Result: Dragonfly: an implementation of the expand–maximize–compress algorithm for single-particle imaging

Title:
Dragonfly: an implementation of the expand–maximize–compress algorithm for single-particle imaging
Contributors:
DEPT OF PHYSICS
Source:
J Appl Crystallogr
Journal of applied crystallography 49, 1320-1335 (2016). doi:10.1107/S1600576716008165
Publisher Information:
International Union of Crystallography (IUCr), 2016.
Publication Year:
2016
Document Type:
Academic journal Article<br />Other literature type
ISSN:
1600-5767
DOI:
10.1107/s1600576716008165
Rights:
CC BY
Accession Number:
edsair.doi.dedup.....f3fb71b64e1cda2d7f0f106716f85ec4
Database:
OpenAIRE

Further Information

Single-particle imaging (SPI) with X-ray free-electron lasers has the potential to change fundamentally how biomacromolecules are imaged. The structure would be derived from millions of diffraction patterns, each from a different copy of the macromolecule before it is torn apart by radiation damage. The challenges posed by the resultant data stream are staggering: millions of incomplete, noisy and un-oriented patterns have to be computationally assembled into a three-dimensional intensity map and then phase reconstructed. In this paper, theDragonflysoftware package is described, based on a parallel implementation of the expand–maximize–compress reconstruction algorithm that is well suited for this task. Auxiliary modules to simulate SPI data streams are also included to assess the feasibility of proposed SPI experiments at the Linac Coherent Light Source, Stanford, California, USA.