paper-with-me

홈 › Papers

Single-pixel coherent diffraction imaging

2020-03-30

Complex-field imaging is indispensable for numerous applications at wavelengths from X-ray to THz, with amplitude describing transmittance (or reflectivity) and phase revealing intrinsic structure of the target object. Coherent diffraction imaging (CDI) employs iterative phase retrieval algorithms to process diffraction measurements and is the predominant non-interferometric method to image complex fields. However, the working spectrum of CDI is quite narrow, because the diffraction measurements on which it relies require dense array detection with ultra-high dynamic range. Here we report a single-pixel CDI technique that works for a wide waveband. A single-pixel detector instead of an array sensor is employed in the far field for detection. It repeatedly records the DC-only component of the diffracted wavefront scattered from an object as it is illuminated by a sequence of binary modulation patterns. This decreases the measurements' dynamic range by several orders of magnitude. We employ an efficient single-pixel phase-retrieval algorithm to jointly recover the object's 2D amplitude and phase maps from the 1D intensity-only measurements. No a priori object information is needed in the recovery process. We validate the technique's quantitative phase imaging nature using both calibrated phase objects and biological samples, and demonstrate its wide working spectrum with both 488-nm visible light and 980-nm near-infrared light. Our approach paves the way for complex-field imaging in a wider waveband where 2D detector arrays are not available, with broad applications in life and material sciences.

📄 PDF Abstract BibTeX arXiv:2003.14237

Code (0)

등록된 구현이 없습니다.

Tasks

Retrieval

Similar Papers 제목 키워드 기반

Deep learning-based super-resolution in coherent imaging systems

2018-10-15 · Tairan Liu, Kevin De Haan, Yair Rivenson, Zhensong Wei 외

We present a deep learning framework based on a generative adversarial network (GAN) to perform super-resolution in coherent imaging systems. We demonstrate that this framework can enhance the resolution of both pixel si…

Deep LearningGenerative Adversarial NetworkImage ReconstructionSuper-Resolution

Dual-Reference Design for Holographic Coherent Diffraction Imaging

2019-02-07 · David A. Barmherzig, Ju Sun, Emmanuel J. Candès, T. J. Lane 외

A new reference design is introduced for holographic coherent diffraction imaging. This consists in two references - "block" and "pinhole" shaped regions - placed adjacent to the imaging specimen. An efficient recovery a…

Retrieval

Toward Long Distance, Sub-diffraction Imaging Using Coherent Camera Arrays

2015-10-28 · Jason Holloway, M. Salman Asif, Manoj Kumar Sharma, Nathan Matsuda 외

In this work, we propose using camera arrays coupled with coherent illumination as an effective method of improving spatial resolution in long distance images by a factor of ten and beyond. Recent advances in ptychograph…

RetrievalTranslation

Sub-diffraction terahertz backpropagation compressive imaging

2025-05-05 · Yongsheng Zhu, Shaojing Liu, Ximiao Wang, Runli Li 외

Terahertz single-pixel imaging (TSPI) has garnered significant attention due to its simplicity and cost-effectiveness. However, the relatively long wavelength of THz waves limits sub-diffraction-scale imaging resolution.…

Real-time coherent diffraction inversion using deep generative networks

2018-06-07 · Mathew J. Cherukara, Youssef S. G. Nashed, Ross J. Harder

Phase retrieval, or the process of recovering phase information in reciprocal space to reconstruct images from measured intensity alone, is the underlying basis to a variety of imaging applications including coherent dif…

Retrieval