Difference between revisions of "Template:The Technology"
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* '''[[Serial block-face scanning electron microscopy (SBFSEM)]]''': Electron microscopy is the canonical method to image neurons on an ultrastructural level. EyeWire's dataset was obtained using this imaging technique. | * '''[[Serial block-face scanning electron microscopy (SBFSEM)]]''': Electron microscopy is the canonical method to image neurons on an ultrastructural level. EyeWire's dataset was obtained using this imaging technique. | ||
* '''[[Artificial Intelligence]]''': The reconstruction of neurons is completed using both machine learning algorithms and human expertise. | * '''[[Artificial Intelligence]]''': The reconstruction of neurons is completed using both machine learning algorithms and human expertise. | ||
* '''[[E2198| EyeWire Image Dataset]]''': The EyeWire dataset, E2198, was obtained from Max Planck Institute in Germany. | * '''[[E2198| EyeWire Image Dataset]]''': The EyeWire dataset, E2198, was obtained from Max Planck Institute in Germany. | ||
* '''[http://seunglab.org/software/ Open source software from the Seung Lab]''': Use our open source software to develop improved methods for electron microscopy image segmentation. | * '''[http://seunglab.org/software/ Open source software from the Seung Lab]''': Use our open source software to develop improved methods for electron microscopy image segmentation. | ||
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Revision as of 10:43, 25 November 2015
- Serial block-face scanning electron microscopy (SBFSEM): Electron microscopy is the canonical method to image neurons on an ultrastructural level. EyeWire's dataset was obtained using this imaging technique.
- Artificial Intelligence: The reconstruction of neurons is completed using both machine learning algorithms and human expertise.
- EyeWire Image Dataset: The EyeWire dataset, E2198, was obtained from Max Planck Institute in Germany.
- Open source software from the Seung Lab: Use our open source software to develop improved methods for electron microscopy image segmentation.
