{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,30]],"date-time":"2026-07-30T11:21:52Z","timestamp":1785410512202,"version":"3.56.0"},"reference-count":15,"publisher":"Optica Publishing Group","issue":"5","license":[{"start":{"date-parts":[[2026,2,19]],"date-time":"2026-02-19T00:00:00Z","timestamp":1771459200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/doi.org\/10.1364\/OA_License_v2#VOR"},{"start":{"date-parts":[[2026,2,19]],"date-time":"2026-02-19T00:00:00Z","timestamp":1771459200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/opg.optica.org\/policies\/opg-tdm-policy.json"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"crossref","award":["62405050"],"award-info":[{"award-number":["62405050"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"},{"id":"https:\/\/ror.org\/01h0zpd94","id-type":"ROR","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"crossref","award":["62105061"],"award-info":[{"award-number":["62105061"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"},{"id":"https:\/\/ror.org\/01h0zpd94","id-type":"ROR","asserted-by":"publisher"}]},{"name":"State Key Laboratory of Infrared Physics","award":["SITP-SKLIP-YB-2025-08"],"award-info":[{"award-number":["SITP-SKLIP-YB-2025-08"]}],"id":[{"id":"https:\/\/ror.org\/02nazt902","id-type":"ROR","asserted-by":"publisher"}]},{"name":"Advanced Ocean Institute of Southeast University, Nantong","award":["Key Program KP20010003"],"award-info":[{"award-number":["Key Program KP20010003"]}]}],"content-domain":{"domain":["opg.optica.org"],"crossmark-restriction":false},"short-container-title":["Opt. Lett."],"published-print":{"date-parts":[[2026,3,1]]},"abstract":"<jats:p>\n                    It is challenging to achieve high-resolution, high signal-to-noise ratio (SNR) imaging of the entire cornea with optical coherence tomography (OCT) due to the cornea\u2019s curved, dome-like shape. With a typical telecentric scanning optical path, the scattered photons are less likely to return to the interferometer at the peripheral regions, leading to a reduction in SNR. This study presents a 6-degree-of-freedom (6-DOF) robotic-arm-assisted, ultra-high-resolution OCT imaging system designed to adapt to the cornea\u2019s curvature. In this system, a multi-region scanning approach combined with robotic arm pose control is employed to maintain the sample beam perpendicular to the surface across the entire cornea for consistent high SNR imaging. An en face-correlation-based volumetric registration algorithm is proposed for high-accuracy registration for the obtained multiple local images. Experiments on\n                    <jats:italic toggle=\"yes\">ex vivo<\/jats:italic>\n                    porcine eyes demonstrated that the proposed technique achieved high-quality imaging over a 12\u2009mm \u00d7 12.4\u2009mm area, covering the cornea and its peripheral regions. This system clearly visualized structures such as the epithelial, stromal, and endothelial layers, validating its potential for comprehensive diagnosis and evaluation of corneal diseases. Overall, we believe this study could provide a solution for high-resolution imaging on cornea in ophthalmology.\n                  <\/jats:p>","DOI":"10.1364\/ol.587073","type":"journal-article","created":{"date-parts":[[2026,2,9]],"date-time":"2026-02-09T15:00:13Z","timestamp":1770649213000},"page":"1168","update-policy":"https:\/\/doi.org\/10.1364\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Robotically assisted large-field-of-view, ultra-high-resolution imaging for the entire cornea with spectral domain optical coherence tomography"],"prefix":"10.1364","volume":"51","author":[{"given":"Lifeng","family":"Dong","sequence":"first","affiliation":[{"name":"Southeast University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chaoliang","family":"Chen","sequence":"additional","affiliation":[{"name":"Southeast University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7186-7045","authenticated-orcid":true,"given":"Tong","family":"Lin","sequence":"additional","affiliation":[{"name":"Southeast University"},{"name":"Chinese Academy of Sciences"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Junpeng","family":"Lu","sequence":"additional","affiliation":[{"name":"Southeast University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6316-2256","authenticated-orcid":true,"given":"Zhenhua","family":"Ni","sequence":"additional","affiliation":[{"name":"Southeast University"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"285","published-online":{"date-parts":[[2026,2,19]]},"reference":[{"key":"ol-51-5-1168-R1","doi-asserted-by":"publisher","first-page":"1178","DOI":"10.1126\/science.1957169","type":"journal-article","volume":"254","author":"Huang","year":"1991","journal-title":"Science"},{"key":"ol-51-5-1168-R2","doi-asserted-by":"publisher","first-page":"9","DOI":"10.1186\/s40662-020-0174-x","type":"journal-article","volume":"7","author":"Esporcatte","year":"2020","journal-title":"Eye Vis."},{"key":"ol-51-5-1168-R3","doi-asserted-by":"publisher","first-page":"1524595","DOI":"10.3389\/fopht.2024.1524595","type":"journal-article","volume":"4","author":"Lent-Schochet","year":"2025","journal-title":"Front. 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All rights, including for text and data mining (TDM), Artificial Intelligence (AI) training, and similar technologies, are reserved.","name":"copyright","label":"Copyright"}]}}