imageio
Imageio is a Python library that provides an easy interface to read and write a wide range of image data, including animated images, volumetric data, and scientific formats. It is cross-platform, runs on Python 3.5+, and is easy to install. Imageio is written in pure Python, so installation is easy. Imageio works on Python 3.5+. It also works on Pypy. Imageio depends on Numpy and Pillow. For some formats, imageio needs additional libraries/executables (e.g. ffmpeg), which imageio helps you to download/install. If something doesn’t work as it should, you need to know where to search for causes. The overview on this page aims to help you in this regard by giving you an idea of how things work, and - hence - where things may go sideways.
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CubeVue
CurveBeam AI's CubeVue software provides powerful visualization tools to enhance dataset analysis, giving you intuitive interpretation and treatment planning tools at your fingertips. Basic visualization tools include zoom, pan, and window level adjustments; distance and angle measurements; case workup saving; side-by-side study comparisons; and the ability to create DICOM or JPEG images from any window, including 3D. Advanced visualization tools encompass dynamic 3D renderings, multiplanar reconstruction views, and SimX views. Dynamic 3D renderings allow free rotation to visualize the volume from any angle, peeling away or building on skin for clinical assessment, and scrolling through the volume slice by slice. MPR views enable the rotation of planes to create custom reformats on the fly, synchronized navigation of coronal, axial, and sagittal slices, and adjustment of slice thickness to create custom slabs. SimX views generate digitally reconstructed radiographs from CT data.
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Autoplot
Autoplot is a native macOS workspace that unifies scientific data import, analysis, plotting, annotation, and publishing without the usual copy-and-paste cycle between chatbots, terminals, and image editors. Users can import local files or SFTP data, define delimiters, headers, and encoding, merge files into one project, and apply assistant-written Python locally for filtering, splicing, or derived variables. Pre-vetted analysis cards cover CCDF, AUC, log-binned distributions, power-law and truncated fits, Xmin diagnostics, finite-size scaling, scaling relations, correlation matrices, and correlation networks, while custom statistics can be generated and run through the built-in Python environment. Results remain reusable, so they can be replotted, refitted, layered, composed, or exported without rebuilding the workflow. Autoplot supports X&Y plots, histograms, heat maps, categorical charts, 3D scatter, surface, and line plots, plus unlimited overlays, fits, and contours.
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Athena DICOM Expert
Athena DICOM Expert is a fast, intuitive, and reliable DICOM viewer designed for radiology professionals seeking advanced volumetric reconstruction tools such as MPR (Multiplanar Reconstruction), POI (Point of Interest), and MIP (Maximum Intensity Projection) for the visualization and manipulation of medical imaging. It supports importing images from various sources, including local drives, CDs, DVDs, USB drives, PACS servers, and cloud services like OneDrive, Google Drive, and Dropbox. Users can export images in DICOM or JPEG formats and perform advanced searches by combining parameters such as name, ID, access number, study description, modalities, and dates. Athena DICOM Expert offers original acquisition visualization without post-processing, multi-series visualization (Original/MPR and different modalities presented simultaneously), and 3D modes, including volumetric, X-ray, MIP, and isosurface reconstructions.
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