Stimulated Raman spectroscopy combined with machine learning generates histological images for the rapid diagnosis and classification of brain tumours.
This is a preview of subscription content, access via your institution
Access options
Access Nature and 54 other Nature Portfolio journals
Get Nature+, our best-value online-access subscription
$29.99 / 30 days
cancel any time
Subscribe to this journal
Receive 12 digital issues and online access to articles
$99.00 per year
only $8.25 per issue
Buy this article
- Purchase on Springer Link
- Instant access to full article PDF
Prices may be subject to local taxes which are calculated during checkout
References
Somerset, H. L. & Keinschmidt-DeMasters, B. K. Adv. Anat. Pathol. 18, 446–449 (2011).
Perry, A. & Brat, D. J. Practical Surgical Neuropathology: A Diagnostic Approach (Pattern Recognition Series, Elsevier Health Sciences, 2010).
Uematsu, Y. et al. Brain Tumor Pathol. 24, 47–52 (2007).
Lu, F. K. et al. Proc. Natl Acad. Sci. USA 112, 11624–11629 (2015).
Ji, M. et al. Sci. Transl. Med. 7, 309 (2015).
Orringer, D. et al. Nat. Biomed. Eng. 1, 0027 (2017).
Lu, F. K. et al. Cancer Res. 76, 3451–3462 (2016).
Wesseling, P. et al. Diagnostic Histopathology 17, 486–494 (2011).
Jermyn, M. et al. Sci. Transl. Med. 7, 274ra19 (2015).
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Figueiredo, C., Rutka, J. Diagnostic imaging: Intraoperative virtual histology. Nat Biomed Eng 1, 0033 (2017). https://doi.org/10.1038/s41551-017-0033
Published:
DOI: https://doi.org/10.1038/s41551-017-0033