eLife paper out: Much improved machine learning-based 3D cell segmentation. With essential contributions by Athul and Rachele.

An eLife paper describing a new and much improved method for 3D segmention of cells based on their outlines. Crucial contributions by Athul and Rachele. A huge collaborative effort of members of the DFG research unit FOR 2581 (Plant Morphodynamics). We make extensive use of this method for the segmentation of ovules. Works really well

The press release from EMBL can be found here.