Enhancement of cell boundaries in transmission electron microscopy images

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.

[1]  Yasser M. Kadah,et al.  Real-time speckle reduction and coherence enhancement in ultrasound imaging via nonlinear anisotropic diffusion , 2002, IEEE Transactions on Biomedical Engineering.

[2]  Kristen M. Harris,et al.  Synthesis of Research: Extending Unbiased Stereology of Brain Ultrastructure to Three-dimensional Volumes , 2001, J. Am. Medical Informatics Assoc..

[3]  Guillermo Sapiro,et al.  Segmenting neurons in electronic microscopy via geometric tracing , 1998, Proceedings 1998 International Conference on Image Processing. ICIP98 (Cat. No.98CB36269).

[4]  Guillermo Sapiro,et al.  Morphing active contours: a geometric approach to topology-independent image segmentation and tracking , 1998, Proceedings 1998 International Conference on Image Processing. ICIP98 (Cat. No.98CB36269).

[5]  Joachim Weickert,et al.  Coherence-Enhancing Diffusion Filtering , 1999, International Journal of Computer Vision.

[6]  Demetri Terzopoulos,et al.  Computer-assisted registration, segmentation, and 3D reconstruction from images of neuronal tissue sections , 1994, IEEE Trans. Medical Imaging.

[7]  Gregory Randall,et al.  Neuro3D: an interactive 3D reconstruction system of serial sections using automatic registration , 1998, Photonics West - Biomedical Optics.

[8]  Jitendra Malik,et al.  Scale-Space and Edge Detection Using Anisotropic Diffusion , 1990, IEEE Trans. Pattern Anal. Mach. Intell..

[9]  René A. Carmona,et al.  Adaptive smoothing respecting feature directions , 1998, IEEE Trans. Image Process..