{"id":1927,"date":"2022-01-19T05:01:16","date_gmt":"2022-01-19T10:01:16","guid":{"rendered":"https:\/\/beta.research.ece.ncsu.edu\/enbisys\/?post_type=team&#038;p=1927"},"modified":"2023-08-23T11:08:12","modified_gmt":"2023-08-23T15:08:12","slug":"eli-buckner","status":"publish","type":"team","link":"https:\/\/research.ece.ncsu.edu\/enbisys\/team\/eli-buckner\/","title":{"rendered":"Eli Buckner"},"content":{"rendered":"<p>Eli Buckner was a Ph.D. student in the EnBiSys Lab, who used computer vision and statistical methods to develop an automated analysis of microscopy images of Arabidopsis plants. Eli\u00a0received a B.S.E. from the UNC Asheville \u2013 NC State joint Mechatronics Engineering Program in 2016 and a M.S. in Electrical Engineering from NC State in 2018. 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