Result: Dragonfly: an implementation of the expand–maximize–compress algorithm for single-particle imaging
Journal of applied crystallography 49, 1320-1335 (2016). doi:10.1107/S1600576716008165
https://pubmed.ncbi.nlm.nih.gov/27504078
https://europepmc.org/article/MED/27504078
https://journals.iucr.org/j/issues/2016/04/00/zf5002/
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4970497/
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4970497/
https://journals.iucr.org/j/issues/2016/04/00/zf5002/zf5002.pdf
https://scripts.iucr.org/cgi-bin/paper?S1600576716008165
https://bib-pubdb1.desy.de/record/300715
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.