Evidence map›Paper›PMID 39172093›Full record

ArticleJournal of synchrotron radiation2024

A distributed software system for integrating data-intensive imaging methods in a hard X-ray nanoprobe beamline at the SSRF.

Peicheng Zhang, Zhisen Jiang, Yan He, Aiguo Li

Abstract read
In one paragraph

Article in Journal of synchrotron radiation, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Peicheng ZhangShanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai 201210, People's Republic of China.
Zhisen JiangShanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai 201210, People's Republic of China.ORCID 0000-0002-6700-8176
Yan HeShanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai 201210, People's Republic of China.
Aiguo LiShanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai 201210, People's Republic of China.

Funding

National Key Research and Development Program of China 2021YFA1601000National Natural Science foundation of China 12305376Science and Technology Commission of Shanghai Municipality 23YF1453600
6 · The paper itself

Abstract

The development of hard X-ray nanoprobe techniques has given rise to a number of experimental methods, like nano-XAS, nano-XRD, nano-XRF, ptychography and tomography. Each method has its own unique data processing algorithms. With the increase in data acquisition rate, the large amount of generated data is now a big challenge to these algorithms. In this work, an intuitive, user-friendly software system is introduced to integrate and manage these algorithms; by taking advantage of the loosely coupled, component-based design approach of the system, the data processing speed of the imaging algorithm is enhanced through optimization of the parallelism efficiency. This study provides meaningful solutions to tackle complexity challenges faced in synchrotron data processing.

Indexed as

distributed software systemparallel computingptychographysynchrotron radiation big data

Identifiers

PMID39172093
PMCPMC11371055

What OpenQuestion holds

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Registered trials

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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.