{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,9]],"date-time":"2026-03-09T18:42:46Z","timestamp":1773081766090,"version":"3.50.1"},"reference-count":39,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2023,7,26]],"date-time":"2023-07-26T00:00:00Z","timestamp":1690329600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Bioinform."],"abstract":"<jats:p>Traditional staining of biological specimens for microscopic imaging entails time-consuming, laborious, and costly procedures, in addition to producing inconsistent labeling and causing irreversible sample damage. In recent years, computational \u201cvirtual\u201d staining using deep learning techniques has evolved into a robust and comprehensive application for streamlining the staining process without typical histochemical staining-related drawbacks. Such virtual staining techniques can also be combined with neural networks designed to correct various microscopy aberrations, such as out-of-focus or motion blur artifacts, and improve upon diffracted-limited resolution. Here, we highlight how such methods lead to a host of new opportunities that can significantly improve both sample preparation and imaging in biomedical microscopy.<\/jats:p>","DOI":"10.3389\/fbinf.2023.1243663","type":"journal-article","created":{"date-parts":[[2023,7,26]],"date-time":"2023-07-26T11:24:24Z","timestamp":1690370664000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":7,"title":["Digital staining facilitates biomedical microscopy"],"prefix":"10.3389","volume":"3","author":[{"given":"Michael John","family":"Fanous","sequence":"first","affiliation":[]},{"given":"Nir","family":"Pillar","sequence":"additional","affiliation":[]},{"given":"Aydogan","family":"Ozcan","sequence":"additional","affiliation":[]}],"member":"1965","published-online":{"date-parts":[[2023,7,26]]},"reference":[{"key":"B1","doi-asserted-by":"publisher","first-page":"72","DOI":"10.5539\/gjhs.v8n3p72","article-title":"Histological stains: A literature review and case study","volume":"8","author":"Alturkistani","year":"2016","journal-title":"Glob. 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