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Automated migration analysis based on cell texture: method &; reliability |
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| Authors: | Jianfeng?Qin,Thomas?W?Chittenden,Ling?Gao,Justin?D?Pearlman mailto:Justin.D.Pearlman@Dartmouth.EDU" title=" Justin.D.Pearlman@Dartmouth.EDU" itemprop=" email" data-track=" click" data-track-action=" Email author" data-track-label=" " >Email author |
| Affiliation: | (1) Thayer School of Engineering, Dartmouth College, Hanover, NH 03755, USA;(2) Dartmouth Advanced Imaging Center, Dartmouth-Hitchcock Medical Center, One Medical Drive, Lebanon, NH 03756, USA;(3) Angiogenesis Research Center, Dartmouth-Hitchcock Medical Center, One Medical Drive, Lebanon, NH 03756, USA;(4) Dartmouth Medical School, Hanover, NH 03755, USA |
| Abstract: | BackgroundIn this paper, we present and validate a way to measure automatically the extent of cell migration based on automated examination of a series of digital photographs. It was designed specifically to identify the impact of Second Hand Smoke (SHS) on endothelial cell migration but has broader applications. The analysis has two stages: (1) preprocessing of image texture, and (2) migration analysis. |
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