Evidence map›Paper›PMID 41292953›Full record

ArticlebioRxiv : the preprint server for biology2025

Effects of biological fixation methods on stimulated Raman scattering microscopy signal.

Chiara Ceconello, Wuji Han, Bryce Manifold, Dario Polli, Aaron Streets

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. 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.

Chiara CeconelloDepartment of Bioengineering, University of California, Berkeley.ORCID 0000-0003-2194-7984
Wuji HanCenter for Computational Biology, University of California, Berkeley.ORCID 0009-0002-3949-3343
Bryce ManifoldDepartment of Bioengineering, University of California, Berkeley.ORCID 0000-0002-5281-8969
Dario PolliDepartment of Physics, Politecnico di Milano, Piazza Leonardo da Vinci 32, 20133 Milano, Italy.ORCID 0000-0002-6960-5708
Aaron StreetsDepartment of Bioengineering, University of California, Berkeley.ORCID 0000-0002-3909-8389

Funding

OPTICAL, FLUIDIC, AND MOLECULAR TECHNOLOGIES FOR SINGLE-CELL OMICSR35GM124916 · NIGMS · UNIVERSITY OF CALIFORNIA BERKELEY · PI Aaron Streets · 2017 to 2026
$3.4M
NIGMS NIH HHS R35 GM124916
6 · The paper itself

Abstract

Stimulated Raman Scattering (SRS) microscopy enables label-free imaging of cells and tissues in their native state with chemical specificity. However, there are often experimental advantages of chemical fixation of samples prior to imaging, which can introduce perturbations that may alter the native state of the samples, and possibly impact the SRS signal. In this study, we systematically characterize the effects of common fixatives (Paraformaldehyde, Formalin, Glutaraldehyde, Methanol, Ethanol) on the preservation of cellular integrity and molecular composition in a Hela cell model as observed by SRS microscopy. We demonstrate how the different fixatives can influence lipid and protein content, and overall cell morphology, with significant implications for the accuracy of quantitative SRS microscopy. Our findings indicate that Paraformaldehyde (PFA) imposes minimal disruption to cellular and molecular states compared to the other fixatives tested, and suggest Glutaraldehyde (GA) as a suitable alternative for SRS imaging. This study provides insights for the choice of the optimal sample preparation, enabling more reliable SRS-based studies for the evaluation of cellular processes and disease mechanisms where fixation is used.

Identifiers

PMID41292953
PMCPMC12642476

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

None linked

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.