Biologically inspired EM image alignment and neural reconstruction | Zendy

Seymour Knowles-Barley | Zendy; Nancy J. Butcher | Zendy; Ian A. Meinertzhagen | Zendy; J. Douglas Armstrong | Zendy

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Biologically inspired EM image alignment and neural reconstruction

Author(s) -

Seymour Knowles-Barley,

Nancy J. Butcher,

Ian A. Meinertzhagen,

J. Douglas Armstrong

Publication year - 2011

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btr378

Subject(s) - computer science , artificial intelligence , pattern recognition (psychology) , computer vision , dynamic programming , segmentation , shortest path problem , algorithm , theoretical computer science , graph

Three-dimensional reconstruction of consecutive serial-section transmission electron microscopy (ssTEM) images of neural tissue currently requires many hours of manual tracing and annotation. Several computational techniques have already been applied to ssTEM images to facilitate 3D reconstruction and ease this burden.

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