Publication: Efficient automatic 3D-reconstruction of branching neurons from EM data
Efficient automatic 3D-reconstruction of branching neurons from EM data
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Funke, J., Andres, B., Hamprecht, F. A., Cardona, A., & Cook, M. (2012). Efficient automatic 3D-reconstruction of branching neurons from EM data. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 1004–1011. https://doi.org/10.1109/CVPR.2012.6247777
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We present an approach for the automatic reconstruction of neurons from 3D stacks of electron microscopy sections. The core of our system is a set of possible assignments, each of which proposes with some cost a link between neuron regions in consecutive sections. These can model the continuation, branching, and end of neurons. The costs are trainable on positive assignment samples. An optimal and consistent set of assignments is found for the whole volume at once by solving an integer linear program. This set of assignments determine
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- Funke, Jan
- Andres, Bjoern
- Hamprecht, Fred A
- Cardona, Albert
- Cook, Matthew
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Funke, J., Andres, B., Hamprecht, F. A., Cardona, A., & Cook, M. (2012). Efficient automatic 3D-reconstruction of branching neurons from EM data. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 1004–1011. https://doi.org/10.1109/CVPR.2012.6247777
