Note: If you encounter heap space errors, add this statment to your knime.ini: -Dorg.knime.container.cellsinmemory=0 (see also: KNIME FAQs )

ImageBee is a collection of KNIME nodes for handling and analysing calcium-imaging movies recorded from the honeybee brain. It is a toolkit for neurobiological data analysis that provides the basis for constructing image processing pipelines. In particular, we consider data from the honeybee antennal lobe (AL) where odor molecules smelled by the bee are represented by spatio-temporal activity patterns.

Processing with the nodes from ImageBee allows for constructing functional maps of the antennal lobe, for extracting signals, and for constructing denoised versions of the movies. Here are some examples for image procesing pipelines designed for imaging data (fura-dextran staining) of the honeybee AL:

1) Making maps and time series 2) Making movies 3) Loop over files

Further downloads: example data and color tables

Get a nightly build of ImageBee a the update site .

If you are new to KNIME, see the Installation instructions

The ImageBee nodes utilise the libraries provided by the KNIME Image Processing framework.