Journal Article10.1364/AO.45.008596
Complete wavefront reconstruction using sequential intensity measurements of a volume speckle field
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TL;DR: Analysis of transverse and longitudinal intensity distributions of a volume speckle field for the SBMIR technique is presented and enhancement of the resolution method by shifting the camera a distance of a half-pixel in the lateral direction improves the sampling of Speckle patterns and leads to better quality reconstructions.
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Abstract: The recording of the volume speckle field from an object at different planes combined with the wave propagation equation allows the reconstruction of the wavefront phase and amplitude without requiring a reference wave. The main advantage of this single-beam multiple-intensity reconstruction (SBMIR) technique is the simple experimental setup because no reference wave is required as in the case of holography. The phase retrieval technique is applied to the investigation of diffusely transmitting and reflecting objects. The effects of different parameters on the quality of reconstructions are investigated by simulation and experiment. Significant enhancements of the reconstructions are observed when the number of intensity measurements is 15 or more and the sequential measurement distance is 0.5 mm or larger. Performing two iterations during the reconstruction process using the calculated phase also leads to better reconstruction. The results from computer simulations confirm the experiments. Analysis of transverse and longitudinal intensity distributions of a volume speckle field for the SBMIR technique is presented. Enhancing the resolution method by shifting the camera a distance of a half-pixel in the lateral direction improves the sampling of speckle patterns and leads to better quality reconstructions. This allows the possibility of recording wave fields from larger test objects.
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Citations
Transport of intensity equation: a tutorial
Chao Zuo,Jiaji Li,Jiasong Sun,Fan Yao,Jialin Zhang,Linpeng Lu,Runnan Zhang,Bowen Wang,Lei Huang,Chen Qian +9 more
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TL;DR: The performance of a computational lens-free, holographic on-chip microscope that uses the transport-of-intensity equation, multi-height iterative phase retrieval, and rotational field transformations to perform wide-FOV imaging of pathology samples with comparable image quality to a traditional transmission lens-based microscope is illustrated.
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Synthetic aperture-based on-chip microscopy
TL;DR: In this article, a synthetic aperture-based on-chip microscope was proposed to achieve a very large effective numerical aperture of 1.4 over a field-of-view (FOV) of >20 mm2.
Extended depth-of-field in holographic imaging using deep-learning-based autofocusing and phase recovery
Yichen Wu,Yair Rivenson,Yibo Zhang,Zhensong Wei,Harun Gunaydin,Xing Lin,Aydogan Ozcan +6 more
- 20 Jun 2018
TL;DR: A convolutional neural network based approach that simultaneously performs auto-focusing and phase-recovery to significantly extend the depth-of-field (DOF) in holographic image reconstruction and can be broadly applicable to computationally extend the DOF of other imaging modalities.
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Extended depth-of-field in holographic image reconstruction using deep learning based auto-focusing and phase-recovery.
TL;DR: In this paper, a CNN is trained by using pairs of randomly de-focused back-propagated holograms and their corresponding in-focus phase-recovered images, and then the CNN takes a single backpropagation hologram of a 3D sample as input to rapidly achieve phase-recovery and reconstruct an in focus image of the sample over a significantly extended DOF.
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References
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TL;DR: Iterative algorithms for phase retrieval from intensity data are compared to gradient search methods and it is shown that both the error-reduction algorithm for the problem of a single intensity measurement and the Gerchberg-Saxton algorithm forThe problem of two intensity measurements converge.
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•Journal Article
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TL;DR: In this article, an algorithm is presented for the rapid solution of the phase of the complete wave function whose intensity in the diffraction and imaging planes of an imaging system are known.
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TL;DR: A new method for the extraction of quantitative phase data from microscopic phase samples by use of partially coherent illumination and an ordinary transmission microscope is presented, able to recover phase even in the presence of amplitude modulation.
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TL;DR: The Yang-Gu algorithm is a generalization of the Gerchberg-Saxton algorithm and is effective in solving the general amplitude-phase-retrieval problem in any linear unitary or nonunitary transform system.
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