Depth-of-Focus reduction for digital in-line holography of particle fields  Poor axial precision caused, in part, by large depth-of-focus has been a vexing problem in particle position extraction from digital in-line holograms. Michigan Tech researchers have developed a simpler method to combat the depth-of-focus difficulty. Laboratory tests and simulations proved that the large depth of focus problems believed to be inherent in in –line holograms can be greatly improved by a digital filter to the limit determined only by the pixel size of the detector. This digital filter method relaxes the demands on optical configurations used in in-line holography. It is effective in applications using seeding particles in which the particle size can be uniform with high accuracy, such as particle tracking / image velocimetry. |
MEMS Center in Wireless Integrated Microsystems A multi-university National Engineering Research Center in Wireless Integrated Microsystems funded by the National Science Foundation gives MTU a strong base for microtechnology research. Among its first projects, the center will design a next generation cochlear implant for which MTU will design and build a |
Magnetic Photonic Crystals Researchers are in the process of developing important materials research solutions that will enable the application of thin film magnetic photonic crystals to high performance electro-optical devices. Of great interest is a process that allows characterization and measurement of properties of novel materials that can simultaneously show piezoelectric properties, and change their index of refraction. These materials are used as [photonic crystals], materials that selectively filter frequencies of light and are tunable with an electric field. |
Statistical Modeling and Inference for Computational Imaging and Signal Analysis This is an extensive research program exploring the application of statistical modeling and inference to problems in computational imaging and signal analysis. Formative work was conducted in the area of multi-frame blind deconvolution with physical system-constraints. More recently, the program has been oriented toward system design and analysis for computational sensing and imaging; image restoration and synthesis with system uncertainties; active imaging with sparse arrays; multi-spectral mine detection; and image recovery from intensity measurements. The work has cross-cutting application including aeronautical and aerospace engineering. |
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