External Software and OMERO¶
Here we describe how to use third party tools to analyze data stored in OMERO. We provide installation instructions, step-by-step workflow either to use the User Interface or the API of those tools.
CellProfiler is a free open-source software for quantitative analysis of biological images. We demonstrate how to integrate CellProfiler and OMERO using the CellProfiler Python API and the OMERO Python API.
For more details, visit the CellProfiler website.
|Fiji||Fiji is a popular free open-source image processing package based on ImageJ, https://imagej.net/Fiji. We demonstrate how to use Fiji User Interface and OMERO and we also demonstrate how to analyze data in OMERO using Fiji scripting facility.|
|ilastik||ilastik is a free open-source interactive learning and segmentation toolkit, with which can be used to leverage machine learning algorithms to easily segment, classify, track and count cells or other experimental data. For more details go to see https://www.ilastik.org/. We will show how to analyze data stored in OMERO, using the ilastik user interface, Fiji and the OMERO ImageJ plugin. We will then also show how to analyze images using the ilastik API and OMERO.py API.|
|Orbit||Orbit is a free open-source software with the focus on quantification of big images like whole slide scans. It offers sophisticated image analysis algorithms. Of those, tissue quantification using machine learning techniques, object/cell segmentation, and object classification are the basic ones. We demonstrate how to integrate Orbit and OMERO using both the User Interface and the API. For more details, go to http://www.orbit.bio/|
|QuPath||QuPath is a free open-source cross-platform software application designed for bioimage analysis - and specifically to meet the needs of whole slide image analysis and digital pathology. We demonstrate how to integrate QuPath and OMERO using the User Interface. For more details, go to See https://github.com/qupath/qupath/wiki/|
|TrackMate||TrackMate is Fiji plugin for single-particle tracking. We demonstrate how to use TrackMate and OMERO using both the User Interface and the API. For more details, go to https://imagej.net/TrackMate.|