Three filters for visualization of phase objects with large variations of phase gradients

Sagan, Arkadiusz; Antosiewicz, Tomasz J.; Szoplik, Tomasz

doi:10.1364/ao.48.001143

Cited by 4 publications

(2 citation statements)

References 19 publications

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“…The whole process of examining the phase object can be described in the following way [22][23][24][25] . The distorted wavefront is directed to the first lens (L1 - Figure 1a).…”

Section: Amplitude Semiderivative Real Filtermentioning

confidence: 99%

Semi-derivative real filter for the measurement of the wavefront distortion

Kasztelanic

Barański

2010

SPIE Proceedings

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The paper deals with a computer simulation and an experimental realization of a new kind of an optical setup for simple and fast control of the wavefront distortion. The method is based on a 4f coherent light correlator setup with a semiderivative real filter placed in the Fourier plane. In the setup described the distorted wavefront passes through the filter located in the frequency plane of the correlator. In the output plane a camera registers the intensity of light whose gradient carries information about the shape of the wavefront distortion. The output image is simple to analyze and interpret because the intensity is directly proportional to the first derivative of the distortion of the input wavefront.The role of the computer simulations presented in the paper was, first of all, to check how the semiderivative real filter deals with various kinds and levels of distortions. Secondly, it was to estimate how the technical limitations of the filter and the setup can influence the quality of the results obtained.The experiment checked the possibility of using the setup for examining the distortion of wavefront caused by hot air. The experimental results obtained show that the method is suitable and effective for real-time monitoring of the distortion of the wavefront, which allows for its use in adaptive optics and phase visualization. The method also allows for measuring other phase objects where the gradient of the phase and the thickness of the object undergo abrupt changes.

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“…The whole process of examining the phase object can be described in the following way [22][23][24][25] . The distorted wavefront is directed to the first lens (L1 - Figure 1a).…”

Section: Amplitude Semiderivative Real Filtermentioning

confidence: 99%

Semi-derivative real filter for the measurement of the wavefront distortion

Kasztelanic

Barański

2010

SPIE Proceedings

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“…16) In addition, the periodic filter had verified high-resolution imaging without scanning in the visible spectrum. 17) In this study, even though monodirectional scanning is carried out by the 2D periodic knife-edge filter, it acquires the essential features of the bidirectional scanning and the periodic filter in the visible-light Schlieren system, simultaneously. The image-taking procedure of the proposed 2DFK scanning method is schematically illustrated in Fig.…”

mentioning

confidence: 99%

X-ray Phase Imaging Microscopy with Two-Dimensional Knife-Edge Filters

Choi

Park

2012

Appl. Phys. Express

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A novel scheme of X-ray differential phase imaging was implemented with an array source and a two-dimensional Foucault knife-edge (2DFK). A pinhole array lens was employed to manipulate the X-ray beam on the Fourier space. An emerging biaxial scanning procedure was also demonstrated with the periodic 2DFK. The differential phase images (DPIs) of the midrib in a leaf of a rose bush were visualized to verify the phase imaging of biological specimens by the proposed method. It also has features of depicting multiple-stack phase images, and rendering morphological DPIs, because it acquires pure phase information.

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Optical differentiation wavefront sensing with binary pixelated transmission filters

Qiao

Mulhollan

Dorrer³

2016

Opt. Express

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Sensors measuring the spatial phase of optical waves are widely used in optics. The optical differentiation wavefront sensor (ODWS) reconstructs the wavefront of an optical wave from wavefront slope measurements obtained by inducing linear field-transmission gradients in the far-field. Its dynamic range and sensitivity can be adjusted simply by changing the gradient slope. We numerically and experimentally demonstrate the possibility of implementing the spatially varying transmission gradient using distributions of small pixels that are either transparent or opaque. Binary pixelated filters are achromatic and can be fabricated with high accuracy at relatively low cost using commercial lithography techniques. We study the impact of the noise resulting from pixelation and binarization of the far-field filter for various test wavefronts and sensor parameters. The induced wavefront error is approximately inversely proportional to the pixel size. For an ODWS with dynamic range of 100 rad/mm over a 1-cm pupil, the error is smaller than λ/15 for a wide range of test wavefronts when using 2.5-μm pixels. We experimentally demonstrate the accuracy and consistency of a first-generation ODWS based on binary pixelated filters.

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Three filters for visualization of phase objects with large variations of phase gradients

Cited by 4 publications

References 19 publications

Semi-derivative real filter for the measurement of the wavefront distortion

Semi-derivative real filter for the measurement of the wavefront distortion

X-ray Phase Imaging Microscopy with Two-Dimensional Knife-Edge Filters

Optical differentiation wavefront sensing with binary pixelated transmission filters

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