Evidence map›Paper›PMID 41431443›Full record

ArticleIUCrJ2026

AutoLEI: An XDS-based pipeline with graphical user interface for automated real-time and offline batch 3D ED/microED data processing.

Lei Wang, Yinlin Chen, Emma Scaletti Hutchinson, Pål Stenmark, Gerhard Hofer, Hongyi Xu, Xiaodong Zou

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in IUCrJ, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Lei WangDepartment of Chemistry, Stockholm University, 106 91 Stockholm, Sweden.
Yinlin ChenDepartment of Chemistry, Stockholm University, 106 91 Stockholm, Sweden.ORCID 0000-0001-7878-2063
Emma Scaletti HutchinsonDepartment of Biochemistry and Biophysics, Stockholm University, 106 91 Stockholm, Sweden.
Pål StenmarkDepartment of Biochemistry and Biophysics, Stockholm University, 106 91 Stockholm, Sweden.ORCID 0000-0003-4777-3417
Gerhard HoferDepartment of Chemistry, Stockholm University, 106 91 Stockholm, Sweden.ORCID 0000-0002-9248-6989
Hongyi XuDepartment of Chemistry, Stockholm University, 106 91 Stockholm, Sweden.
Xiaodong ZouDepartment of Chemistry, Stockholm University, 106 91 Stockholm, Sweden.ORCID 0000-0001-6748-6656

Funding

Cancerfonden 24-3848-PjH2020 Marie Sklodowska-Curie Actions 956099Knut och Alice Wallenbergs Stiftelse 2019.0124Vetenskapsraådet 2019-00815Vetenskapsraådet 2022-03596Vetenskapsraådet 2022-03681
6 · The paper itself

Abstract

Three-dimensional electron diffraction (3D ED), also known as microcrystal electron diffraction (microED), is an emerging method for determining structures from submicron-sized crystals. With the development of rapid and convenient data collection protocols, acquiring dozens of datasets in a single 3D ED/microED session has become routine. A fast and automated workflow for processing, scaling and merging a large number of 3D ED/microED datasets can significantly accelerate the structure determination process. Herein, we present an XDS-based pipeline with a graphical user interface for automated real-time and offline batch 3D ED/microED data processing (AutoLEI). We demonstrate the functionality and applications of the pipeline through four examples, using both offline and real-time data processing capabilities. The samples include small organic molecules, metal-organic frameworks (MOFs) and proteins, showcasing the versatility and efficiency of AutoLEI in various applications.

Indexed as

3D ED3D electron diffractionbeam-sensitive materialsdata analysiselectron crystallographymicrocrystal electron diffractionmicroEDoffline batch data processingreal-time data processing

Identifiers

PMID41431443
PMCPMC12809502

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.