Preliminary Study for Multiple Object Oriented Approaches Towards Automated Segmentation, 3d visualisation of Cell Tomography

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M. M., Noor and M. M., Rahman (2012) Preliminary Study for Multiple Object Oriented Approaches Towards Automated Segmentation, 3d visualisation of Cell Tomography. In: 2nd Malaysian Postgraduate Conference, 7-9 July 2012 , Bond University, Gold Coast, Queensland, Australia.. .

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Abstract

The aim of this project is to improve the semi-automated segmentation of mammalian cell tomograms while maintaining a high level of accuracy. To achieve this, we focus on the development and application of new approaches for the high-fidelity, semiautomated segmentation, meshing and visualization of cellular compartments and organelles within large cellular volumes reconstructed in 3D at high (i.e. 4-5 nm) resolution by Electron Tomography (ET). We have observed that by categorizing the ‘complexity level’ of key organelles and testing combinations of promising filtration and segmentation algorithms, results in different optimal parameter settings depending on the complexity level of cell compartments. Cellular tomograms of insulin-secreting pancreatic beta cells are used as primary ‘proof-of-concept’ datasets for this project. Tomograms collected by dual-axis ET of thick (300-400 nm) plastic sections cut from high-pressure frozen, freeze-substituted and plastic-embedded islets of Langerhans isolated intact from adult mouse pancreas and imaged at 300 keV using a Tecnai F30 electron microscope (EM).

Item Type:Conference or Workshop Item (Paper)
Additional Information:Prof. Dr. Md Mustafizur Rahman (M. M. Rahman) Muhamad Mat Noor (M. M. Noor)
Uncontrolled Keywords:Electron tomography; Cell tomography; Noise reduction; Segmentation
Subjects:Q Science > Q Science (General)
Divisions:Faculty of Mechanical Engineering
ID Code:3039
Deposited By: Pn. Hazlinda Abd Rahman
Deposited On:06 Dec 2012 14:31
Last Modified:09 Aug 2017 15:10

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