Evidence map›Paper›PMID 41769058›Full record

ArticleBiomedical optics express2025

Visible enhanced stimulated Raman scattering microscopy via frequency-doubling of picosecond pulses.

Adrian Colazo, Kun Miao, Li-En Lin, Rahuljeet S Chadha, Chenxi Qian, Xiaotian Bi, Philip A Kocheril, Lu Wei

Abstract read
In one paragraph

Article in Biomedical optics express, 2025. 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

8 authors.

Adrian ColazoDivision of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, California 91125, USA.
Kun MiaoDivision of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, California 91125, USA.
Li-En LinDivision of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, California 91125, USA.
Rahuljeet S ChadhaDivision of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, California 91125, USA.ORCID https://orcid.org/0000-0002-3805-6144
Chenxi QianDivision of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, California 91125, USA.
Xiaotian BiDivision of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, California 91125, USA.
Philip A KocherilDivision of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, California 91125, USA.ORCID https://orcid.org/0000-0002-1265-5931
Lu WeiDivision of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, California 91125, USA.ORCID https://orcid.org/0000-0001-9170-2283

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We report visible-enhanced stimulated Raman scattering (VIS-SRS) microscopy by direct frequency-doubling of picosecond pulsed lasers. Compared to previous reports from femtosecond sources, our setup is greatly simplified by removing the need to perform spectral focusing and allows for quick wavelength tuning for sparse multi-channel imaging across a large spectral range. We report a signal enhancement of 3.2-fold for the C-H bond from decane, consistent with theoretical analysis, and up to 483-fold with resonance enhancement. We showcase a multi-channel imaging application in HeLa cells and demonstrate a spatial resolution down to 47 nm from 5xFAD mouse brain tissues coupled with Raman-tailored sample-expansion. Finally, we discuss the future applications and limitations of our picosecond-doubled VIS-SRS.

Identifiers

PMID41769058
PMCPMC12945490

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.