Multiplexed coded illumination for Fourier Ptychography with an LED array microscope.
TLDR
A multiplexed illumination strategy in which multiple randomly selected LEDs are turned on for each image so that the total number of images can be significantly reduced, without sacrificing image quality.Abstract:
Fourier Ptychography is a new computational microscopy technique that achieves gigapixel images with both wide field of view and high resolution in both phase and amplitude. The hardware setup involves a simple replacement of the microscope's illumination unit with a programmable LED array, allowing one to flexibly pattern illumination angles without any moving parts. In previous work, a series of low-resolution images was taken by sequentially turning on each single LED in the array, and the data were then combined to recover a bandwidth much higher than the one allowed by the original imaging system. Here, we demonstrate a multiplexed illumination strategy in which multiple randomly selected LEDs are turned on for each image. Since each LED corresponds to a different area of Fourier space, the total number of images can be significantly reduced, without sacrificing image quality. We demonstrate this method experimentally in a modified commercial microscope. Compared to sequential scanning, our multiplexed strategy achieves similar results with approximately an order of magnitude reduction in both acquisition time and data capture requirements.read more
Citations
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On the use of deep learning for computational imaging
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3D intensity and phase imaging from light field measurements in an LED array microscope
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Deep Learning Techniques for Inverse Problems in Imaging
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Phase Retrieval via Wirtinger Flow: Theory and Algorithms
TL;DR: This paper develops a nonconvex formulation of the phase retrieval problem as well as a concrete solution algorithm that is shown to rigorously allow the exact retrieval of phase information from a nearly minimal number of random measurements.
References
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An improved ptychographical phase retrieval algorithm for diffractive imaging.
Andrew Maiden,John M. Rodenburg +1 more
TL;DR: The PIE is extended so that the requirement for an accurate model of the illumination function is removed and the technique has been shown to be robust to detector noise and to converge considerably faster than support-based phase retrieval methods.
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A phase retrieval algorithm for shifting illumination
TL;DR: In this paper, a method of iterative phase retrieval that uses measured intensities in the diffraction plane to solve the phase problem in a way that bypasses the problem of lens aberration was proposed.
Journal ArticleDOI
Probe retrieval in ptychographic coherent diffractive imaging.
Pierre Thibault,Martin Dierolf,Martin Dierolf,Oliver Bunk,Andreas Menzel,Franz Pfeiffer,Franz Pfeiffer +6 more
TL;DR: A new reconstruction procedure that retrieves both the specimen's image and the illumination profile was recently demonstrated with hard X-ray data and is presented in greater details to illustrate its practical applicability with a visible light dataset.