A collection is a software that encapsulate a set of bioimage components and/or workflows.


webKnossos is an open-source data sharing and annotation platform for tera-scale 2D and 3D image datasets.

The core features of webKnossos are:

  • fast 3D data streaming
  • share links to specific locations in the data
  • uniquely fast skeleton annotation (flight mode) and
  • efficient volume annotation
  • mesh rendering
  • collaboration and sharing tools

webKnossos facilitates image analysis workflows on multi-terabyte datasets, including visualization of raw and multi-modal microscopy data, distributed training data generation and proof-reading of automatic segmentation.

As a scientific resource, serves as a database for published image datasets including their annotations.




Histology Topography Cytometry Analysis Toolbox (histoCAT) is a package to visualize and analyse multiplexed image cytometry data interactively. It can also export data in.fcs data for further analysis using  a specialized cytometry sofwtare such as Flowjo. 

It can be run as a compiled standalone or from matlab.


The library contains several helper functions to generate MoBIE project folders and add data to it.  Itis a python library to generate data in the MoBIE data storage layout. 

For further information, look to

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SPHIRE is a new software suite designed for easy access to cryo electron microscopy with the clear goal of quality assessment and result reproducibility by statistical resampling. While being well suited for cryo-EM novices, experienced users will find comfort in the accessibility of almost every possible variable in advanced option tabs and the transparent, easily customizable Python-based framework for non-standard processing pipelines. In a visually appealing and easy-to-use graphical user interface (GUI) the user will find an array of programs which will guide through the complete process of high-resolution cryo-EM. This begins with movie frame alignments (movie), CTF estimation of raw electron micrographs (cter) and picking/stack creation (window) and continues with reproducible 2-D classification (isac), reproducible initial model generation (viper), automatic gold-standard 3-D refinement (meridien), local resolution estimation and filtering (localres), up to the 3-D sorting of different conformational states based on the statistical 3-D variability of the data (sort3D).

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