Wavefront sensors are usually based on measuring the wavefront derivatives. The most commonly used approach to quantitatively reconstruct the wavefront uses discrete Fourier transform, which leads to artifacts when phase objects are located at the image borders. We propose here a simple approach to avoid these artifacts based on the duplication and antisymmetrization of the derivatives data, in the derivative direction, before integration. This approach completely erases the border effects by creating continuity and differentiability at the edge of the image. We finally compare this corrected approach to the literature on model images and quantitative phase images of biological microscopic samples, and discuss the effects of the artifacts on the particular application of dry mass measurements.

Pierre Bon

Serge Monneret

Benoit Wattellier

Applied Optics

在光学、光子学、成像和传感领域提供以应用为中心的研究的光学领域的每个人都必须阅读一本备受推崇的优质书籍。与该期刊密切相关的主题包括光学技术、激光、光子学、环境光学和信息处理。

Applied Optics is a prestigious journal that provides application-oriented research in the fields of optics, photonics, imaging, and sensing, making it a must-read for everyone in the optics community. Related topics include optical technologies, lasers, photonics, environmental optics, and information processing.

《Applied Optics》是一本在光学、光子学、成像和传感领域提供应用研究的权威期刊，深受光学领域研究者的推崇。期刊涵盖的相关主题包括光学技术、激光、光子学、环境光学和信息处理等。

Noniterative boundary-artifact-free wavefront reconstruction from its derivatives

A simple approach to avoid artifacts based on the duplication and antisymmetrization of the derivatives data, in the derivative direction, before integration is proposed, which completely erases the border effects by creating continuity and differentiability at the edge of the image.

Category	Quartile
工程技术	4
工程技术, 光学	4

Noniterative boundary-artifact-free wavefront reconstruction from its derivatives

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