ReviewCurrent opinion in chemical biology2016
Molecular imaging with CARS micro-spectroscopy.
Review in Current opinion in chemical biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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.
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.
Who cites it
11 citing papers in PubMed.
- High-throughput spontaneous Raman imaging of biological specimens with water background reduction.Biomedical optics express · 2026Article
- Advances in Probing Amyloid Heterogeneity Using Vibrational Spectroscopy and Imaging.The journal of physical chemistry. B · 2025Review
- Exploring liquid-liquid phase separation in vitro and in vivo using multimodal nonlinear optical imaging.Analytical sciences : the international journal of the Japan Society for Analytical Chemistry · 2025Article
- Raman Spectroscopy in the Characterization of Food Carotenoids: Challenges and Prospects.Foods (Basel, Switzerland) · 2025Review
- Molecular Fingerprinting of Mouse Brain Using Ultrabroadband Coherent Anti-Stokes Raman Scattering (CARS) Microspectroscopy Empowered by Multivariate Curve Resolution-Alternating Least Squares (MCR-ALS).Chemical & biomedical imaging · 2024Article
- Single-cell measurement of microbial growth rate with Raman microspectroscopy.FEMS microbiology ecology · 2024Article
- Coherent anti-Stokes Raman scattering imaging of microcalcifications associated with breast cancer.The Analyst · 2021Article
- Next-generation physiology approaches to study microbiome function at single cell level.Nature reviews. Microbiology · 2020Review
- Raman micro-spectroscopy for accurate identification of primary human bronchial epithelial cells.Scientific reports · 2018Article
- Vibrational Spectroscopy for Imaging Single Microbial Cells in Complex Biological Samples.Frontiers in microbiology · 2017Review
- Label-free in situ imaging of oil body dynamics and chemistry in germination.Journal of the Royal Society, Interface · 2016Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
Abstract
After more than a decade of instrument and method development, broadband coherent anti-Stokes Raman scattering (CARS) micro-spectroscopy is beginning to live up to its potential as a label-free imaging modality that can rapidly generate high resolution images with full vibrational spectra at each image pixel. Presently these instruments are able to obtain quantitative, spatially resolved information on lipids from the CH stretch region of the Raman spectrum, and some instrument designs facilitate acquisition of high quality fingerprint spectra, containing information on a host of molecular species including structural proteins, nucleotides, and metabolites. While most of the existing instruments are research projects themselves, it appears that the relevant technologies are maturing so that commercially available instruments may not be too far in the future, making this remarkable imaging modality widely available.
Indexed as
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.