Characterization of thick and contact lenses using an adaptive Shack–Hartmann wavefront sensor: Limitations and solutions

Abdelazeem, Rania M.; Ahmed, Mahmoud M.A.; Agour, Mostafa

doi:10.1016/j.ijleo.2023.170922

Cited by 9 publications

(1 citation statement)

References 29 publications

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“…As wavefront sensors have evolved technically, so have their fields of application. The characterisation of lenses [ 25 ], lasers [ 26 ], ophthalmic diseases such as keratoconus [ 27 , 28 ], microscopy [ 29 ] or medicine [ 30 ] are just some of the current and future applications of wavefront sensors. In all these applications it will be convenient to use the highest possible resolution within the largest possible field of view, since in terms of computer vision we have moved from determining the low frequencies required for atmospheric correction to determining high frequencies, which are necessary to elucidate small details within an image.…”

Section: Introductionmentioning

confidence: 99%

Real-Time Wavefront Sensing at High Resolution with an Electrically Tunable Lens

Oliva-García

Cairós

Trujillo-Sevilla

et al. 2023

Sensors

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We have designed, assembled, and evaluated a compact instrument capable of capturing the wavefront phase in real time, across various scenarios. Our approach simplifies the optical setup and configuration, which reduces the conventional capture and computation time when compared to other methods that use two defocused images. We evaluated the feasibility of using an electrically tunable lens in our camera by addressing its issues and optimizing its performance. Additionally, we conducted a comparison study between our approach and a Shack–Hartmann sensor. The camera was tested on multiple targets, such as deformable mirrors, lenses with aberrations, and a liquid lens in movement. Working at the highest resolution of the CMOS sensor with a small effective pixel size enables us to achieve the maximum level of detail in lateral resolution, leading to increased sensitivity to high-spatial-frequency signals.

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