Evidence map›Paper›PMID 36613905›Full record

ArticleInternational journal of molecular sciences2022

A Simple Protocol for Sample Preparation for Scanning Electron Microscopic Imaging Allows Quick Screening of Nanomaterials Adhering to Cell Surface.

Anca Emanuela Minuti, Luminita Labusca, Dumitru-Daniel Herea, George Stoian, Horia Chiriac, Nicoleta Lupu

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

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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

6 authors.

Anca Emanuela MinutiNational Institute of Research and Development for Technical Physics, 700050 Iasi, Romania.
Luminita LabuscaNational Institute of Research and Development for Technical Physics, 700050 Iasi, Romania.ORCID 0000-0001-9635-6893
Dumitru-Daniel HereaNational Institute of Research and Development for Technical Physics, 700050 Iasi, Romania.ORCID 0000-0002-8455-8380
George StoianNational Institute of Research and Development for Technical Physics, 700050 Iasi, Romania.ORCID 0000-0002-5908-5999
Horia ChiriacNational Institute of Research and Development for Technical Physics, 700050 Iasi, Romania.
Nicoleta LupuNational Institute of Research and Development for Technical Physics, 700050 Iasi, Romania.ORCID 0000-0003-2188-8187

Funding

Unitatea Executiva Pentru Finantarea Invatamantului Superior a Cercetarii Dezvoltarii si Inovarii PCE20/2021 (PN-III-P4-ID-PCE-2020-2381).
6 · The paper itself

Abstract

Preparing biological specimens for scanning electron microscopy (SEM) can be difficult to implement, as it requires specialized equipment and materials as well as the training of dedicated personnel. Moreover, the procedure often results in damage to the samples to be analyzed. This work presents a protocol for the preparation of biological samples to evaluate the adherence of nanomaterials on the cell surface using SEM. To this end, we used silicon wafers as a substrate to grow cells and replaced difficult steps such as the critical point drying of the samples in order to make the method quicker and easier to perform. The new protocol was tested using two different types of cells, i.e., human osteosarcoma cells and adipose-derived mesenchymal stem cells, and it proved that it can grossly preserve cell integrity in order to be used to estimate nanomaterials' interaction with cell surfaces.

Indexed as

ElectronsNanostructuresCell MembraneHumansMicroscopy, Electron, ScanningSpecimen Handlingcell samplesmagnetic nanoparticlesnanowiresSEM imaging

Identifiers

PMID36613905
PMCPMC9820490

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.