@article{
 title = {TOM software toolbox: acquisition and analysis for electron tomography.},
 type = {article},
 year = {2005},
 identifiers = {[object Object]},
 keywords = {Algorithms,Humans,Image Processing, Computer-Assisted,Software,Tomography,Tomography: instrumentation,Tomography: methods,User-Computer Interface},
 pages = {227-34},
 volume = {149},
 websites = {http://www.ncbi.nlm.nih.gov/pubmed/15721576},
 month = {3},
 id = {75eef08d-3a1e-3798-89d2-8cca5c8f87b9},
 created = {2011-07-28T18:39:52.000Z},
 accessed = {2011-07-28},
 file_attached = {true},
 profile_id = {219e8e76-b8c8-3aa5-898d-2153cb61efd4},
 group_id = {cd79d359-3d3b-38cd-822c-b775fd5f31ce},
 last_modified = {2017-03-14T11:02:08.776Z},
 read = {false},
 starred = {false},
 authored = {false},
 confirmed = {true},
 hidden = {false},
 citation_key = {Nickell2005},
 private_publication = {false},
 abstract = {Automated data acquisition procedures have changed the perspectives of electron tomography (ET) in a profound manner. Elaborate data acquisition schemes with autotuning functions minimize exposure of the specimen to the electron beam and sophisticated image analysis routines retrieve a maximum of information from noisy data sets. "TOM software toolbox" integrates established algorithms and new concepts tailored to the special needs of low dose ET. It provides a user-friendly unified platform for all processing steps: acquisition, alignment, reconstruction, and analysis. Designed as a collection of computational procedures it is a complete software solution within a highly flexible framework. TOM represents a new way of working with the electron microscope and can serve as the basis for future high-throughput applications.},
 bibtype = {article},
 author = {Nickell, Stephan and Förster, Friedrich and Linaroudis, Alexandros and Net, William Del and Beck, Florian and Hegerl, Reiner and Baumeister, Wolfgang and Plitzko, Jürgen M},
 journal = {Journal of structural biology},
 number = {3}
}

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