Evidence map›Paper›PMID 38698090›Full record

ArticleScientific reports2024

An advanced fast method for the evaluation of multiple immunolabelling using gold nanoparticles based on low-energy STEM.

František Kitzberger, Shun-Min Yang, Jiří Týč, Tomáš Bílý, Jana Nebesářová

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

František KitzbergerLaboratory of Electron Microscopy, Institute of Parasitology, Biology Centre CAS, 370 05, České Budějovice, Czech Republic. Frantisek.kitzberger@paru.cas.cz.
Shun-Min YangLaboratory of Evolutionary Protistology, Institute of Parasitology, Biology Centre CAS, 370 05, České Budějovice, Czech Republic.
Jiří TýčLaboratory of Electron Microscopy, Institute of Parasitology, Biology Centre CAS, 370 05, České Budějovice, Czech Republic.
Tomáš BílýLaboratory of Electron Microscopy, Institute of Parasitology, Biology Centre CAS, 370 05, České Budějovice, Czech Republic.
Jana NebesářováLaboratory of Electron Microscopy, Institute of Parasitology, Biology Centre CAS, 370 05, České Budějovice, Czech Republic. nebe@paru.cas.cz.

Funding

Czech-BioImaging LM2018129Ministerstvo Školství, Mládeže a Tělovýchovy OP VVV CZ.02.1.01/0.0/0.0/16_013/0001775Technologická Agentura České Republiky TN0100008
6 · The paper itself

Abstract

We present a powerful method for the simultaneous detection of Au nanoparticles located on both sides of ultrathin sections. The method employs a high-resolution scanning electron microscope (HRSEM) operating in scanning transmission electron microscopy (STEM) mode in combination with the detection of backscattered electrons (BSE). The images are recorded simultaneously during STEM and BSE imaging at the precisely selected accelerating voltage. Under proper imaging conditions, the positions of Au nanoparticles on the top or bottom sides can be clearly differentiated, hence showing this method to be suitable for multiple immunolabelling using Au nanoparticles (NPs) as markers. The difference between the upper and lower Au NPs is so large that it is possible to apply common software tools (such as ImageJ) to enable their automatic differentiation. The effects of the section thickness, detector settings and accelerating voltage on the resulting image are shown. Our experimental results correspond to the results modelled in silico by Monte Carlo (MC) simulations.

Indexed as

Backscatter electron imagingHigh resolution scanning electron microscopy (HRSEM)ImmunolabellingMonte Carlo simulationsScanning transmission electron microscopySimultaneous detection of multiple immunogold markers

Identifiers

PMID38698090
PMCPMC11065996

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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.