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The Fluorescein Break-Up Time (FBUT) test, which involves instilling fluorescein dye in the eye, is a widely used method for assessing tear film stability. In this work, we propose DEDector, a low-cost, smartphone-based automated Non-Invasive Break-Up Time (NIBUT) measurement for DED screening. Utilizing a 3D-printed Placido ring attachment on a smartphone's camera, DEDector projects concentric rings onto the cornea, capturing a video for subsequent analysis using our proposed video processing pipeline to identify tear film stability. We conducted a real-world evaluation on 46 eyes, comparing DEDector with the traditional FBUT method. DEDector achieved a sensitivity of 77.78% and specificity of 82.14%, outperforming FBUT.<\/jats:p>","DOI":"10.1145\/3699742","type":"journal-article","created":{"date-parts":[[2024,11,21]],"date-time":"2024-11-21T12:23:32Z","timestamp":1732191812000},"page":"1-26","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":2,"title":["DEDector: Smartphone-Based Noninvasive Screening of Dry Eye Disease"],"prefix":"10.1145","volume":"8","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1656-9352","authenticated-orcid":false,"given":"Vaibhav","family":"Ganatra","sequence":"first","affiliation":[{"name":"Microsoft Research, India"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-0019-8156","authenticated-orcid":false,"given":"Soumyasis","family":"Gun","sequence":"additional","affiliation":[{"name":"Microsoft Research, India"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4724-3571","authenticated-orcid":false,"given":"Pallavi","family":"Joshi","sequence":"additional","affiliation":[{"name":"Sankara Eye Hospital, India"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0326-6747","authenticated-orcid":false,"given":"Anand","family":"Balasubramaniam","sequence":"additional","affiliation":[{"name":"Sankara Eye Hospital, India"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1385-3227","authenticated-orcid":false,"given":"Kaushik","family":"Murali","sequence":"additional","affiliation":[{"name":"Sankara Eye Hospital, India"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0354-6204","authenticated-orcid":false,"given":"Nipun","family":"Kwatra","sequence":"additional","affiliation":[{"name":"Microsoft Research, India"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7106-164X","authenticated-orcid":false,"given":"Mohit","family":"Jain","sequence":"additional","affiliation":[{"name":"Microsoft Research, India"}]}],"member":"320","published-online":{"date-parts":[[2024,11,21]]},"reference":[{"key":"e_1_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.measurement.2023.113767"},{"key":"e_1_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1016\/0021-9290(74)90013-X"},{"key":"e_1_2_1_3_1","volume-title":"The OpenCV Library. 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