Evidence map›Paper›PMID 42194298›Full record

ArticleBioengineering (Basel, Switzerland)2026

An Improved SEM Preparation Workflow for Plasma Membrane Imaging in HepG2 and IM-9 Cells.

Laura Manin, Antonio Castelliti, Elena Stuppia, Filippo Laganà, Salvatore A Pullano, Marta Greco

Abstract read
In one paragraph

Article in Bioengineering (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Laura ManinDepartment of Health Sciences, Magna Graecia University of Catanzaro, 88100 Catanzaro, Italy.ORCID 0009-0002-9032-0202
Antonio CastellitiDepartment of Health Sciences, Magna Graecia University of Catanzaro, 88100 Catanzaro, Italy.ORCID 0009-0008-9193-3557
Elena StuppiaDepartment of Health Sciences, Magna Graecia University of Catanzaro, 88100 Catanzaro, Italy.ORCID 0009-0003-7576-5817
Filippo LaganàDepartment of Health Sciences, Magna Graecia University of Catanzaro, 88100 Catanzaro, Italy.ORCID 0000-0001-6846-1784
Salvatore A PullanoDepartment of Health Sciences, Magna Graecia University of Catanzaro, 88100 Catanzaro, Italy.ORCID 0000-0003-3391-1698
Marta GrecoDepartment of Health Sciences, Magna Graecia University of Catanzaro, 88100 Catanzaro, Italy.ORCID 0000-0003-4192-3891

Funding

Ministry of Health PNRR-POC-2022-12376842
6 · The paper itself

Abstract

Accurate visualization of the plasma membrane is essential for assessing morphological changes induced by experimental perturbations. Scanning electron microscopy (SEM) enables high-resolution imaging of cell surface architecture, but the fixation, dehydration, and drying steps critically affect membrane preservation. Here, we present an improved SEM preparation workflow for two cultured cell models with different growth phenotypes, HepG2 and IM-9, and evaluate the effects of fixation time and drying strategy on plasma membrane preservation. Among the tested conditions, a shorter glutaraldehyde fixation time (15 min) combined with stepwise ethanol-to-HMDS substitution provided the best overall preservation of membrane continuity, cell shape, and surface regularity. Morphometric analysis supported the qualitative SEM observations, and HMDS-processed samples also showed better structural stability during storage under the tested conditions. This workflow provides a simple, reproducible, and cost-effective strategy for SEM-based analysis of cell surface morphology in cultured cell models.

Indexed as

cell surface morphologydrying artefactsHMDSplasma membrane preservationscanning electron microscopystepwise ethanol-to-HMDS substitution

Identifiers

PMID42194298
PMCPMC13203902

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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.