Literature DB >> 8165581

Phase-shifting interference microscopy applied to the analysis of cell behaviour.

G A Dunn1, D Zicha.   

Abstract

The theory of phase-shifting interferometry is not new but it is only recently, with the advent of solid-state detector arrays and fast image processors, that it has become a practical imaging technique. In conjunction with transmission interference microscopy, phase-shifting presents a new way of introducing contrast into the images of transparent microscopic objects such as cultured cells. An earlier paper from our laboratory has emphasised the advantages of transmission interference microscopy over phase contrast or differential interference contrast microscopy for the computerised analysis of cell behaviour. Phase-shifting greatly improves the accuracy, long-term stability and range of application of this technique but it has not previously, to our knowledge, been combined with transmission interference microscopy for the study of cultured cells. The resulting image is especially well suited to quantitative analysis by computer since it is a direct representation of the distribution of non-aqueous cellular material in the specimen. The image is not degraded by uneven illumination; by heterogeneous sensitivity of the detector array; or by differential absorption of light in the optics or specimen. Our main purpose in developing the method is to obtain sequences of images of the motile behaviour of cells in culture for analysis by computer. This type of analysis is potentially a powerful tool for studying the motile responses of cells and the operation and control of their locomotory machinery. Not only can the method be used for studying cell translocation and the dynamics of intracellular movement of non-aqueous material, but it is now possible to study in detail the time course of growth in individual cultured cells.

Mesh:

Year:  1993        PMID: 8165581

Source DB:  PubMed          Journal:  Symp Soc Exp Biol        ISSN: 0081-1386


  13 in total

1.  Optical imaging of cell mass and growth dynamics.

Authors:  Gabriel Popescu; Youngkeun Park; Niyom Lue; Catherine Best-Popescu; Lauren Deflores; Ramachandra R Dasari; Michael S Feld; Kamran Badizadegan
Journal:  Am J Physiol Cell Physiol       Date:  2008-06-18       Impact factor: 4.249

2.  Imaging red blood cell dynamics by quantitative phase microscopy.

Authors:  Gabriel Popescu; YoungKeun Park; Wonshik Choi; Ramachandra R Dasari; Michael S Feld; Kamran Badizadegan
Journal:  Blood Cells Mol Dis       Date:  2008-04-01       Impact factor: 3.039

Review 3.  Review of quantitative phase-digital holographic microscopy: promising novel imaging technique to resolve neuronal network activity and identify cellular biomarkers of psychiatric disorders.

Authors:  Pierre Marquet; Christian Depeursinge; Pierre J Magistretti
Journal:  Neurophotonics       Date:  2014-09-22       Impact factor: 3.593

4.  Dynamic 4-dimensional microscope system with automated background leveling.

Authors:  Goldie Goldstein; Katherine Creath
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2012-09-13

5.  Dynamic phase imaging utilizing a 4-dimensional microscope system.

Authors:  Katherine Creath
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2011-02-21

6.  Dynamic quantitative phase images of pond life, insect wings, and in vitro cell cultures.

Authors:  Katherine Creath
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2010-08-02

7.  Dynamic phase imaging for in vitro process monitoring and cell tracking.

Authors:  Katherine Creath
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2011

8.  Tomographic phase microscopy: principles and applications in bioimaging [Invited].

Authors:  Di Jin; Renjie Zhou; Zahid Yaqoob; Peter T C So
Journal:  J Opt Soc Am B       Date:  2017       Impact factor: 2.106

9.  Performance enhancement and background removal to improve dynamic phase imaging of biological organisms.

Authors:  Katherine Creath; Goldie Goldstein
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2012

10.  Dynamic quantitative phase imaging for biological objects using a pixelated phase mask.

Authors:  Katherine Creath; Goldie Goldstein
Journal:  Biomed Opt Express       Date:  2012-10-17       Impact factor: 3.732

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