Evidence map›Paper›PMID 35511014›Full record

ArticleJournal of synchrotron radiation2022

Real-time streaming tomographic reconstruction with on-demand data capturing and 3D zooming to regions of interest.

Viktor Nikitin, Aniket Tekawade, Anton Duchkov, Pavel Shevchenko, Francesco De Carlo

Open access · goldAbstract read
In one paragraph

Article in Journal of synchrotron radiation, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
10.1field-weighted citation impact, top 1% of its field
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

13 citing papers in PubMed, 39 citations in OpenAlex.

  1. Article
  2. Article
  3. Nano-laminography with a transmission X-ray microscope.Journal of synchrotron radiation · 2025
    Article
  4. Review
  5. PvaPy streaming framework for real-time data processing.Journal of synchrotron radiation · 2025
    Article
  6. Article
  7. Article
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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

5 authors at 2 institutions in 2 countries.

Viktor NikitinAdvanced Photon Source, Argonne National Laboratory, Lemont, IL 60439, USA.ORCID 0000-0001-9999-169X
Aniket TekawadeData Science and Learning Division, Argonne National Laboratory, Lemont, IL 60439, USA.
Anton DuchkovInstitute of Petroleum Geology and Geophysics SB RAS, 630090 Novosibirsk, Russia.ORCID 0000-0002-7876-6685
Pavel ShevchenkoAdvanced Photon Source, Argonne National Laboratory, Lemont, IL 60439, USA.
Francesco De CarloAdvanced Photon Source, Argonne National Laboratory, Lemont, IL 60439, USA.ORCID 0000-0003-1068-7785
Argonne National Laboratory · USNovosibirsk State University · RU

Funding

Argonne National Laboratory DE-AC02-06CH11357Russian Science Foundation FWZZ-2022-0017
6 · The paper itself

Abstract

Complex dynamic tomographic experiments at brilliant X-ray light sources require real-time feedback on the sample changes with respect to environmental conditions, selecting representative regions of interest for high-resolution scanning, and on-demand data saving mechanisms for storing only relevant projections acquired by fast area detectors and reducing data volumes. Here the implementation details of a 3D real-time imaging monitoring instrument, with zooming to a volume of interest with easy-to-use visualization via ImageJ, a tool familiar to most beamline users, is presented. The instrument relies on optimized data flow between the detector and processing machines and is implemented on commodity computers. The instrument has been developed at beamline 2-BM of the Advanced Photon Source, where the automatic lens changing mechanism for zooming is implemented with an Optique Peter microscope. Performance tests demonstrate the ability to process more than 3 GB of projection data per second and generate real-time 3D zooming with different magnification. These new capabilities are essential for new APS Upgrade instruments such as the projection microscope under development at beamline 32-ID. The efficacy of the proposed instrument was demonstrated during an in situ tomographic experiment on ice and gas hydrate formation in porous samples.

Indexed as

3D zoomingmicro-tomographymulti-scale tomographyreal-time reconstructionstreaming imaging

Identifiers

PMID35511014
PMCPMC9070713
OpenAlexW4224222597

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.