Contents
2025
Volume: 2 Issue 2
3 Article(s)
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Comments on high-speed mesoscale light-field microscopy
Euiheon Chung, Youngseung Yoo, Christine H. Hwang, and Ki Hean Kim
Advanced Imaging
- Publication Date: Apr. 17, 2025
- Vol. 2, Issue 2, 023001 (2025)
Research Article
Self-supervised PSF-informed deep learning enables real-time deconvolution for optical coherence tomography
Weiyi Zhang, Haoran Zhang, Qi Lan, Chang Liu, Zheng Li, Chengfu Gu, and Jianlong Yang
Deconvolution is a computational technique in imaging to reduce the blurring effects caused by the point spread function (PSF). In the context of optical coherence tomography (OCT) imaging, traditional deconvolution methods are limited by the time costs of iterative algorithms, and supervised learning approaches face cDeconvolution is a computational technique in imaging to reduce the blurring effects caused by the point spread function (PSF). In the context of optical coherence tomography (OCT) imaging, traditional deconvolution methods are limited by the time costs of iterative algorithms, and supervised learning approaches face challenges due to the difficulty in obtaining paired pre- and post-convolution datasets. Here we introduce a self-supervised deep-learning framework for real-time OCT image deconvolution. The framework combines denoising pre-processing, blind PSF estimation, and sparse deconvolution to enhance the resolution and contrast of OCT imaging, using only noisy B-scans as input. It has been tested under diverse imaging conditions, demonstrating adaptability to various wavebands and scenarios without requiring experimental ground truth or additional data. We also propose a lightweight deep neural network that achieves high efficiency, enabling millisecond-level inference. Our work demonstrates the potential for real-time deconvolution in OCT devices, thereby enhancing diagnostic and inspection capabilities..
Advanced Imaging
- Publication Date: Mar. 18, 2025
- Vol. 2, Issue 2, 021001 (2025)
100 fps single-pixel imaging illuminated by a Fermat spiral fiber laser array
Haolong Jia, Guozhong Lei, Wenhui Wang, Jingqi Liu, Jiaming Xu, Wenda Cui, Wenchang Lai, and Kai Han
Single-pixel imaging (SPI) uses modulated illumination light fields and the corresponding light intensities to reconstruct the image. The imaging speed of SPI is constrained by the refresh rate of the illumination light fields. Fiber laser arrays equipped with high-bandwidth electro-optic phase modulators can generate Single-pixel imaging (SPI) uses modulated illumination light fields and the corresponding light intensities to reconstruct the image. The imaging speed of SPI is constrained by the refresh rate of the illumination light fields. Fiber laser arrays equipped with high-bandwidth electro-optic phase modulators can generate illumination light fields with a refresh rate exceeding 100 MHz. This capability would improve the imaging speed of SPI. In this study, a Fermat spiral fiber laser array was employed as the illumination light source to achieve high-quality and rapid SPI. Compared to rectangular and hexagonal arrays, the non-periodic configuration of the Fermat spiral mitigates the occurrence of periodic artifacts in reconstructed images, thereby enhancing the imaging quality. A high-speed data synchronous acquisition system was designed to achieve a refresh rate of 20 kHz for the illumination light fields and to synchronize it with the light intensity acquisition. We achieved distinguishable imaging reconstructed by an untrained neural network (UNN) at a sampling ratio of 4.88%. An imaging frame rate of 100 frame/s (fps) was achieved with an image size of
Advanced Imaging
- Publication Date: Apr. 09, 2025
- Vol. 2, Issue 2, 021002 (2025)
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