Author:
Bozic Ivan,Behr Madeline R.,Brown J. Quincy
Funder
National Institutes of Health
Publisher
Springer Science and Business Media LLC
Reference63 articles.
1. Rivenson, Y. et al. Virtual histological staining of unlabelled tissue-autofluorescence images via deep learning. Nat. Biomed. Eng. 3, 466–477. https://doi.org/10.1038/s41551-019-0362-y (2019).
2. Nguyen, F. T. et al. Intraoperative evaluation of breast tumor margins with optical coherence tomography. Cancer Res. 69, 8790–8796. https://doi.org/10.1158/0008-5472.Can-08-4340 (2009).
3. Cao, R. et al. Label-free intraoperative histology of bone tissue via deep-learning-assisted ultraviolet photoacoustic microscopy. Nat. Biomed. Eng. https://doi.org/10.1038/s41551-022-00940-z (2022).
4. Abraham, T. M., Costa, P. C., Filan, C., Robles, F. & Levenson, R. Mode-mapping qOBM microscopy to virtual hematoxylin and eosin (H&E) histology via deep learning. In Unconventional Optical Imaging III 203–210 (SPIE, 2022).
5. Campagnola, P. J. & Loew, L. M. Second-harmonic imaging microscopy for visualizing biomolecular arrays in cells, tissues and organisms. Nat. Biotechnol. 21, 1356–1360. https://doi.org/10.1038/nbt894 (2003).