In JoVE (1)
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Articles by Joaquin Correa in JoVE
From Voxels to Knowledge: A Practical Guide to the Segmentation of Complex Electron Microscopy 3D-Data Wen-Ting Tsai1, Ahmed Hassan1, Purbasha Sarkar2, Joaquin Correa1,3, Zoltan Metlagel1, Danielle M. Jorgens1, Manfred Auer1,2 1Life Sciences Division, Lawrence Berkeley National Laboratory, 2Joint Bioenergy Institute, Physical Biosciences Division, Lawrence Berkeley National Laboratory, 3National Energy Research Scientific Computing Center, Lawrence Berkeley National Laboratory The bottleneck for cellular 3D electron microscopy is feature extraction (segmentation) in highly complex 3D density maps. We have developed a set of criteria, which provides guidance regarding which segmentation approach (manual, semi-automated, or automated) is best suited for different data types, thus providing a starting point for effective segmentation.