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Seamless Multimodal Registration: Supports the hybrid registration of bright - field (IHC/IF) and fluorescence (IF) images, breaking the barrier of image types and enabling the fusion analysis of multi - source data.
Easy Handling of WSI Image Registration: Equipped with an intelligent pyramid sampling strategy, it reduces registration time consumption and resource loss while ensuring accuracy, adapting to large - scale Whole Slide Image (WSI) analysis.
Fully Automated Intelligent Process: No manual intervention is required. It automatically identifies tissue regions and predicts stitching, simplifying the operation process and improving analysis efficiency and consistency.
Precise Spatial Mapping: Utilizes a nested registration engine, which can elastically deform to adapt to tissue morphology differences and accurately restore the spatial position relationship of pathological sections.
Alignment Accuracy: Sub - cellular level alignment accuracy (<5μm error), meeting the strict requirements of registration accuracy for high - resolution pathological image analysis.
Intelligent Sequence Optimization: Based on the dynamic sorting algorithm of feature similarity, it eliminates the dependence on the traditional “reference image”, adapts to the registration needs of various samples and scenarios, and enhances the algorithm's robustness.
Adaptive Pre - processing: Multi - spectral normalization technology overcomes the problem of differences in staining intensity, unifies the image color benchmark, and lays a foundation for accurate registration.
Tissue Morphology Enhancement Algorithm: Strengthens the recognition and utilization of physiological and biological features, helping the algorithm to more accurately capture tissue morphology details and improve registration accuracy.
Hierarchical Registration Architecture: Integrates low - resolution panoramic registration and high - resolution local fine - tuning, taking into account registration efficiency and accuracy, and adapting to the needs of different analysis scales.
Zero Learning Cost: One - click operation interface, no complex training required, quickly get started to complete registration tasks, reducing the use threshold.
Real - time Registration Quality Visualization: Intuitively present the registration effect with feature matching heatmaps, facilitating users to monitor and evaluate in real - time and adjust analysis strategies in a timely manner.
Seamless Integration with Ecosystem: Directly read Qupath project files, and the registration results are automatically written back to Qupath, deeply integrating into the existing pathological analysis workflow and ensuring the continuity of the analysis process.
Maximum Processing Size: Supports ultra - large - size images of 100,000×100,000 pixels, covering large - scale pathological section analysis scenarios.
Typical Registration Speed: 4GB image / 3 - 5 minutes, efficient processing, adapting to the rapid analysis needs of scientific research and clinical practice.
Format Support: Compatible with mainstream formats of OpenSlide/Bio - Formats, ensuring the universality of data access.
Output Format: OME - TIFF multi - channel pyramid + metadata, adapting to the analysis needs of downstream multi - platforms and multi - tools, and retaining data integrity.
Spatial Omics Research: Supports the integration of multi - round staining data such as CODEX and CyCIF, accurately aligns multi - round staining images, and facilitates multi - dimensional analysis of spatial omics.
3D Pathological Reconstruction: Accurately align discontinuous sections to realize tissue stereo visualization, providing support for 3D pathological research such as tumor microenvironment and tissue development.
Accelerated Clinical Research: Cross - platform migration of pathological batch reading, breaking the data barrier of platforms, and promoting data sharing and analysis in multi - center and cross - platform clinical research.
