Students shared their personal experiences and thoughts while others came up with different suggestions on how to prevent such issues. Issues such as sexual harassment, discrimination and social media were brought up. The purpose of the meeting was to target and approach the results from the diversity survey taken last semester, as well as if there were significant changes and how the can be addressed. The first place winners were awarded $200, and writers are also able to place the awards See METROVERSITY page 2 By MONIQUE CAPTAN Staff IU Southeast student leaders gathered along with other faculty and staff members for a Spring Diversity Town Hall meeting on April 3. While the deadline for the competition was the end of January, this year was the first year students could submit electronically or in person to the Writing Center. James Leary, professor of English at the University of Louisville, was the presenter, as well as the academic writing judge. Judges of the competition were made up of four authors and poets from all over the United States.
Eight IUS students won this year, placing first and second in four of the five undergraduate categories, which included fiction, nonfiction, poetry, academic and international writing. Our novel global algorithm is a promising method for SH data image analysis in clinical and visual optics research for human and animal eyes.See page 3 | Baseball Ceramics | See page 8 Mighty Oaks fall on Grenadiers the horizon Week of ApVolume 66 | Issue 23 Students claim victory for writing competition By BRITTANY ELMORE Staff IU Southeast took home numerous awards at the 2012 Metroversity Writing Competition on March 29. The global algorithm is superior since it successfully recovered the focus value associated with both fundus layers even when their separation was too small to produce clearly separated spots, while the conventional analysis misrepresents the defocus component of the wavefront aberration as the mean defocus for the two reflectors. Sufficient information is contained in SH data images to measure the dioptric thickness of dual-layer fundus reflection. For 100 randomly generated test wavefronts with 0.7 D axial separation, the retrieved mean axial separation was 0.70 D with standard deviations (S.D.) of 0.002 D. The global algorithm was robust for bi-layer separation up to 2 dioptres for a typical SH wavefront sensor design. The global algorithm accurately recovered Zernike coefficients for mean defocus and bi-layer separation with maximum error <0.1%. Resultsīoth methods recovered higher order aberrations accurately and precisely, but only the global algorithm correctly recovered the defocus coefficients associated with each layer of fundus reflection. The novel ‘global’ method iteratively adjusted the aberration coefficients derived from conventional centroid analysis until the SH image, when treated as a unitary picture, optimally matched the original data image. The conventional method determines the centroid of each spot in the SH data image, from which wavefront slopes are computed for least-squares fitting with derivatives of Zernike polynomials.
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The Shack–Hartmann wavefront sensor was simulated by computer software and used to recover by two methods the known wavefront aberrations expected from a population of normally-aberrated human eyes and bi-layer fundus reflection.
We developed a novel computational method to investigate this potential failure of conventional analysis. In fact, the biological fundus is a thick reflector and therefore conventional analysis may produce errors of unknown magnitude. Conventional aberration analysis by a Shack–Hartmann aberrometer is based on the implicit assumption that an injected probe beam reflects from a single fundus layer.
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