Huygens Localizer GPU acceleration:
Why wait? Accelerate your SMLM research now by using the power of the GPU!
*Acceleration Factor with respect to an Intel Core i5-8400 CPU (which has an acceleration factor of 1).
Reliable and high-quality
Reliable high-quality results, including drift correction. Just like Huygens GPU deconvolution, only now for SMLM data!
Extremely fast
Save precious time in your image post-processing workflow by accelerated SMLM Localization.
GPU visualization
Visualize your SMLM data with GPU accelarated Localizer Viewer and Object Analyzer Basic.
Huygens GPU localization: Fast high-quality results!
The Huygens Software is well known for its fast processing and high-quality deconvolution results. For the Localizer we are archieving the same goal: accelarate with the GPU the SMLM data processing. Realize amazing localizations results within seconds using high-end NVIDIA GPU cards and the powerful Huygens localizations algorithms. The unique brick-splitting possibility is also available in the GPU mode, enabling you to localize very large files on the GPU, even with cards with limited video-RAM. After localization, use the GPU accelarated drift corrector to get fast your final result.
GPU cardsDownload Now!
CPU vs GPU: what's the difference?
The Central Processing Unit (CPU) often consists of multiple individual Cores (typical 2-16 cores per CPU). The different cores can process different tasks in parallel. By using multiple cores in parallel this can speed up processes, such as localization. The Graphic Processing Unit (GPU) was primarily designed for handling graphics processing, notably in the gaming industry. The rapid development in GPUs over the past few years has led to powerful GPU cards that at present contain hundreds to thousands of individual cores per chip. In addition, current cards contain a significant amount of onboard video-RAM. In combination with the NVIDIA CUDA programming model, this has made the NVIDIA GPUs extremely suitable for performance increase in scientific computations. The Huygens localization can combine the processing of NVIDIA CUDA GPUs with CPU processing to accelerate the Huygens localization significantly.
GPU acceleration: How does GPU acceleration work?
With GPU acceleration, a small section of the application code that requires significant computation time is run on the GPU, while the remainder of the code is run on the CPU. The GPU consists of hundreds or even thousand of separate processing units (cores), thereby making it extremely efficient and fast to process compute intensive code. From the start of the Huygens Localizer, we have embraced the possibility to utilize these powerful NVIDIA CUDA enabled GPU's to accelerate the Huygens localization.
Accelerated for the Huygens Localizer with GPU (CUDA) | |
|---|---|
| Localization algorithms | |
| MLE particle fitting | |
| LSQ particle fitting | |
| Center of mass particle fitting | |
| Registration | |
| Drift correction | |
| Chromatic Aberration Corrector | |
| Visualization & Analysis | |
| 2D slice renderers | |
| 3D SFP renderer | Since v.19.04 |
| 3D MIP renderer | Since v.19.04 |
| 3D Surface renderer | Since v.19.04 |
| Colocalization Analysis |
Get started: Experience the acceleration yourself!
Why wait? Experience the significant performance increase yourself, and request a free trial license to try out the Huygens GPU acceleration option. We offer different options that can be added to your Huygens license, depending on the performance of your NVIDIA GPU card (compute capability 3.0 or higher is required):
A list of cards that can be used for each of these options can be found here. Click here for detailed instructions on how to get started with the Huygens GPU acceleration. You can find a GPU checklist at this webpage. You can also request a quote or contact us for more information about the option best suited for your hardware and image processing needs.
Request QuoteDownload Now!