Paper
14 April 2010 Quantitative analysis of live cells using digital holographic microscopy
Tan Rongwei Lewis, Weijuan Qu, Oi Choo Chee, Vijay Raj Singh, Anand Asundi
Author Affiliations +
Proceedings Volume 7522, Fourth International Conference on Experimental Mechanics; 75222P (2010) https://doi.org/10.1117/12.851716
Event: Fourth International Conference on Experimental Mechanics, 2009, Singapore, Singapore
Abstract
During the life time of a cell, it goes through changes to the plasma membrane as well as its internal structures especially distinctive during processes like cell division and death. Different types of microscope are used to fulfill the observation of the cell's variation. In our experiment, Vero cells have been investigated by using phase contrast microscopy and digital holographic microscopy (DHM). A comparison of the images obtained for cell division is presented here. The conventional phase contrast microscope provided a good imaging method in the real time analysis of cell division. The off-axis digital hologram recorded by the DHM system can be reconstructed to obtain both the intensity image and phase contrast image of the test object. These can be used for live cell imaging to provide multiple results from a single equipment setup. The DHM system, besides being a qualitative tool, is able to provide quantitative results and 3D images of the cell division process. The ability of DHM to provide quantitative analysis makes it an ideal tool for life science applications.
© (2010) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Tan Rongwei Lewis, Weijuan Qu, Oi Choo Chee, Vijay Raj Singh, and Anand Asundi "Quantitative analysis of live cells using digital holographic microscopy", Proc. SPIE 7522, Fourth International Conference on Experimental Mechanics, 75222P (14 April 2010); https://doi.org/10.1117/12.851716
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KEYWORDS
Digital holography

Microscopes

Microscopy

Phase contrast

Holography

3D image processing

Quantitative analysis

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