Evidence map›Paper›PMID 36601936›Full record

ArticleJournal of synchrotron radiation2023

TomocuPy - efficient GPU-based tomographic reconstruction with asynchronous data processing.

Viktor Nikitin

Open access · goldAbstract read
In one paragraph

Article in Journal of synchrotron radiation, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
5.0field-weighted citation impact, top 4% 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

19 citing papers in PubMed, 37 citations in OpenAlex.

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  7. Nano-laminography with a transmission X-ray microscope.Journal of synchrotron radiation · 2025
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  8. HoToPy: a toolbox for X-ray holo-tomography in Python.Journal of synchrotron radiation · 2025
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  17. Small-angle scattering tensor tomography algorithm for robust reconstruction of complex textures.Acta crystallographica. Section A, Foundations and advances · 2023
    Article
  18. 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

1 author at 1 institution in 1 country.

Viktor NikitinAdvanced Photon Source, Argonne National Laboratory, Lemont, IL 60439, USA.ORCID 0000-0001-9999-169X
Argonne National Laboratory · US

Funding

Laboratory Directed Research and Development, Argonne National Laboratory 2021-0173Laboratory Directed Research and Development, Argonne National Laboratory 2023-0104Laboratory Directed Research and Development, Argonne National Laboratory 2023-0108US Department of Energy, Office of Science DE-AC02-06CH11357
6 · The paper itself

Abstract

Fast 3D data analysis and steering of a tomographic experiment by changing environmental conditions or acquisition parameters require fast, close to real-time, 3D reconstruction of large data volumes. Here a performance-optimized TomocuPy package is presented as a GPU alternative to the commonly used central processing unit (CPU) based TomoPy package for tomographic reconstruction. TomocuPy utilizes modern hardware capabilities to organize a 3D asynchronous reconstruction involving parallel read/write operations with storage drives, CPU-GPU data transfers, and GPU computations. In the asynchronous reconstruction, all the operations are timely overlapped to almost fully hide all data management time. Since most cameras work with less than 16-bit digital output, the memory usage and processing speed are furthermore optimized by using 16-bit floating-point arithmetic. As a result, 3D reconstruction with TomocuPy became 20-30 times faster than its multi-threaded CPU equivalent. Full reconstruction (including read/write operations and methods initialization) of a 2048

Indexed as

Computer GraphicsSoftwareAlgorithmsImage Processing, Computer-Assistedasynchronous processingconveyor processingGPUNVMe SSDreconstructiontomography

Identifiers

PMID36601936
PMCPMC9814072
OpenAlexW4308755734

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.