Deep learning extended depth-of-field microscope for fast and slide-free histology

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dc.citation.firstpage33051
dc.citation.issueNumber52
dc.citation.journalTitleProceedings of the National Academy of Sciences
dc.citation.lastpage33060
dc.citation.volumeNumber117
dc.contributor.authorJin, Lingbo
dc.contributor.authorTang, Yubo
dc.contributor.authorWu, Yicheng
dc.contributor.authorCoole, Jackson B.
dc.contributor.authorTan, Melody T.
dc.contributor.authorZhao, Xuan
dc.contributor.authorBadaoui, Hawraa
dc.contributor.authorRobinson, Jacob T.
dc.contributor.authorWilliams, Michelle D.
dc.contributor.authorGillenwater, Ann M.
dc.contributor.authorRichards-Kortum, Rebecca R.
dc.contributor.authorVeeraraghavan, Ashok
dc.date.accessioned2021-02-24T19:15:41Z
dc.date.available2021-02-24T19:15:41Z
dc.date.issued2020
dc.description.abstractMicroscopic evaluation of resected tissue plays a central role in the surgical management of cancer. Because optical microscopes have a limited depth-of-field (DOF), resected tissue is either frozen or preserved with chemical fixatives, sliced into thin sections placed on microscope slides, stained, and imaged to determine whether surgical margins are free of tumor cells—a costly and time- and labor-intensive procedure. Here, we introduce a deep-learning extended DOF (DeepDOF) microscope to quickly image large areas of freshly resected tissue to provide histologic-quality images of surgical margins without physical sectioning. The DeepDOF microscope consists of a conventional fluorescence microscope with the simple addition of an inexpensive (less than $10) phase mask inserted in the pupil plane to encode the light field and enhance the depth-invariance of the point-spread function. When used with a jointly optimized image-reconstruction algorithm, diffraction-limited optical performance to resolve subcellular features can be maintained while significantly extending the DOF (200 µm). Data from resected oral surgical specimens show that the DeepDOF microscope can consistently visualize nuclear morphology and other important diagnostic features across highly irregular resected tissue surfaces without serial refocusing. With the capability to quickly scan intact samples with subcellular detail, the DeepDOF microscope can improve tissue sampling during intraoperative tumor-margin assessment, while offering an affordable tool to provide histological information from resected tissue specimens in resource-limited settings.
dc.identifier.citationJin, Lingbo, Tang, Yubo, Wu, Yicheng, et al.. "Deep learning extended depth-of-field microscope for fast and slide-free histology." <i>Proceedings of the National Academy of Sciences,</i> 117, no. 52 (2020) PNAS: 33051-33060. https://doi.org/10.1073/pnas.2013571117.
dc.identifier.digital33051-full
dc.identifier.doihttps://doi.org/10.1073/pnas.2013571117
dc.identifier.urihttps://hdl.handle.net/1911/110079
dc.language.isoeng
dc.publisherPNAS
dc.rightsThis open access article is distributed under Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND).
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.titleDeep learning extended depth-of-field microscope for fast and slide-free histology
dc.typeJournal article
dc.type.dcmiText
dc.type.publicationpublisher version
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