Cell identification with computational: 3-D holographic microscopy

Inkyu Moon, Mehdi Daneshpanah, Arun Anand, Bahram Javidi

Research output: Contribution to specialist publicationArticle

57 Scopus citations

Abstract

Techniques in 3-D digital holographic microscopy (DHM) integrated with numerical processing are enabling researchers to obtain rich, quantitative information about the structure of cells and microorganisms in noninvasive real-time conditions. In single-exposure DHM, a digital Fresnel hologram is recorded from the specimen in either on-axis or off-axis configurations. The microscope objective that is used for magnifying the field can be removed in a lensless implementation. One can reconstruct the specimen's 3-D image, or a stack of 2-D images, from the recorded digital hologram by inverse Fresnel transformation. Cross-comparison with 2-D intensity images has shown that complex 3-D images that are reconstructed from digital holograms provide more discriminating features and allow for better classification of cells. The 3-D reconstruction of cells can be used with statistical pattern recognition algorithms to recognize and classify the cells in real-time.

Original languageEnglish
Pages18-23
Number of pages6
Volume22
No6
Specialist publicationOptics and Photonics News
DOIs
StatePublished - Jun 2011

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