Geometric analysis of 3D electron microscopy data

0Citations
Citations of this article
1Readers
Mendeley users who have this article in their library.
Get full text

Abstract

We present a complete pipeline for the segmentation of 3-dimensional electron microscopy data. Efficient algorithms and parallelization have been developed to make the system applicable to data as large as eight gigavoxels. Discrete geometry plays a prominent role at several processing stages (initial watershed segmentation, cell complex representation, reduction of oversegmentation by a graphical model, topological and geometric feature computation). Many modules described here are available via our open-source software repository. © 2012 Springer-Verlag.

Cite

CITATION STYLE

APA

Köthe, U., Andres, B., Kröger, T., & Hamprecht, F. (2012). Geometric analysis of 3D electron microscopy data. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7346 LNCS, pp. 93–108). https://doi.org/10.1007/978-3-642-32313-3_7

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free