Extended Data Fig. 6: Comparison of computation times.
From: Deep learning enables fast and dense single-molecule localization with high accuracy
a) Measured as the time it takes to analyze a 64 × 64 pixel frame with varying emitter densities. Trained DECODE and DeepSTORM3D models were evaluated using a NVIDIA RTX2080Ti GPU. Computation time includes the network forward pass and postprocessing and does not include training time. CSpline was evaluated on an Intel(R)Xeon(R) CPU E5-2697 v3. b) Computation time per simulated emitter. The computation time of CSpline scales with the number emitters while the two deep learning based approaches scale with the number (and size) of the analyzed frames. GPU-based DECODE is about 20 times faster than GPU-based DeepSTORM3D and outperforms CPU-based CSpline even at low densities.
