LiberTEM/LiberTEM: 0.5.1

Clausen, Alexander; Weber, Dieter; Ruzaeva, Karina; Migunov, Vadim; Baburajan, Anand; Bahuleyan, Abijith; Caron, Jan; Chandra, Rahul; Dey, Shankhadeep; Halder, Sayandip; Levin, Benjamin; Nord, Magnus; Ophus, Colin; Peter, Simon; van, Jay Schyndel; Shin, Jaeweon; Sunku, Sai; Müller‐Caspary, Knut; Dunin‐Borkowski, Rafal E.

doi:10.5281/zenodo.3982290

Cited by 2 publications

(2 citation statements)

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“…Hence these processes could easily run in parallel meaning that routine orientation mapping of single phase materials with NBED could become automated like electron backscatter diffraction (EBSD) in the scan-ning electron microscope. A prototype along these lines is being worked out by integrating with the LiberTEM library [32,33]. For the extremely fast direct electron detectors, such as the EMPAD detector, the code would not be fast enough to perform real time indexing.…”

Section: Discussionmentioning

confidence: 99%

Free, flexible and fast: orientation mapping using the multi-core and GPU-accelerated template matching capabilities in the python-based open source 4D-STEM analysis toolbox Pyxem

Cautaerts¹,

Crout²,

Ånes³

et al. 2021

Preprint

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This work presents the new template matching capabilities implemented inPyxem, an open source Python library for analyzing four-dimensional scanning transmission electron microscopy (4D-STEM) data. Template matching is a brute force approach for deriving local crystal orientations. It works by comparing a library of simulated diffraction patterns to experimental patterns collected with nano-beam and precession electron diffraction (NBED and PED). This is a computationally demanding task, therefore the implementation combines efficiency and scalability by utilizing multiple CPU cores or a graphical processing unit (GPU). The code is built on top of the scientific python ecosystem, and is designed to support custom and reproducible workflows that combine the image processing, template library generation, indexation and visualisation all in one environment. The tools are agnostic to file size and format, which is significant in light of the increased adoption of pixelated detectors from different manufacturers. This paper details the implementation, validation, and benchmarking results of the method. The method is illustrated by calculating orientation maps of nanocrystalline materials and precipitates embedded in a crystalline matrix. The combination

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Section: Discussionmentioning

confidence: 99%

Free, flexible and fast: orientation mapping using the multi-core and GPU-accelerated template matching capabilities in the python-based open source 4D-STEM analysis toolbox Pyxem

Cautaerts¹,

Crout²,

Ånes³

et al. 2021

Preprint

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show abstract

“…We used LiberTEM (Clausen et al, 2020a) as a data processing framework since it is optimized for MapReduce-like approaches and designed with live data processing capabilities in mind (Clausen et al, 2020b). LiberTEM user-defined functions (UDFs) provide the application programming interface (API) to e iciently implement operations that follow the described pa ern: A method to process a stack of frames that is called repeatedly, task data to store constant data such as the sparse matrix for the double overlaps, result bu ers of arbitrary type and shape, and user-defined merging operations to generate a result of arbitrary complexity from partial results.…”

Section: Live Imagingmentioning

confidence: 99%

Live processing of momentum-resolved STEM data for first moment imaging and ptychography

Strauch,

Weber,

Clausen

et al. 2021

Preprint

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A reformulated implementation of single-sideband ptychography enables analysis and display of live detector data streams in 4D scanning transmission electron microscopy (STEM) using the LiberTEM open-source platform. This is combined with live first moment and further virtual STEM detector analysis. Processing of both real experimental and simulated data shows the characteristics of this method when data is processed progressively, as opposed to the usual o line processing of a complete dataset. In particular, the single side band method is compared to other techniques such as the enhanced ptychographic engine in order to ascertain its capability for structural imaging at increased specimen thickness.alitatively interpretable live results are obtained also if the sample is moved, or magnification is changed during the analysis. This allows live optimization of instrument as well as specimen parameters during the analysis. The methodology is especially expected to improve contrast-and dose-e icient in-situ imaging of weakly sca ering specimens, where fast live feedback during the experiment is required.

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LiberTEM/LiberTEM: 0.5.1

Cited by 2 publications

References 0 publications

Free, flexible and fast: orientation mapping using the multi-core and GPU-accelerated template matching capabilities in the python-based open source 4D-STEM analysis toolbox Pyxem

Free, flexible and fast: orientation mapping using the multi-core and GPU-accelerated template matching capabilities in the python-based open source 4D-STEM analysis toolbox Pyxem

Live processing of momentum-resolved STEM data for first moment imaging and ptychography

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