The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Distinguishing cell types or populations based on the computational analysis of their infrared spectra
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Citations
Cites
The Elements of Statistical Learning
Hastie, T., Tibshirani, R., & Friedman, J. (2009) · Springer Series in Statistics · doi:10.1007/978-0-387-84858-7 · Cited by 25,970
Fourier Transform Infrared Spectrometry
Griffiths, P. R., & de Haseth, J. A. (2007) · doi:10.1002/047010631x · Cited by 3,052
Bassan, P., Kohler, A., Martens, H., Lee, J., Byrne, H. J., Dumas, P., Gazi, E., Brown, M., Clarke, N., & Gardner, P. (2010) · The Analyst · doi:10.1039/b921056c · Cited by 375
Cited by
Using Raman spectroscopy to characterize biological materials
Butler, H. J., Ashton, L., Bird, B., Cinque, G., Curtis, K., Dorney, J., Esmonde-White, K., Fullwood, N. J., Gardner, B., Martin-Hirsch, P. L., et al. (2016) · Nature Protocols · doi:10.1038/nprot.2016.036 · Cited by 1,309
Self-citationTutorial: multivariate classification for vibrational spectroscopy in biological samples
Morais, C. L. M., Lima, K. M. G., Singh, M., & Martin, F. L. (2020) · Nature Protocols · doi:10.1038/s41596-020-0322-8 · Cited by 355
Self-citationHigh-resolution Fourier-transform infrared chemical imaging with multiple synchrotron beams
Nasse, M. J., Walsh, M. J., Mattson, E. C., Reininger, R., Kajdacsy-Balla, A., Macias, V., Bhargava, R., & Hirschmugl, C. J. (2011) · Nature Methods · doi:10.1038/nmeth.1585 · Cited by 349
Self-citationZhang, Y., Chang, K., Ogunlade, B., Herndon, L., Tadesse, L. F., Kirane, A. R., & Dionne, J. A. (2024) · ACS Nano · doi:10.1021/acsnano.4c04282 · Cited by 83
Towards the in vivo prediction of fragility fractures with Raman spectroscopy
Buckley, K., Kerns, J. G., Vinton, J., Gikas, P. D., Smith, C., Parker, A. W., Matousek, P., & Goodship, A. E. (2015) · Journal of Raman Spectroscopy · doi:10.1002/jrs.4706 · Cited by 68
Metadata
- Authors
- Martin, F. L., Kelly, J. G., Llabjani, V., Martin-Hirsch, P. L., Patel, I. I., Trevisan, J., Fullwood, N. J., & Walsh, M. J.
- Venue
- Nature Protocols
- Published
- 2010-10-07
- Volume
- 5
- Issue
- 11
- Pages
- 1748-1760
- ISSN
- 1750-2799 (ISSN-L)
- 1754-2189
- OpenAlex
- W2139790640
- Cited by
- 329
- References
- 3
- FWCI
- 11.83
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Distinguishing cell types or populations based on the computational analysis of their infrared spectra. https://app.cochat.ai/papers/10.1038/nprot.2010.133
- The paper
- Martin, F. L., Kelly, J. G., Llabjani, V., Martin-Hirsch, P. L., Patel, I. I., Trevisan, J., Fullwood, N. J., & Walsh, M. J. (2010). Distinguishing cell types or populations based on the computational analysis of their infrared spectra. Nature Protocols. https://doi.org/10.1038/nprot.2010.133
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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.
