Imaging Components, Systems, and Processing

Three-dimensional reconstruction of microscopic images using different order intensity derivatives

[+] Author Affiliations
Yu Wang

Beijing Technology and Business University, School of Computer and Information Engineering, No. 11 Fucheng Road, Haidian District, Beijing 100048, China

Huan Jiang

Beijing Technology and Business University, School of Computer and Information Engineering, No. 11 Fucheng Road, Haidian District, Beijing 100048, China

Opt. Eng. 54(2), 023103 (Feb 03, 2015). doi:10.1117/1.OE.54.2.023103
History: Received September 17, 2014; Accepted January 5, 2015
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Abstract.  Fluorescence microscopic image three-dimensional (3-D) reconstruction is a challenging topic in image processing and computer vision, and can be widely applied to life science, biology, and medicine. A microscopic images 3-D reconstruction method is proposed for transparent or partially transparent microscopic samples, which is based on the Taylor expansion theorem and polynomial fitting. First, the image stack of the specimen is divided into several groups in an overlapping or nonoverlapping way along the optical axis, and the first image of every group is regarded as the reference image. Then, different order intensity derivatives are calculated using all the images of every group and a polynomial fitting method. Subsequently, a new image can be generated by means of Taylor expansion theorem and the calculated different order intensity derivatives and for which the distance to the reference image is Δz along the optical axis. Finally, the microscopic specimen can be reconstructed in 3-D form using deconvolution technology and all the images including both the observed and the generated images. The experimental results show the superior performance via processing simulated and real fluorescence microscopic degraded images.

© 2015 Society of Photo-Optical Instrumentation Engineers

Citation

Yu Wang and Huan Jiang
"Three-dimensional reconstruction of microscopic images using different order intensity derivatives", Opt. Eng. 54(2), 023103 (Feb 03, 2015). ; http://dx.doi.org/10.1117/1.OE.54.2.023103


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