2013
DOI: 10.1364/oe.21.015131
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Characterization of spatially varying aberrations for wide field-of-view microscopy

Abstract: Abstract:We describe a simple and robust approach for characterizing the spatially varying pupil aberrations of microscopy systems. In our demonstration with a standard microscope, we derive the locationdependent pupil transfer functions by first capturing multiple intensity images at different defocus settings. Next, a generalized pattern search algorithm is applied to recover the complex pupil functions at ~350 different spatial locations over the entire field-of-view. Parameter fitting transforms these pupi… Show more

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Cited by 67 publications
(64 citation statements)
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“…However, because the phase retrieval algorithm only renews the sample spectrum while keeping the pupil function unchanged, an imprecisely estimated pupil function will result in a poor recovery. Such inaccuracy in the pupil function estimation can be caused by the limited orders of aberration considered in pre-characterization process [3] or by mechanical or optical changes in the microscopy system.…”
Section: Reconstruction Algorithmmentioning
confidence: 99%
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“…However, because the phase retrieval algorithm only renews the sample spectrum while keeping the pupil function unchanged, an imprecisely estimated pupil function will result in a poor recovery. Such inaccuracy in the pupil function estimation can be caused by the limited orders of aberration considered in pre-characterization process [3] or by mechanical or optical changes in the microscopy system.…”
Section: Reconstruction Algorithmmentioning
confidence: 99%
“…For a large FOV microscope system, the aberration and, by extension, pupil function can be expected to show spatial variations [3,24]. To ensure the effectiveness of the EPRY-FPM algorithm, we segment the entire FOV into small tiles where in each tile the aberration can be considered as constant [1,3].…”
Section: Epry-fpm For Large Fov High Resolution Image Reconstructionmentioning
confidence: 99%
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