NDLI: Extraction of 3D microtubules axes from cellular electron tomography images

Content Provider	IEEE Xplore Digital Library
Author	Lichen Liang Qiang Ji McEwen, B.F.
Copyright Year	2002
Description	Author affiliation: Dept. of Electr. Comput. & Syst. Eng., Rensselaer Polytech. Inst., Troy, NY, USA (Lichen Liang; Qiang Ji)
Abstract	Microtubules are structural and motile elements. They are essential in numerous cell processes. Their function will be greatly improved by our understanding of their molecular structure, which requires extracting microtubules from the Cellular Electron Tomography Images. Manual segmentation and measurement of the microtubules from 3D dataset may require several man-hours of work, and the manual approach suffers from inter-observer and intra-observer variabilities. Localizing microtubules axes is an important step for the successful segmentation. In this paper, a graph searching based technique for extracting central axes of microtubules from three dimensional Cellular Electron Tomography Images is presented. A tube enhancement filter is introduced in order to define a distance metric for graph searching. The results are promising, indicating that accurate measurements can be obtained in a semi-automatic fashion.
Starting Page	804
Ending Page	807
File Size	288832
Page Count	4
File Format	PDF
ISBN	076951695X
ISSN	10514651
DOI	10.1109/ICPR.2002.1044881
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2002-08-11
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Electrons Tomography Filters Image segmentation Image reconstruction Data mining Proteins Animal structures Manuals Throughput
Content Type	Text
Resource Type	Article
Subject	Computer Vision and Pattern Recognition

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