title: Cell shape identification using digital holographic microscopy.
abstract: We present a cost-effective, simple, and fast digital holographic microscopy method based upon Rayleigh-Sommerfeld backpropagation for identification of the geometrical shape of a cell. The method was tested using synthetic hologram images generated by ray-tracing software and from experimental images of semitransparent spherical beads and living red blood cells. Our results show that, by only using the real part of the back-reconstructed amplitude, the proposed method can provide information of the geometrical shape of the object and at the same time accurately determine the axial position of the object under study. The proposed method can be used in flow chamber assays for pathophysiological studies where fast morphological changes of cells are studied in high numbers and at different heights.
authors.forename: Johan
authors.initials: J
authors.lastname: Zakrisson
authors.forename: Staffan
authors.initials: S
authors.lastname: Schedin
authors.forename: Magnus
authors.initials: M
authors.lastname: Andersson
mesh_terms: D000465:Algorithms; D048430:Cell Shape; D004867:Equipment Design; D004912:Erythrocytes / Q000166:cytology*; D006696:Holography / Q000379:methods*; D006801:Humans; D007089:Image Enhancement / Q000379:methods; D007091:Image Processing, Computer-Assisted; D008027:Light; D008853:Microscopy / Q000379:methods*; D008962:Models, Theoretical; D055095:Optics and Photonics; D011137:Polystyrenes / Q000737:chemistry; D012815:Signal Processing, Computer-Assisted; D012984:Software
chemical_list: D011137:Polystyrenes