™Huygens Stitcher
High-quality stitching without artefacts for all microscopy data types
Huygens Stitcher can fit together tiles recorded with any microscope type. Its unique xyz tile positioning approach ensures high 3D precision, even with 0% acquisition overlap between tiles. Tiles can be stitched in the x, y and z direction. With intelligent and automated vignetting correction, seamless stitching is ensured. The easy-to-use Wizard combines fast GPU-accelerated fitting and vignetting correction with deconvolution. Huygens Stitcher can stitch hundreds of gigabytes (see testimonials below). Stitching is available as a task in the Workflow Processor so that it can be combined with other processing tasks in one image processing pipeline.
No overlap between tiles required
Advanced algorithms prevent artefacts
Improved stitching due to integrated deconvolution
Image description
Dendritic spines are visible even in a large field of view. Confocal image tiles of a brain section were stitched, automatically vignetting-corrected and deconvolved with Huygens Stitcher. Courtesy of Dr. Moritz Kirschmann, University of Zurich, Switzerland.
No size limits
No limit to number of tiles, file size, or image dimensions.
Vignetting correction
Intuitive manual and intelligent automated vignetting correction available.
Improved by deconvolution
Integrated Huygens Deconvolution boosts stitching performance and enhances image quality.
Testimonials
Huygens Stitcher works like a charm and the horrendous shading / vignetting is rescued flawlessly!
Dr. Arnaud Gaudin, senior microscopy services officer at the QBI, University of Queensland, Australia.
I am stitching and deconvolving 600 2Ch-xy tiles (total size 160GB) and everything seems to work fine. Positioning of tiles happened using GPU, as well as deconvolving. Everything seems nice!
Dr. Ioannis Alexopoulos, light microscopy and image analysis specialist, Radboud University, The Netherlands
The Huygens Stitching Wizard did a fantastic job of stitching a 850GB tiles image using virtual RAM, and I have been unable to find any flaws in X, Y, or Z.
Robert N. Wine, Fluorescence Microscopy Imaging Center, NIH - National Institute of Environmental Health Sciences, United States
Features
- Easy to use and stable Wizard for obtaining unmatched stitching results.
- Interactive mosaic preview of the tile content.
- Optimal 3D positioning of each tile guarantees smooth transitions across regions of overlap in X, Y and Z.
- Tiles with 0% overlap can still be stitched.
- Support for 2D, 3D, multichannel, and time series images.
- No limit to the number of tiles that can be stitched.
- No limit to the total file size of the input sequence.
- Multiple scenes with tiles can be stitched all at once.
- Automatic vignetting estimation and correction option for each channel.
- Manual vignetting and shading correction option with a recorded flat-field and dark frame.
- Optional high quality Huygens deconvolution integrated in workflow.
- Choice for only stitching and optional vignetting also possible by simply skipping deconvolution in this wizard.
- Registration and deconvolution is supported by GPU.
- Stitches all file types supported in Huygens (some my require a XML file with layout/location information).
- Reads layout information from Abberior STEDYCON (OBF), DeltaVision, LIF, CZI, ND2(Windows) formats automatically.
- Support for custom stitching patterns.
- Settings can be saved to a template for repetitive use and for batch stitching in the Workflow Processor.
- "Memory Mapped File" with extension (.mmf) for processing images that do not fit in RAM memory.
- Since Huygens 24.10: Low-memory" option for X,Y,Z optimization that drastically reduces memory requirements
Related product
With Huygens GPU Acceleration, stitching and deconvolution are extremely fast so that you do not need to compromise between speed and file size.
Huygens Stitcher Gallery
Auto Vignetting correction
Huygens stitched tiles of widefield (Leica) fluorescent Leica LIF data. The same data is shown with and without Huygens automatic vignetting and shading correction. Image represents a developing mouse cortex (P30) stained for Tbr1 and reelin. Courtesy of Dr. Kolk and Dr. Witteveen, Nijmegen Centre for Molecular Life Science, The Netherlands
inset: RAW confocal
Impressive large FOV (22477 x 19936 pixels) dual-channel confocal dataset, imaged with the Abberior Instruments STEDYCON. The dataset was acquired by imaging 3090 individual tiles. All tiles were stitched using the Huygens Stitcher wizard, resulting in a field of view of approx 2 x 2 millimeter with 100nm pixel sampling. Inset shows a zoomed-in region of single cell to appreciate the level of detail in the full dataset.