Preliminary Study for Multiple Object Oriented Approaches Towards Automated Segmentation, 3d visualisation of Cell Tomography
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...
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| Main Authors: | , |
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| Format: | Conference or Workshop Item |
| Published: |
2012
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| Online Access: | http://umpir.ump.edu.my/3039/ http://umpir.ump.edu.my/3039/1/Preliminary_Study_For_Multiple_Object_Oriented_Approaches_Towards_Automated_Segmentation%2C.pdf |
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| Summary: | 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). |
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