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NEW! HUYGENS Localizer: pointing out accurate STORM/PALM/GSD/DNA PAINT processing at high speed!



*Video displays a real-time and GPU accelerated run with the HUYGENS Localizer wizard. The easy-to-use and interactive user interface offers a very convenient workflow, and with high CPU and GPU parallelization, all your SMLM data will be processed at high speed.
Image: Microtubules imaged with a Leica SR GSD. Courtesy: Marko Lampe (image acquisition) / Ulf Matti (sample preparation), EMBL Heidelberg, Germany.

Easy & Interactive

Designed for maximum ease-of-use and supports various localization data (STORM/PALM/GSD/DNA PAINT). Interactively optimize detection and pre/post processing settings, and obtain high-quality localization results in real-time.

Blazingly Fast

All processing is highly parallelized for both CPU and GPU, allowing tens-of-thousands of time-frames to be processed per minute and save precious time in your image post-processing workflow.

All-in-one SMLM package

Supports PALM, STORM, GSD, DNA PAINT data in various file-formats. Includes interactive pre- and post processing, various fitting algorithms, powerful background estimation methods, drift correction & interactive rendering and analysis.



HUYGENS Localizer: Interactive & Fast Localization Microscopy processing

The HUYGENS Localizer is a stand-alone software package for fast & high performance processing of Single Molecule Localization Microscopy data (SMLM), such as Photoactivated Localization Microscopy (PALM), Stochastic Optical Reconstruction Microscopy (STORM), Ground State Depletion (GSD), and DNA PAINT images. The Huygens Localizer is optimally designed for CPU and GPU computation, enabling a real-time processing experience. Main functionalities include:

Wizard-driven interface
Interactive pre- and post-processing
Various fitting methods
Optional drift correction
Works both on CPU and GPU: highly parallelized performance
Visualization: interactive real-time rendering of localizations
Exporting localization data & rendered image
Interactive Object Analysis

Widefield
HUYGENS Localizer result
Microtubules imaged with a Leica GSD. 2000 frames were accumulated to obtain an equivalent widefield image (right). The rendered result by the HUYGENS Localizer is shown on the left. Images Courtesy: Marko Lampe (image acquisition) / Ulf Matti (sample preparation), EMBL Heidelberg, Germany

Interactive pre-processing

Visualize the intensity flux over time, and crop useful region(s) from the total time-series. The HUYGENS Localizer is able to accurately estimate useful values from your image data, such as the photon-per-unit (ppu) value and the background. It can also estimate the PSF size from the microscopic parameters, which helps in more accurate localization results. In the particle detection stage, it is possible to interactively change settings such as threshold value to find optimal particle detection settings for your data.

Visualizing intensity flux (bleaching curve)
Interactive cropping in time
Interactive thresholding
Powerful background estimation

The pre-processing steps and particle identification settings can be adjusted with real-time visual feedback on the identified particles. With the time-slider you can also quickly obtain feedback on the settings for different time-points.

Multiple CPU & GPU accelerated fitting methods

For optimal fitting, it is possible to choose from various fitting methods. All fitting methods are fully multi-threaded, and can run both on CPU-only as well as on an Nvidia GPU. The processing can be split up in block-sizes that are optimized for the (available) GPU RAM. This allows for efficient processing of tens of thousands of frames per minute.

Least-squares Fit
Weighted Least-squares Fit
Maximum Likelihood
Center of mass

HUYGENS Localizer (GPU)

Alternatives

Learn: GPU acceleration

Interactive Post-processing, Rendering & Analysis

Interactively render the localized data into a super-resolution image. Change the pixel (binning) size, and choose between various (weighted) rendering settings: bin in nearest pixel, fixed Guass, weighted Gauss, width based on uncertainty. The automatic and accurate drift correction (no fiducial markers needed!) helps to automatically remove any thermal drift for the most accurate results. With multi-channel SMLM, a shift between the channels is typically present. The Huygens Chromatic Aberration Corrector can correct for this Aberration, resulting in more reliable multi-channel image analysis. With the interactive Object Analyzer (optional), it is possible to do object based statistic analysis. Measure for example: object count, distances, volume, surface, or overlap between objects in various channels.

Interactive Rendering & filtering of localization data
Fixed Gauss, Weighted Gauss
Automatic Drift Correction
Chromatic Aberration Correction (optional)
Interactive Object Analysis (optional)


Download now: get started!

You are always welcome to try out the HUYGENS Localizer on your microscope images. When you install the Huygens Suite on your computer, also feel free to try out our other products. You can also request pricing information or contact us for more information about the options best suited for your hardware and image processing needs.

Download Now!



HUYGENS Localizer Image Gallery

Nanorulers Cac
GATTA-PAINT 80RG (2x 80nm) nanorulers imaged with STORM system. Both the widefield (accumulated) data (background subtracted), and the processed image show a clear shift between the two channels. This can be accurately corrected with the HUYGENS Chromatic Aberration Corrector. The determined Chromatic Aberration template can be used for correcting chromatic aberration for other images as well. Image data provided by GATTAquant GmbH, and processed with HUYGENS Localizer.


Widefield (frame accumulated)
Processed with HUYGENS Localizer
Microtubules imaged with a Leica GSD. 2000 frames were accumulated to obtain an equivalent widefield image (right). The rendered result by the HUYGENS Localizer is shown on the left. Image courtesy: Marko Lampe (image acquisition with a Leica SR GSD) / Ulf Matti (sample preparation), EMBL Heidelberg, Germany.