Huygens Deconvolution is optimized for fast performance without compromising quality. The exact computation time depends on several factors, including:
For more information on this, visit the GPU Benchmarks page.
- Microscope type: images from widefield microscopes tend to require more iterations than those from confocal or 2-photon microscopes.
- Object type: sparse objects can be restored more effectively than dense objects. The more resolution gain is possible, the more iterations are needed, even if the iterations themselves also become more effective ('bigger steps').
- Noise: low noise makes a large resolution gain possible so then more iterations are needed.
- Algorithm: our Good's Rougnness MLE (Maximum Likelihood Estimation) needs less time than our Classic MLE; see Deconvolution Algorithms.
- Hardware: the number and type of CPU processors and GPU cards influence performance. Additionally, if the memory is insufficient, the processing speed depends on the type and specifications of virtual memory, as well as I/O performance.
For more information on this, visit the GPU Benchmarks page.