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CellProfiler, a software package for high-throughput image analysis by interactive construction of workflow. The workflow could include ImageJ macro The workflow could include ImageJ macro CVIPtools A complete open-source GUI-based Computer Vision and Image Processing software, with C functions libraries COM based dll along with two utilities ...
Desktop open source interactive software system for facilitating the precise annotation of benthic species in orthophoto of the bottom of the sea. Python [5] GPL [6] [7] VoTT (Visual Object Tagging Tool) Free and open source electron app for image annotation and labeling developed by Microsoft. TypeScript/Electron (Windows, Linux, macOS) MIT ...
Fiji [4] [5] is an open source image processing package based on ImageJ2. Fiji's main purpose is to provide a distribution of ImageJ2 with many bundled plugins. Fiji features an integrated updating system and aims to provide users with a coherent menu structure, extensive documentation in the form of detailed algorithm descriptions and ...
Version 3.0, supporting volumetric analysis of 3D image stacks and optional deep learning modules, was released in October 2017. [16] CellProfiler 4.0 was released in September 2020 and focused on speed, usability, and utility improvements with most notable example of migration to Python 3.
BisQue [1] is a free, open source web-based platform for the exchange and exploration of large, complex datasets. It is being developed at the Vision Research Lab [2] at the University of California, Santa Barbara. BisQue specifically supports large scale, multi-dimensional multimodal-images and image analysis.
FOSS stands for "Free and Open Source Software". There is no one universally agreed-upon definition of FOSS software and various groups maintain approved lists of licenses. The Open Source Initiative (OSI) is one such organization keeping a list of open-source licenses. [1] The Free Software Foundation (FSF) maintains a list of what it ...
Gwyddion is a multiplatform modular free software for visualization and analysis of data from scanning probe microscopy (SPM) techniques (like AFM, MFM, STM, SNOM/NSOM). [1] The project is led by its main developers David Nečas (Yeti) and Petr Klapetek who work together with several various developers across the world.
ITK-SNAP is an interactive software application that allows users to navigate three-dimensional medical images, manually delineate anatomical regions of interest, and perform automatic image segmentation. The software was designed with the audience of clinical and basic science researchers in mind, and emphasis has been placed on having a user ...