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High-quality three-dimensional reconstruction and noise reduction of multifocal images from oversized samples

[+] Author Affiliations
Dalibor Martišek, Jana Procházková

Brno University of Technology, Faculty of Mechanical Engineering, Department of Mathematics, Technická 2, Brno 616 69, Czech Republic

Tomáš Ficker

Brno University of Technology, Faculty of Civil Engineering, Department of Physics, Veverí 95, Brno 602 00, Czech Republic

J. Electron. Imaging. 24(5), 053029 (Oct 20, 2015). doi:10.1117/1.JEI.24.5.053029
History: Received June 5, 2015; Accepted September 21, 2015
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Abstract.  Three-dimensional (3-D) reconstruction is an indispensable tool in areas such as biology, chemistry, medicine, material sciences, etc. The sample can be reconstructed using confocal or nonconfocal mode of a microscope. The limitation of the confocal approach is the sample size. Currently used devices work mostly with sample surface area up to 1cm2. We suggest a three-step method that creates 3-D reconstruction from multifocal images in nonconfocal mode that is qualitatively comparable to the confocal results. Our method, thus, takes advantage of both microscope modes—high-quality results without sample size limitation. The preprocessing step eliminates the additive noise with Linderberg-Lévi theorem. The main focus criterion is based on adjusted Fourier transform. In the final step, we eliminate the defective clusters using the adaptive pixel neighborhood algorithm. We proved the effectiveness of our noise reduction and 3-D reconstruction method by the statistical comparisons; the correlation coefficients average 0.987 for all types of Fourier transforms.

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© 2015 Society of Photo-Optical Instrumentation Engineers

Citation

Dalibor Martišek ; Jana Procházková and Tomáš Ficker
"High-quality three-dimensional reconstruction and noise reduction of multifocal images from oversized samples", J. Electron. Imaging. 24(5), 053029 (Oct 20, 2015). ; http://dx.doi.org/10.1117/1.JEI.24.5.053029


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