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Elastic volume reconstruction from series of ultra-thin microscopy sections


Saalfeld, Stephan; Fetter, Richard; Cardona, Albert; Tomancak, Pavel (2012). Elastic volume reconstruction from series of ultra-thin microscopy sections. Nature Methods, 9(7):717-720.

Abstract

Anatomy of large biological specimens is often reconstructed from serially sectioned volumes imaged by high-resolution microscopy. We developed a method to reassemble a continuous volume from such large section series that explicitly minimizes artificial deformation by applying a global elastic constraint. We demonstrate our method on a series of transmission electron microscopy sections covering the entire 558-cell Caenorhabditis elegans embryo and a segment of the Drosophila melanogaster larval ventral nerve cord.

Abstract

Anatomy of large biological specimens is often reconstructed from serially sectioned volumes imaged by high-resolution microscopy. We developed a method to reassemble a continuous volume from such large section series that explicitly minimizes artificial deformation by applying a global elastic constraint. We demonstrate our method on a series of transmission electron microscopy sections covering the entire 558-cell Caenorhabditis elegans embryo and a segment of the Drosophila melanogaster larval ventral nerve cord.

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Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:07 Faculty of Science > Institute of Neuroinformatics
Dewey Decimal Classification:570 Life sciences; biology
Scopus Subject Areas:Life Sciences > Biotechnology
Life Sciences > Biochemistry
Life Sciences > Molecular Biology
Life Sciences > Cell Biology
Language:English
Date:July 2012
Deposited On:23 Nov 2016 10:21
Last Modified:26 Jan 2022 10:26
Publisher:Nature Publishing Group
ISSN:1548-7091
Funders:Swiss National Science Foundation
OA Status:Green
Publisher DOI:https://doi.org/10.1038/nmeth.2072
Official URL:http://www.nature.com/nmeth/journal/v9/n7/full/nmeth.2072.html
Project Information:
  • : FunderSNSF
  • : Grant ID
  • : Project TitleSwiss National Science Foundation