ArticleChemical & biomedical imaging2024
Molecular Fingerprinting of Mouse Brain Using Ultrabroadband Coherent Anti-Stokes Raman Scattering (CARS) Microspectroscopy Empowered by Multivariate Curve Resolution-Alternating Least Squares (MCR-ALS).
Article in Chemical & biomedical imaging, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
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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.
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.
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Who cites it
3 citing papers in PubMed.
- The Next Frontier in Vibrational Imaging: Chemically Designed Raman Probes Pass the Spectral Barrier.JACS Au · 2026Review
- The Challenge of Measuring Exercise: Advancing Metrological Barriers in Wearable Sensing.JMIR mHealth and uHealth · 2025Review
- Unveiling the Invisible: Multiscale Molecular Insights through Raman Imaging.Chemical & biomedical imaging · 2025Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The Raman fingerprint spectral region provides abundant structural information on molecules. However, analyzing vibrational images within this region using coherent Raman imaging remains challenging due to the small Raman cross section and congested spectral features. In this study, we combined ultrabroadband coherent anti-Stokes Raman scattering (CARS) microspectroscopy across the spectral range of 500-4000 cm
Identifiers
What OpenQuestion holds
Registered trials
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.