6533b856fe1ef96bd12b2934

RESEARCH PRODUCT

Towards automated diffraction tomography. Part II--Cell parameter determination.

Ute KolbTatiana GorelikM.t. Otten

subject

DiffractionMaterials sciencebusiness.industryAtomic and Molecular Physics and OpticsElectronic Optical and Magnetic MaterialsDiffraction tomographyData setReciprocal latticeOpticsElectron diffractionPrecession electron diffractionTomographybusinessInstrumentationData reduction

description

Automated diffraction tomography (ADT) allows the collection of three-dimensional (3d) diffraction data sets from crystals down to a size of only few nanometres. Imaging is done in STEM mode, and diffraction data are collected with quasi-parallel beam nanoelectron diffraction (NED). Here, we present a set of developed processing steps necessary for automatic unit-cell parameter determination from the collected 3d diffraction data. Cell parameter determination is done via extraction of peak positions from a recorded data set (called the data reduction path) followed by subsequent cluster analysis of difference vectors. The procedure of lattice parameter determination is presented in detail for a beam-sensitive organic material. Independently, we demonstrate a potential (called the full integration path) based on 3d reconstruction of the reciprocal space visualising special structural features of materials such as partial disorder. Furthermore, we describe new features implemented into the acquisition part.

10.1016/j.ultramic.2007.12.002https://pubmed.ncbi.nlm.nih.gov/18282662