Evidence map›Paper›PMID 37489430›Full record

ArticleMethods and protocols2023

Precise Analysis of Nanoparticle Size Distribution in TEM Image.

Shan Zhang, Chao Wang

Abstract read
In one paragraph

Article in Methods and protocols, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

  1. Article
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  5. Green Synthesis of Copper Oxide Nanoparticles UsingNanomaterials (Basel, Switzerland) · 2026
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  15. Review
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  18. Biogenic synthesis of silver nanoparticles usingBiotechnology notes (Amsterdam, Netherlands) · 2025
    Article
  19. Article
  20. CMolecules (Basel, Switzerland) · 2024
    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

2 authors.

Shan ZhangSchool of Materials Science and Engineering, Institute of Materials Science and Devices, Suzhou University of Science and Technology, 99 Xuefu Road, Suzhou 215011, China.
Chao WangThe Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, 733 N. Broadway, Baltimore, MD 21218, USA.ORCID 0000-0003-3137-1632

Funding

Natural Science Foundation of Jiangsu Province BK20220641Natural Science Foundation of Suzhou University of Science and Technology XKZ2021001Natural Science Research Foundation of Jiangsu Higher Education Institutions of China 21KJB150032Open Funds of the State Key Laboratory of Electroanalytical Chemistry SKLEAC202206Ph.D. Innovation and Entrepreneurship Program of Jiangsu Province JSSCBS20210735
6 · The paper itself

Abstract

As an essential characterization, size distribution is an important indicator for the synthesis, optimization, and application of nanoparticles. Electron microscopes such as transmission electron microscopes (TEMs) are commonly utilized to collect size information on nanoparticles. However, the current popular statistical method of manually measuring large particles one by one, using a ruler tool in the corresponding image analysis software is time-consuming and can introduce manual errors. Moreover, it is difficult to determine the measurement interval for irregularly shaped nanoparticles. Therefore, it is necessary to use an efficient and standard method to perform size distribution analysis of nanoparticles. In this work, we use basic

Indexed as

ImageJnanoparticlesize distributiontransmission electron microscope

Identifiers

PMID37489430
PMCPMC10366915

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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.