639 citations · 666 across the 6 of their papers we have counts for
6 papers
Deeper detection limits in astronomical imaging using self-supervised spatiotemporal denoising
Yuduo Guo, Hao Zhang, Mingyu Li +10
The detection limit of astronomical imaging observations is limited by several noise sources. Some of that noise is correlated between neighbouring image pixels and exposures, so i…
Roadmap on Neuromorphic Photonics
Daniel Brunner, Bhavin J. Shastri, Mohammed A. Al Qadasi +147
This roadmap consolidates recent advances while exploring emerging applications, reflecting the remarkable diversity of hardware platforms, neuromorphic concepts, and implementatio…
PNR: Physics-informed Neural Representation for high-resolution LFM reconstruction
Jiayin Zhao, Zhifeng Zhao, Jiamin Wu +2
Light field microscopy (LFM) has been widely utilized in various fields for its capability to efficiently capture high-resolution 3D scenes. Despite the rapid advancements in neura…
Photonic unsupervised learning processor for secure and high-throughput optical fiber communication
Yitong Chen, Tiankuang Zhou, Jiamin Wu +4
Following the explosive growth of global data, there is an ever-increasing demand for high-throughput optical fiber communication (OFC) systems to perform massive data transmission…
Large-scale neuromorphic optoelectronic computing with a reconfigurable diffractive processing unit
Tiankuang Zhou, Xing Lin, Jiamin Wu +7
Application-specific optical processors have been considered disruptive technologies for modern computing that can fundamentally accelerate the development of artificial intelligen…
Fast 3D cell tracking with wide-field fluorescence microscopy through deep learning
Kan Liu, Hui Qiao, Jiamin Wu +3
Tracking cells in 3D at high speed continues to attract extensive attention for many biomedical applications, such as monitoring immune cell migration and observing tumor metastasi…