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wavefront sensing

Using Artificial Intelligence and Novel Polynomials to Predict Subjective Refraction. Rampat R, Debellemanière G, Malet J, Gatinel D. Sci Rep 10, 8565 (2020)

Here we present a synopsis of our study, where machine learning using wavefront data processed with a new polynomial decomposition basis is leading to accurate and precise prediction of spectacle correction.   The paper is available here: https://www.nature.com/articles/s41598-020-65417-y Optical wavefront sensing using aberrometry is an objective method that allows mathematical reconstruction and analysis of lower […]

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An Alternative Wavefront Reconstruction Method for Human Eyes. Gatinel D, Rampat R, Dumas L, Malet J. Journal of Refractive Surgery, Février 2019

Cet article expose le bénéfice attendu en pratique clinique du choix d’une nouvelle base de modes d’aberrations pour la description des aberrations optiques de l’oeil humain. Il est accessibles sur le lien suivant: Alternative wavefront reconstruction for human eyes Plusieurs pages du site sont consacrées à ce thème: Novel Wavefront Decomposition Method

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Aberrations in keratoconus

In patients complaining of a reduction in optical quality, aberrometry is a key investigation. It offers the possibility to segregate between low order aberrations, which can be corrected by spectacles, and higher-order aberrations, which explain most of the visual disturbances that persist despite spectacle correction. However, as we will see in this example of a […]

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