Evidence map›Paper›PMID 34684965›Full record

ArticleNanomaterials (Basel, Switzerland)2021

Monitored Tomographic Reconstruction-An Advanced Tool to Study the 3D Morphology of Nanomaterials.

Konstantin Bulatov, Marina Chukalina, Kristina Kutukova, Vlad Kohan, Anastasia Ingacheva, Alexey Buzmakov, Vladimir V Arlazarov, Ehrenfried Zschech

Open access · goldAbstract read
In one paragraph

Article in Nanomaterials (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.1field-weighted citation impact, top 26% 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

2 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. 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

8 authors at 3 institutions in 2 countries.

Konstantin BulatovFederal Research Center "Computer Science and Control" of Russian Academy of Sciences, 117312 Moscow, Russia.
Marina ChukalinaSmart Engines Service LLC, 117312 Moscow, Russia.ORCID 0000-0002-1410-5175
Kristina KutukovaFraunhofer Institute for Ceramic Technologies and Systems, 01109 Dresden, Germany.
Vlad KohanSmart Engines Service LLC, 117312 Moscow, Russia.
Anastasia IngachevaSmart Engines Service LLC, 117312 Moscow, Russia.
Alexey BuzmakovSmart Engines Service LLC, 117312 Moscow, Russia.
Vladimir V ArlazarovFederal Research Center "Computer Science and Control" of Russian Academy of Sciences, 117312 Moscow, Russia.
Ehrenfried ZschechDeepXscan GmbH, 01109 Dresden, Germany.
Russian Academy of Sciences · RUInstitute for Information Transmission Problems · RUFraunhofer Institute for Ceramic Technologies and Systems · DE

Funding

Russian Foundation for Basic Research 18-29-26027Russian Foundation for Basic Research 18-29-26036
6 · The paper itself

Abstract

Detailed and accurate three-dimensional (3D) information about the morphology of hierarchically structured materials is derived from multi-scale X-ray computed tomography (XCT) and subsequent 3D data reconstruction. High-resolution X-ray microscopy and nano-XCT are suitable techniques to nondestructively study nanomaterials, including porous or skeleton materials. However, laboratory nano-XCT studies are very time-consuming. To reduce the time-to-data by more than an order of magnitude, we propose taking advantage of a monitored tomographic reconstruction. The benefit of this new protocol for 3D imaging is that the data acquisition for each projection is interspersed by image reconstruction. We demonstrate this new approach for nano-XCT data of a novel transition-metal-based materials system: MoNi

Indexed as

3D morphologyhierarchical structuresmonitored reconstructionnano X-ray computed tomographyquality metricsstopping ruletime reducing

Identifiers

PMID34684965
PMCPMC8538887
OpenAlexW3203316719

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.