Advanced Photonics, Volume. 7, Issue 2, 026001(2025)
Single-shot volumetric fluorescence imaging with neural fields
[31] A. C. Kak, M. Slaney. Principles of Computerized Tomographic Imaging(2001).
[33] J. J. Park et al. DeepSDF: learning continuous signed distance functions for shape representation, 165-174(2019).
[36] S. Xie et al. Diner: disorder-invariant implicit neural representation, 6143-6152(2023).
[42] M. Hui et al. Microdiffusion: implicit representation-guided diffusion for 3D reconstruction from limited 2D microscopy projections, 11460-11469(2024).
[43] M. Born, E. Wolf. Principles of Optics: Electromagnetic Theory of Propagation, Interference and Diffraction of Light(2013).
[46] L. Novotny, B. Hecht. Principles of Nano-Optics(2012).
[49] I. Loshchilov, F. Hutter. Decoupled weight decay regularization(2017).
[50] C.-Y. Fu, M. Shvets, A. C. Berg. Retinamask: Learning to predict masks improves state-of-the-art single-shot detection for free(2019).
[51] M. Tancik et al. Fourier features let networks learn high frequency functions in low dimensional domains, 7537-7547(2020).
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Oumeng Zhang, Haowen Zhou, Brandon Y. Feng, Elin M. Larsson, Reinaldo E. Alcalde, Siyuan Yin, Catherine Deng, Changhuei Yang, "Single-shot volumetric fluorescence imaging with neural fields," Adv. Photon. 7, 026001 (2025)
Category: Research Articles
Received: Aug. 23, 2024
Accepted: Jan. 24, 2025
Posted: Jan. 24, 2025
Published Online: Feb. 26, 2025
The Author Email: Zhang Oumeng (ozhang@caltech.edu)