Enhancement of cell boundaries in transmission electron microscopy images | IEEE Conference Publication | IEEE Xplore

Enhancement of cell boundaries in transmission electron microscopy images


Abstract:

Transmission electron microscopy (TEM) is an important modality for the analysis of cellular structures in neurobiology. The computational analysis of neurons entail thei...Show More

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.
Date of Conference: 14-14 September 2005
Date Added to IEEE Xplore: 14 November 2005
Print ISBN:0-7803-9134-9

ISSN Information:

PubMed ID: 19169423
Conference Location: Genova, Italy
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1. Introduction

An important goal of neurobiological research is to decipher the patterns of neuronal connections that govern vertebrate behavior. Medical imaging modalities such as magnetic resonance imaging (MRI) provide 3D measurements of the brain with resolutions on the order of 1 mm. This resolution provides macroscopic information about brain organization, but does not allow analysis of individual neurons. Confocal light microscopy provides 3D measurements with a resolution on the order of 1 micron, which is still insufficient to reconstruct synaptic connections of individual neurons. Understanding brain function at the cellular level requires a detailed analysis of connectivity of individual neurons in regions that consist of densely packed cells and processes. Electron microscopy, which can provide resolutions on the order of 1 nanometer, remains the primary tool for resolving neurons, their sub-cellular 3D structures, and their connections. However, compared to the vast amount of research in medical imaging modalities such as MRI and CT, the number of scientific papers on electron microscopy applications in the image processing community has been very limited.

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References

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