Carlbom; D Terzopoulos; K M Harris
Journal:  IEEE Trans Med Imaging       Date:  1994       Impact factor: 10.048

  4 in total
  8 in total

1.  AN OPTIMAL-PATH APPROACH FOR NEURAL CIRCUIT RECONSTRUCTION.

Authors:  Elizabeth Jurrus; Ross Whitaker; Bryan W Jones; Robert Marc; Tolga Tasdizen
Journal:  Proc IEEE Int Symp Biomed Imaging       Date:  2008-05

2.  ANISOTROPIC PLATE DIFFUSION FILTERING FOR DETECTION OF CELL MEMBRANES IN 3D MICROSCOPY IMAGES.

Authors:  K Mosaliganti; F Janoos; A Gelas; R Noche; N Obholzer; R Machiraju; Sean G Megason
Journal:  Proc IEEE Int Symp Biomed Imaging       Date:  2010

3.  Semi-automated neuron boundary detection and nonbranching process segmentation in electron microscopy images.

Authors:  Elizabeth Jurrus; Shigeki Watanabe; Richard J Giuly; Antonio R C Paiva; Mark H Ellisman; Erik M Jorgensen; Tolga Tasdizen
Journal:  Neuroinformatics       Date:  2013-01

4.  WATERSHED MERGE FOREST CLASSIFICATION FOR ELECTRON MICROSCOPY IMAGE STACK SEGMENTATION.

Authors:  Ting Liu; Mojtaba Seyedhosseini; Mark Ellisman; Tolga Tasdizen
Journal:  Proc IEEE Int Conf Comput Vis       Date:  2013-09

5.  Scalable and interactive segmentation and visualization of neural processes in EM datasets.

Authors:  Won-Ki Jeong; Johanna Beyer; Markus Hadwiger; Amelio Vazquez; Hanspeter Pfister; Ross T Whitaker
Journal:  IEEE Trans Vis Comput Graph       Date:  2009 Nov-Dec       Impact factor: 4.579

6.  A modular hierarchical approach to 3D electron microscopy image segmentation.

Authors:  Ting Liu; Cory Jones; Mojtaba Seyedhosseini; Tolga Tasdizen
Journal:  J Neurosci Methods       Date:  2014-01-31       Impact factor: 2.390

7.  Detection of neuron membranes in electron microscopy images using a serial neural network architecture.

Authors:  Elizabeth Jurrus; Antonio R C Paiva; Shigeki Watanabe; James R Anderson; Bryan W Jones; Ross T Whitaker; Erik M Jorgensen; Robert E Marc; Tolga Tasdizen
Journal:  Med Image Anal       Date:  2010-06-18       Impact factor: 8.545

Review 8.  Machines that learn to segment images: a crucial technology for connectomics.

Authors:  Viren Jain; H Sebastian Seung; Srinivas C Turaga
Journal:  Curr Opin Neurobiol       Date:  2010-10       Impact factor: 6.627

  8 in total

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