239 citations · 428 across the 13 of their papers we have counts for
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FourierNets enable the design of highly non-local optical encoders for computational imaging
Diptodip Deb, Zhenfei Jiao, Ruth Sims +5
Differentiable simulations of optical systems can be combined with deep learning-based reconstruction networks to enable high performance computational imaging via end-to-end (E2E)…
Learning Guided Electron Microscopy with Active Acquisition
Lu Mi, Hao Wang, Yaron Meirovitch +5
Single-beam scanning electron microscopes (SEM) are widely used to acquire massive data sets for biomedical study, material analysis, and fabrication inspection. Datasets are typic…
Teaching deep neural networks to localize single molecules for super-resolution microscopy
Artur Speiser, Lucas-Raphael Müller, Ulf Matti +5
Single-molecule localization fluorescence microscopy constructs super-resolution images by sequential imaging and computational localization of sparsely activated fluorophores. Acc…