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Proceedings Paper

Single beam quantitative phase contrast 3D microscopy of cells
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Paper Abstract

Imaging of cells is an interesting and challenging problem as they do not appreciably change the amplitude of the electromagnetic radiation interacting with them. Phase contrast techniques can be used to overcome this hurdle. Interferometric phase contrast techniques like digital holography can be used for quantitative phase contrast microscopic imaging of transparent objects and it yields the three dimensional profile of the object under investigation. These methods also have advantage of numerical focusing, allowing one to focus on to any desired object plane. But most of the interferometric quantitative phase contrast techniques require two beams as well as the adjustment of the beams for high fringe contrast, requiring stringent optical conditions. Here we present a single beam phase retrieval technique for quantitative phase contrast microscopy of cells. The phase information of the object is obtained by sampling the volume speckle field generated by the object at several axial planes. These intensity patterns are used iteratively in the diffraction integral to retrieve the phase information about the object. The advantages of this technique include compactness, immunity to external vibrations as well as the prospect of usage of low coherent sources.

Paper Details

Date Published: 2 June 2011
PDF: 8 pages
Proc. SPIE 8092, Medical Laser Applications and Laser-Tissue Interactions V, 80920D (2 June 2011); doi: 10.1117/12.894998
Show Author Affiliations
Vani K. Chhaniwal, Univ. Stuttgart (Germany)
Parul Institute of Engineering & Technology (India)
Arun Anand, Maharaja Sayajirao Univ. of Baroda (India)
Ahmad Faridian, Univ. Stuttgart (Germany)
Giancarlo Pedrini, Univ. Stuttgart (Germany)
Wolfgang Osten, Univ. Stuttgart (Germany)
Bahram Javidi, Univ. of Connecticut (United States)

Published in SPIE Proceedings Vol. 8092:
Medical Laser Applications and Laser-Tissue Interactions V
Ronald Sroka; Lothar D. Lilge, Editor(s)

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