The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Label‐Free Molecular Imaging of Biological Cells and Tissues by Linear and Nonlinear Raman Spectroscopic Approaches
Abstract
Raman spectroscopy is an emerging technique in bioanalysis and imaging of biomaterials owing to its unique capability of generating spectroscopic fingerprints. Imaging cells and tissues by Raman microspectroscopy represents a nondestructive and label‐free approach. All components of cells or tissues contribute to the Raman signals, giving rise to complex spectral signatures. Resonance Raman scattering and surface‐enhanced Raman scattering can be used to enhance the signals and reduce the spectral complexity. Raman‐active labels can be introduced to increase specificity and multimodality. In addition, nonlinear coherent Raman scattering methods offer higher sensitivities, which enable the rapid imaging of larger sampling areas. Finally, fiber‐based imaging techniques pave the way towards in vivo applications of Raman spectroscopy. This Review summarizes the basic principles behind medical Raman imaging and its progress since 2012.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
The elements of statistical learning: Data mining, inference, and prediction
Franklin, J. (2005) · The Mathematical Intelligencer · doi:10.1007/bf02985802 · Cited by 1,400
Review of multidimensional data processing approaches for Raman and infrared spectroscopy
Gautam, R., Vanga, S., Ariese, F., & Umapathy, S. (2015) · EPJ Techniques and Instrumentation · doi:10.1140/epjti/s40485-015-0018-6 · Cited by 696
Spectral pre and post processing for infrared and Raman spectroscopy of biological tissues and cells
Byrne, H. J., Knief, P., Keating, M. E., & Bonnier, F. (2016) · Chemical Society Reviews · doi:10.1039/c5cs00440c · Cited by 213
A small animal Raman instrument for rapid, wide-area, spectroscopic imaging
Bohndiek, S. E., Wagadarikar, A., Zavaleta, C. L., Van de Sompel, D., Garai, E., Jokerst, J. V., Yazdanfar, S., & Gambhir, S. S. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1301379110 · Cited by 133
Darvin, M. E., Fluhr, J. W., Schanzer, S., Richter, H., Patzelt, A., Meinke, M. C., Zastrow, L., Golz, K., Doucet, O., Sterry, W., et al. (2011) · Journal of Dermatological Science · doi:10.1016/j.jdermsci.2011.06.009 · Cited by 57
Cited by
Cordero, E., Korinth, F., Stiebing, C., Krafft, C., Schie, I., & Popp, J. (2017) · Sensors · doi:10.3390/s17081724 · Cited by 58
Self-citationKorinth, F., Schmälzlin, E., Stiebing, C., Urrutia, T., Micheva, G., Sandin, C., Müller, A., Maiwald, M., Sumpf, B., Krafft, C., et al. (2020) · Sensors · doi:10.3390/s20236723 · Cited by 13
Self-citation
Metadata
- Authors
- Krafft, C., Schmitt, M., Schie, I. W., Cialla‐May, D., Matthäus, C., Bocklitz, T., & Popp, J.
- Venue
- Angewandte Chemie International Edition
- Publisher
- Wiley
- Published
- 2017-03-31
- Volume
- 56
- Issue
- 16
- Pages
- 4392-4430
- ISSN
- 1433-7851 (ISSN-L)
- 1521-3773
- OpenAlex
- W2556890544
- Cited by
- 234
- References
- 5
- FWCI
- 13.37
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Label‐Free Molecular Imaging of Biological Cells and Tissues by Linear and Nonlinear Raman Spectroscopic Approaches. https://app.cochat.ai/papers/10.1002/anie.201607604
- The paper
- Krafft, C., Schmitt, M., Schie, I. W., Cialla‐May, D., Matthäus, C., Bocklitz, T., & Popp, J. (2017). Label‐Free Molecular Imaging of Biological Cells and Tissues by Linear and Nonlinear Raman Spectroscopic Approaches. Angewandte Chemie International Edition. https://doi.org/10.1002/anie.201607604
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
