do: A differentiable engine for deep lens design of computational imaging systems
Computational imaging systems algorithmically post-process acquisition images either to
reveal physical quantities of interest or to increase image quality, eg, deblurring. Designing …
reveal physical quantities of interest or to increase image quality, eg, deblurring. Designing …
Curriculum learning for ab initio deep learned refractive optics
Deep optical optimization has recently emerged as a new paradigm for designing
computational imaging systems using only the output image as the objective. However, it …
computational imaging systems using only the output image as the objective. However, it …
Dual-view transport of intensity phase imaging devices for quantitative phase microscopy applications
S Wang, H Huang, A Sun, L Zhu, W Guo, K Yan… - Sensors & …, 2024 - pubs.rsc.org
Because phase has significantly higher contrast than amplitude, particularly for label-free
specimens, and provides a new perspective for morphology and shape testing, quantitative …
specimens, and provides a new perspective for morphology and shape testing, quantitative …
Enhanced neuroimaging with a calcium sensor in ex-vivo Drosophila melanogaster brains using closed-loop adaptive optics light-sheet fluorescence microscopy
Significance Adaptive optics (AO) has been implemented on several microscopy setups and
has proven its ability to increase both signal and resolution. However, reported …
has proven its ability to increase both signal and resolution. However, reported …
Diffuser-based computational imaging funduscope
Poor access to eye care is a major global challenge that could be ameliorated by low-cost,
portable, and easy-to-use diagnostic technologies. Diffuser-based imaging has the potential …
portable, and easy-to-use diagnostic technologies. Diffuser-based imaging has the potential …
Wavefront sensing using deep learning for Shack Hartmann and pyramidal sensors
The use of Deep Learning in wavefront sensing has become a tremendous tool that
provides an innovative approach to estimate the phase of an aberrated wavefront. Different …
provides an innovative approach to estimate the phase of an aberrated wavefront. Different …
Enhanced neuroimaging with a calcium sensor in the live adult Drosophila Melanogaster brain using closed-loop adaptive optics light-sheet microscopy
We report on an Adaptive Optics (AO) Light-Sheet Fluorescence Microscope compatible with
neuroimaging, based on direct wavefront sensing without the requirement of a guide star …
neuroimaging, based on direct wavefront sensing without the requirement of a guide star …
Computational Optical Sensing and Imaging 2021: introduction to the feature issue
This feature issue includes two reviews and 34 research papers that highlight recent works
in the field of computational optical sensing and imaging. Many of the works were presented …
in the field of computational optical sensing and imaging. Many of the works were presented …
Computational Optical Sensing and Imaging: feature issue introduction
This Feature Issue includes 19 articles that highlight advances in the field of Computational
Optical Sensing and Imaging. Many of the articles were presented at the 2019 OSA Topical …
Optical Sensing and Imaging. Many of the articles were presented at the 2019 OSA Topical …
Robust deep learning for computational imaging through random optics
Y Li - 2023 - search.proquest.com
Light scattering is a pervasive phenomenon that poses outstanding challenges in both
coherent and incoherent imaging systems. The output of a coherent light scattered from a …
coherent and incoherent imaging systems. The output of a coherent light scattered from a …