4.4 Article

Automatic mosaicking and volume assembly for high-throughput serial-section transmission electron microscopy

Journal

JOURNAL OF NEUROSCIENCE METHODS
Volume 193, Issue 1, Pages 132-144

Publisher

ELSEVIER
DOI: 10.1016/j.jneumeth.2010.08.001

Keywords

Image registration; Electron microscopy; Serial section; Connectome

Funding

  1. NIH [EB005832, EY02576, EY015128, EY0124800]
  2. Research to Prevent Blindness

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We describe a computationally efficient and robust fully automatic method for large scale electron microscopy image registration The proposed method is able to construct large Image mosaics from thousands of smaller overlapping tiles with unknown or uncertain positions and to align sections from a serial section capture into a common coordinate system The method also accounts for nonlinear deformations both in constructing sections and in aligning sections to each other The underlying algorithms are based on the Fourier shift property which allows for a computationally efficient and robust method We demonstrate results on two electron microscopy datasets We also quantify the accuracy of the algorithm through a simulated image capture experiment The publicly available software tools include the algorithms and a Graphical User Interface for easy access to the algorithms (C) 2010 Elsevier B V All rights reserved

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