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Label-free intraoperative histology of bone tissue via deep-learning-assisted ultraviolet photoacoustic microscopy

Cao, Rui and Nelson, Scott D. and Davis, Samuel and Liang, Yu and Luo, Yilin and Zhang, Yide and Crawford, Brooke and Wang, Lihong V. (2022) Label-free intraoperative histology of bone tissue via deep-learning-assisted ultraviolet photoacoustic microscopy. Nature Biomedical Engineering . ISSN 2157-846X. doi:10.1038/s41551-022-00940-z. (In Press) https://resolver.caltech.edu/CaltechAUTHORS:20221003-756400000.12

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Abstract

Obtaining frozen sections of bone tissue for intraoperative examination is challenging. To identify the bony edge of resection, orthopaedic oncologists therefore rely on pre-operative X-ray computed tomography or magnetic resonance imaging. However, these techniques do not allow for accurate diagnosis or for intraoperative confirmation of the tumour margins, and in bony sarcomas, they can lead to bone margins up to 10-fold wider (1,000-fold volumetrically) than necessary. Here, we show that real-time three-dimensional contour-scanning of tissue via ultraviolet photoacoustic microscopy in reflection mode can be used to intraoperatively evaluate undecalcified and decalcified thick bone specimens, without the need for tissue sectioning. We validate the technique with gold-standard haematoxylin-and-eosin histology images acquired via a traditional optical microscope, and also show that an unsupervised generative adversarial network can virtually stain the ultraviolet-photoacoustic-microscopy images, allowing pathologists to readily identify cancerous features. Label-free and slide-free histology via ultraviolet photoacoustic microscopy may allow for rapid diagnoses of bone-tissue pathologies and aid the intraoperative determination of tumour margins.


Item Type:Article
Related URLs:
URLURL TypeDescription
https://doi.org/10.1038/s41551-022-00940-zDOIArticle
https://rdcu.be/cWYt0PublisherFree ReadCube access
ORCID:
AuthorORCID
Cao, Rui0000-0003-4444-7528
Davis, Samuel0000-0002-0871-8880
Zhang, Yide0000-0002-9463-3970
Crawford, Brooke0000-0003-2722-7080
Wang, Lihong V.0000-0001-9783-4383
Additional Information:We thank M. D’Apuzzo for helpful discussions and valuable pathological feedback. This work was sponsored by the United States National Institutes of Health (NIH) grants R01 CA186567 (NIH Director’s Transformative Research Award), R35 CA220436 (Outstanding Investigator Award) and R01 EB028277A.
Funders:
Funding AgencyGrant Number
NIHR01 CA186567
NIHR35 CA220436
NIHR01 EB028277A
DOI:10.1038/s41551-022-00940-z
Record Number:CaltechAUTHORS:20221003-756400000.12
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20221003-756400000.12
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:117206
Collection:CaltechAUTHORS
Deposited By: Melissa Ray
Deposited On:06 Oct 2022 19:50
Last Modified:06 Oct 2022 19:50

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