Literature DB >> 26368783

Cell shape identification using digital holographic microscopy.

Johan Zakrisson, Staffan Schedin, Magnus Andersson.   

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.

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Year:  2015        PMID: 26368783     DOI: 10.1364/AO.54.007442

Source DB:  PubMed          Journal:  Appl Opt        ISSN: 1559-128X            Impact factor:   1.980


  2 in total

1.  Refining particle positions using circular symmetry.

Authors:  Alvaro Rodriguez; Hanqing Zhang; Krister Wiklund; Tomas Brodin; Jonatan Klaminder; Patrik Andersson; Magnus Andersson
Journal:  PLoS One       Date:  2017-04-12       Impact factor: 3.240

2.  3D-printable portable open-source platform for low-cost lens-less holographic cellular imaging.

Authors:  Stephan Amann; Max von Witzleben; Stefan Breuer
Journal:  Sci Rep       Date:  2019-08-02       Impact factor: 4.379

  2 in total

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