SegEM: Efficient Image Analysis for High-Resolution Connectomics
نویسندگان
چکیده
منابع مشابه
SegEM: Efficient Image Analysis for High-Resolution Connectomics
Progress in electron microscopy-based high-resolution connectomics is limited by data analysis throughput. Here, we present SegEM, a toolset for efficient semi-automated analysis of large-scale fully stained 3D-EM datasets for the reconstruction of neuronal circuits. By combining skeleton reconstructions of neurons with automated volume segmentations, SegEM allows the reconstruction of neuronal...
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ژورنال
عنوان ژورنال: Neuron
سال: 2015
ISSN: 0896-6273
DOI: 10.1016/j.neuron.2015.09.003