![]() A Web viewer, a PostgreSQL database back-end, a MySQL database back-end, and a reference implementation of DICOMweb are currently freely available as plugins.ĭeep learning based image restoration methods have recently been made available to restore images from under-exposed imaging conditions, increase spatio-temporal resolution ( CARE) or self-supervised image denoising ( Noise2Void). Orthanc also features a plugin mechanism to add new modules that extends the core capabilities of its REST API. Furthermore, standard PNG images can be generated on-the-fly from the DICOM instances by Orthanc. The DICOM tags of the stored medical images can be downloaded in the JSON file format. Thanks to this major feature, it is possible to drive Orthanc from any computer language. What makes Orthanc unique is the fact that it provides a RESTful API. Its architecture is lightweight and standalone, meaning that no complex database administration is required, nor the installation of third-party dependencies. Orthanc can turn any computer running Windows, Linux or OS X into a DICOM store (in other words, a mini-PACS system). Orthanc lets its users focus on the content of the DICOM files, hiding the complexity of the DICOM format and of the DICOM protocol. It is designed to improve the DICOM flows in hospitals and to support research about the automated analysis of medical images. Orthanc aims at providing a simple, yet powerful standalone DICOM server. Export analytical data to text or CSV files.Select an extensive range of measurement parameters.Analyse areas via data thresholding using amount of x-ray counts, phase maps, height, or other material properties.Measure and quantify data across multiple layers.Generate profile (cross section) views of multimodal data.Customisation of colour palettes, data overlays, image rendering options, and document display.3D visualisation of topography combined with AFM material properties, EM images, and EDS & EBSD map overlays.Correlate both sets of data using intuitive image overlays and image matching tools.Import data from AZtec using the H5oina file format. ![]() Interactive display of multi-layer correlated dataĪnalytical tools for metadata interrogation ![]() It provides the tools you need to correlate data from different microscopes, visualise multi-layered data in 2D and 3D, and conduct correlative analyses.Ĭombining data from different imaging modalities (e.g. ![]() Relate is a correlative software package optimised to work with EM, EDS, EBSD, & AFM data and images. ![]()
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