Paper · arXiv
Training Neural Networks to Approach the Optimum Bayes Estimator in Dense Multi-Emitter Localization
We train neural networks on synthesized frames to approach the optimum Bayes estimator for dense emitter localization. The result justifies the future work on training neural networks to achieve high-throughput large-FOV super spatiotemporal resolution SMLM.
| Authors | Yi Sun, Mona Sharifi, Muzna Yumman |
|---|---|
| Primary category | cs.LG |
| Published | 17 September 2026 |
| Last updated at source | 17 September 2026 |
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