/Recent content on Qim CenterHugoenTue, 22 Sep 2026 00:00:00 +0000/events/coderefinery-sept2026/Tue, 22 Sep 2026 00:00:00 +0000/events/coderefinery-sept2026/<p>More information and registration coming soon!</p>/events/qim-satellite-meeting-2026/Mon, 19 Jan 2026 00:00:00 +0000/events/qim-satellite-meeting-2026/<p>This satellite meeting explores how reproducible analysis pipelines can link imaging data acquisition at MAX IV beamlines to transparent, publishable results. Participants will see how the Qim project supports reproducible, automated, and shareable workflows tailored to imaging, with demonstrations of tools such as the qim3d Python library and the analysis platform, along with real-world examples from imaging-focused beamlines, including DanMAX and ForMAX.</p>/events/cil-reconstruction-workshop/Mon, 20 Oct 2025 00:00:00 +0000/events/cil-reconstruction-workshop/<p>This workshop is designed for researchers and practitioners working with reconstruction and image analysis across modalities such as X-ray and neutron CT. The focus is on deepening understanding of image reconstruction processes using the CCPi CIL (Core Imaging Library) and exploring how reconstruction choices influence downstream analysis and interpretation.</p>/about/test/Sun, 10 Mar 2019 00:00:00 +0000/about/test/<p>Hugo ships with several <a href="https://gohugo.io/content-management/shortcodes/#use-hugos-built-in-shortcodes">Built-in Shortcodes</a> for rich content, along with a <a href="https://gohugo.io/about/hugo-and-gdpr/">Privacy Config</a> and a set of Simple Shortcodes that enable static and no-JS versions of various social media embeds.</p>/contact/Mon, 01 Jan 0001 00:00:00 +0000/contact/<p>The Qim Center supports research and collaboration in quantitative image analysis, imaging science, artificial intelligence, and high-performance computing.</p> <p>If you would like to discuss a collaboration, research-support request, or a question about the center&rsquo;s work, please contact us at <a href="mailto:info@qim.dk">info@qim.dk</a>.</p>/support/custom-method-development/Mon, 01 Jan 0001 00:00:00 +0000/support/custom-method-development/<p>Every research project presents unique challenges. The Qim Center collaborates with researchers to develop custom algorithms and analysis methods that address specific needs not covered by existing tools.</p>/support/image-visualization-analysis/Mon, 01 Jan 0001 00:00:00 +0000/support/image-visualization-analysis/<p>Working with 3D imaging data requires clever visualization and analysis tools. The Qim Center provides solutions for exploring volumetric datasets, even if the dataset size ranges to multiple Gigabytes.</p>/tools/insegt3d/Mon, 01 Jan 0001 00:00:00 +0000/tools/insegt3d/<p>InSegT3D is an interactive segmentation tool that utilizes the U-Net deep learning architecture to quickly and efficiently segment 3D volumetric images. By providing a few scribbles, you get a complete segmentation of your 3D dataset. It utilizes the Zarr storage format to enable the segmentation of extremely large images.</p>/tools/local-thickness/Mon, 01 Jan 0001 00:00:00 +0000/tools/local-thickness/<p>Local thickness is a fundamental morphological measure defined as the radius of the largest sphere that fits inside an object at any given point. Our fast algorithm computes local thickness in a fraction of the time compared to conventional approaches.</p>/support/qim-platform/Mon, 01 Jan 0001 00:00:00 +0000/support/qim-platform/<p>The Qim Platform is a web-based computational environment designed to make quantitative analysis of large-scale 3D imaging data easier, faster, and more accessible.</p>/showcases/reconstruction-with-stitching/Mon, 01 Jan 0001 00:00:00 +0000/showcases/reconstruction-with-stitching/<!-- Content fetched from remote repository at build time -->/tools/scnp/Mon, 01 Jan 0001 00:00:00 +0000/tools/scnp/<p>Same-Class Neighbor Penalization (SCNP) is a novel optimization method designed to improve the topological accuracy of image segmentation models. SCNP discourages topological errors, such as broken connections, or isolated holes or islands, by penalizing the poorest-classified neighbor of each pixel’s logit. This is achieved through simple min- and max-pooling operations over local neighborhoods, which amplify the loss contribution of pixels that are most likely to create incorrect connectivity.</p>/tools/structure-tensor/Mon, 01 Jan 0001 00:00:00 +0000/tools/structure-tensor/<p>The structure tensor is a 3×3 symmetric positive semi-definite matrix that summarizes orientation in a small neighbourhood around every point in a 3D volume. This tool provides an efficient implementation for computing the structure tensor and extracting dominant orientations and shape measures from large 3D datasets.</p>/support/tomography-reconstruction/Mon, 01 Jan 0001 00:00:00 +0000/support/tomography-reconstruction/<p>Tomography reconstruction is the process of converting 2D projection images into a 3D volumetric representation. The Qim Center provides expertise and tools for reconstruction of data from both synchrotron and laboratory-based X-ray sources, based on the Core Imaging Library (CIL) reconstruction tools.</p>/support/training-and-workshops/Mon, 01 Jan 0001 00:00:00 +0000/support/training-and-workshops/<h2 id="overview">Overview</h2> <p>The Qim Center organizes training sessions and workshops to help researchers develop skills in quantitative image analysis. Our programs cover both fundamental concepts and advanced techniques for working with 3D imaging data.</p>