Evidence map›Paper›PMID 40401966›Full record

ArticleMicrobiology spectrum2025

A practical protocol for correlative confocal fluorescence and transmission electron microscopy characterization of extracellular vesicles.

Juan M Martínez-Andrade, Daniel Salgado-Bautista, Kendra Ramirez-Acosta, Ruben Darío Cadena-Nava, Meritxell Riquelme

Abstract read
In one paragraph

Article in Microbiology spectrum, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 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

5 authors.

Juan M Martínez-AndradeDepartment of Microbiology, Centro de Investigación Científica y Educación Superior de Ensenada (CICESE), Ensenada, Baja California, Mexico.ORCID 0000-0002-2166-6659
Daniel Salgado-BautistaDepartment of Microbiology, Centro de Investigación Científica y Educación Superior de Ensenada (CICESE), Ensenada, Baja California, Mexico.ORCID 0000-0002-5626-6305
Kendra Ramirez-AcostaCentro de Nanociencias y Nanotecnología, Universidad Nacional Autónoma de México, Ensenada, Baja California, Mexico.ORCID 0000-0003-2228-2435
Ruben Darío Cadena-NavaCentro de Nanociencias y Nanotecnología, Universidad Nacional Autónoma de México, Ensenada, Baja California, Mexico.ORCID 0000-0001-8428-6701
Meritxell RiquelmeDepartment of Microbiology, Centro de Investigación Científica y Educación Superior de Ensenada (CICESE), Ensenada, Baja California, Mexico.ORCID 0000-0002-2580-326X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Extracellular vesicles (EVs) have gained considerable attention in fungal biology research. However, imaging these membrane-bound particles presents challenges due to their nanoscopic size (typically <200 nm), which exceeds the resolution limit of conventional diffraction-limited laser scanning confocal microscopy (LSCM). While high-resolution techniques like transmission electron microscopy (TEM) offer superior spatial resolution, they are time-consuming, require specialized expertise, and are prone to artifacts that can interfere with accurate results. In this study, we propose a rapid method for confirming the vesicular nature of EVs using a correlative light and electron microscopy (CLEM) approach. EVs were isolated from culture filtrates of the model filamentous fungus

Indexed as

Extracellular VesiclesMicroscopy, Electron, TransmissionNeurospora crassaFluorescent DyesMicroscopy, ConfocalMicroscopy, FluorescenceFluorescent Dyescorrelative light and electron microscopyextracellular vesicleslaser scanning confocal microscopytransmission electron microscopy

Identifiers

PMID40401966
PMCPMC12211028

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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.