Bitplane Imaris 9.9 image analysis software

Bitplane has released Imaris 9.9, the latest version of its microscopy image analysis software, suited to applications such as cancer, cell biology, developmental biology and neuroscience. The latest version adds a pixel classification segmentation method powered by Labkit.

Training the pixel classifier with a few brush strokes leads to smart segmentation of data. This method can be applied to fluorescent data as well as some greyscale images. The addition of machine learning pixel classification with an intuitive and interactive training mode broadens the diversity of images for analysis as it enables some electron microscopy segmentation and shape recognition. All other parts of Imaris Surface creation workflow, such as filtering, editing or object classification, are available with this method. It makes the workflow smooth and opens good image analysis and visualisation options.

Imaris 9.9 is designed to be the most open and flexible version ever. It facilitates the connection between open-source software packages like MaMuT (or TrackMate) and Imaris by enabling the ability to directly import label images or position data as Surfaces or Spots, respectively. Tracking objects like single nuclei in developing embryos can be a challenging task, but software packages like MaMuT — a tracking and track-editing framework for large, multi-view images — can help to analyse the data. By importing the data into Imaris, users have access to the software’s 3D rendering with object colour coding and multiple visualisation modes. Overlaying tracking results with the raw, multichannel microscopy data unlocks the possibility to create stunning snapshots and animations.