ArticleNature methods2021
The promise and peril of deep learning in microscopy.
Article in Nature methods, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
26 citing papers in PubMed.
- Untrained Position-Encoded Multilayer Perceptron Network for Structured Illumination Microscopy Reconstruction.Chemical & biomedical imaging · 2026Article
- Self-adaptive fine-tuning of deep learning super-resolution microscopy for artifact suppression in live-cell imaging.Innovation (Cambridge (Mass.)) · 2026Article
- High-speed blind structured illumination microscopy via unsupervised algorithm unrolling.Nature communications · 2026Article
- A neural network for long-term super-resolution imaging of live cells with reliable confidence quantification.Nature biotechnology · 2026Article
- Bayesian deep-learning structured illumination microscopy enables reliable super-resolution imaging with uncertainty quantification.Nature communications · 2025Article
- Fast-adaptive super-resolution lattice light-sheet microscopy for rapid, long-term, near-isotropic subcellular imaging.Nature methods · 2025Article
- Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems.Transactions on machine learning research · 2025Article
- Computational Super-Resolution: An Odyssey in Harnessing Priors to Enhance Optical Microscopy Resolution.Analytical chemistry · 2025Review
- Multi-Sensor Learning Enables Information Transfer Across Different Sensory Data and Augments Multi-Modality Imaging.IEEE transactions on pattern analysis and machine intelligence · 2025Article
- The dry lab microscopist or prompt microscopist: do we need them?Biophysical reviews · 2024Review
- Learning a stable approximation of an existing but unknown inverse mapping: application to the half-time circular Radon transform.Inverse problems · 2024Article
- Dynamic label-free analysis of SARS-CoV-2 infection reveals virus-induced subcellular remodeling.Nature communications · 2024Article
- Reconstructing interpretable features in computational super-resolution microscopy via regularized latent search.Biological imaging · 2024Article
- pcaGAN: Improving Posterior-Sampling cGANs via Principal Component Regularization.Advances in neural information processing systems · 2024Article
- Temporal focusing multiphoton microscopy with cross-modality multi-stage 3D U-Net for fast and clear bioimaging.Biomedical optics express · 2023Article
- Resolution enhancement with a task-assisted GAN to guide optical nanoscopy image analysis and acquisition.Nature machine intelligence · 2023Article
- Deep-E Enhanced Photoacoustic Tomography Using Three-Dimensional Reconstruction for High-Quality Vascular Imaging.Sensors (Basel, Switzerland) · 2022Article
- Sparse deconvolution improves the resolution of live-cell super-resolution fluorescence microscopy.Nature biotechnology · 2022Article
- The difficulty of computing stable and accurate neural networks: On the barriers of deep learning and Smale's 18th problem.Proceedings of the National Academy of Sciences of the United States of America · 2022Article
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.