Pith. sign in

REVIEW 1 cited by

Fast Pixelated Detectors in Scanning Transmission Electron Microscopy. Part I: Data Acquisition, Live Processing and Storage

Not yet reviewed by Pith; the record is open.

Re-run · record.json Download PDF Read on arXiv ↗

This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.

SPECIMEN: schema-true, not a live event

T0 review · schema-true

One-sentence machine reading of the paper's core claim.

pith:XXXXXXXX · record.json · timestamp

arxiv 1911.11560 v2 pith:ZAJTDLAI submitted 2019-11-18 physics.ins-det cond-mat.mtrl-sci

Magnus Nord , Robert W. H. Webster , Kirsty A. Paton , Stephen McVitie , Damien McGrouther , Ian MacLaren , Gary W. Paterson This is my paper · ORCID
classification physics.ins-detcond-mat.mtrl-sci
keywords detectorselectrondatathemacquisitiondirectfastmicroscopy
verification ladder T0 review T1 audit T2 compute T3 formal

Signed reviews

No signed human review yet.

0 comments
read the original abstract

The use of fast pixelated detectors and direct electron detection technology is revolutionising many aspects of scanning transmission electron microscopy (STEM). The widespread adoption of these new technologies is impeded by the technical challenges associated with them. These include issues related to hardware control, and the acquisition, real-time processing and visualisation, and storage of data from such detectors. We discuss these problems and present software solutions for them, with a view to making the benefits of new detectors in the context of STEM more accessible. Throughout, we provide examples of the application of the technologies presented, using data from a Medipix3 direct electron detector. Most of our software is available under an open source licence, permitting transparency of the implemented algorithms, and allowing the community to freely use and further improve upon them.

Discussion (0). Continue with ORCID to comment.

Forward citations

Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Removing constraints of 4D-STEM with a framework for event-driven acquisition and processing

    physics.ins-det 2025-05 conditional novelty 6.0 of 10

    Event-driven 4D-STEM, processed without ever forming dense frames, runs live on consumer hardware and can shrink datasets by orders of magnitude in low-dose and large-scan regimes.

Pith tools