All‐Optical Phase Recovery: Diffractive Computing for Quantitative Phase Imaging

Quantitative Phase Imaging

An improved ptychographical phase retrieval algorithm for diffractive imaging.

The ptychographical iterative engine (or PIE) is a recently developed phase retrieval algorithm that employs a series of diffraction patterns recorded as a known illumination function is translated to a set of overlapping positions relative to a target sample. The technique has been demonstrated successfully at optical and X-ray wavelengths and has been shown to be robust to detector noise and ...

Quantitative Phase Shift Variance Imaging

Molecular ultrasound imaging is based on the detection of contrast agents (microbubbles) targeted to disease specific receptors in the vasculature. By quantifying the amount of the adherent microbubbles a change in the expression of these receptors and thus the disease development can be assessed. Quantification of microbubbles from ultrasound images in vivo was thus far mainly performed by ana...

Coded aperture pair for quantitative phase imaging.

This Letter proposes a novel quantitative phase-imaging approach by optically encoding light fields into a complementary image pair followed by computational reconstruction. We demonstrate that the axial intensity derivative for phase recovery can be well estimated by a coded-aperture image pair without z axial scanning. The experimental results demonstrate that our approach can achieve higher ...

Diffractive generalized phase contrast for adaptive phase imaging and optical security.

We analyze the properties of Generalized Phase Contrast (GPC) when the input phase modulation is implemented using diffractive gratings. In GPC applications for patterned illumination, the use of a dynamic diffractive optical element for encoding the GPC input phase allows for on-the-fly optimization of the input aperture parameters according to desired output characteristics. For wavefront sen...