Evidence map›Paper›PMID 40257323›Full record

ArticleThe Review of scientific instruments2025

Broadband coherent anti-Stokes Raman scattering (BCARS) microscopy for rapid, label-free biological imaging.

Jessica Z Dixon, Wei-Wen Chen, Haoyu Xu, Xavier Audier, Marcus T Cicerone

Abstract read
In one paragraph

Article in The Review of scientific instruments, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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.

Jessica Z DixonDepartment of Chemistry and Biochemistry, Georgia Institute of Technology, 950 Atlantic Drive, Atlanta, Georgia 30332, USA.ORCID 0000-0001-6781-2597
Wei-Wen ChenDepartment of Chemistry and Biochemistry, Georgia Institute of Technology, 950 Atlantic Drive, Atlanta, Georgia 30332, USA.ORCID 0000-0003-2234-5686
Haoyu XuDepartment of Biomedical Engineering, Georgia Institute of Technology, 950 Atlantic Drive, Atlanta, Georgia 30332, USA.ORCID 0000-0002-0954-0834
Xavier AudierDepartment of Chemistry and Biochemistry, Georgia Institute of Technology, 950 Atlantic Drive, Atlanta, Georgia 30332, USA.ORCID 0000-0003-2178-6762
Marcus T CiceroneDepartment of Chemistry and Biochemistry, Georgia Institute of Technology, 950 Atlantic Drive, Atlanta, Georgia 30332, USA.ORCID 0000-0002-2718-6533

Funding

Label-Free Cell-Resolved Metabolomics for Tumor MicroscopyR21CA240214 · NCI · GEORGIA INSTITUTE OF TECHNOLOGY · PI CICERONE, MARCUS T · 2020 to 2022
$583k
NCI NIH HHS R21 CA240214
6 · The paper itself

Abstract

Broadband coherent anti-Stokes Raman scattering (BCARS) microscopy is a label-free imaging approach that provides detailed chemical information at high spatial resolution in a sample through nonlinear, coherent excitation of molecular vibrations and detection of Raman spectra. While its utility for biological imaging has been demonstrated, many aspects of this technique must mature before it can be widely adopted. One of the areas of required improvement is imaging speed-most BCARS implementations involve sample rastering, which limits imaging speed. Beam scanning can provide faster BCARS imaging but presents some unique challenges. Here, we describe a beam-scanning BCARS microscopy system that improves spatial resolution twofold and imaging speed by fivefold over a previous beam-scanning implementation. These enhancements were enabled by an improvement in supercontinuum power and the use of a sCMOS camera for its high data transfer rate and low read noise. Implementation of the sCMOS camera required correction for the significant pixel-to-pixel background and photon response nonuniformity. We report on the method that we implemented for calibrating and correcting the pixel-to-pixel differences in sCMOS camera noise.

Indexed as

MicroscopySpectrum Analysis, RamanTime Factors

Identifiers

PMID40257323
PMCPMC12021446

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.