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

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dc.citation.firstpage33051en_US
dc.citation.issueNumber52en_US
dc.citation.journalTitleProceedings of the National Academy of Sciencesen_US
dc.citation.lastpage33060en_US
dc.citation.volumeNumber117en_US
dc.contributor.authorJin, Lingboen_US
dc.contributor.authorTang, Yuboen_US
dc.contributor.authorWu, Yichengen_US
dc.contributor.authorCoole, Jackson B.en_US
dc.contributor.authorTan, Melody T.en_US
dc.contributor.authorZhao, Xuanen_US
dc.contributor.authorBadaoui, Hawraaen_US
dc.contributor.authorRobinson, Jacob T.en_US
dc.contributor.authorWilliams, Michelle D.en_US
dc.contributor.authorGillenwater, Ann M.en_US
dc.contributor.authorRichards-Kortum, Rebecca R.en_US
dc.contributor.authorVeeraraghavan, Ashoken_US
dc.date.accessioned2021-02-24T19:15:41Zen_US
dc.date.available2021-02-24T19:15:41Zen_US
dc.date.issued2020en_US
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.en_US
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.en_US
dc.identifier.digital33051-fullen_US
dc.identifier.doihttps://doi.org/10.1073/pnas.2013571117en_US
dc.identifier.urihttps://hdl.handle.net/1911/110079en_US
dc.language.isoengen_US
dc.publisherPNASen_US
dc.rightsThis open access article is distributed under Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND).en_US
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/en_US
dc.titleDeep learning extended depth-of-field microscope for fast and slide-free histologyen_US
dc.typeJournal articleen_US
dc.type.dcmiTexten_US
dc.type.publicationpublisher versionen_US
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