Bio-image computing (BIC) emerges as a rapidly growing field on the interface between engineering, biology and computer science. State-of-the-art light microscopy (LM) can deliver 2D and 3D image sequences of living cells with unprecedented image quality and ever growing resolution in space and time. The emergence of novel and quite diverse LM modalities has provided biologists with formidable means to explore cell mechanisms, embryogenesis, or neural development, to quote just a few fundamental biological issues. Electron microscopy (EM) supplies information on the cell structure down to the nanometer resolution. Correlating LM and EM at the microscopic level, and both with animal behavior at the macroscopic level, is of paramount importance. In the face of huge data sets, at a size of multiple TB per volume or video, and exceedingly difficult problems, state-of-the-art computer vision are required and need to be further developed. Relevance to the computer vision community. The workshop will bring the latest challenges in bio-image computing to the computer vision community members, while allowing them to know more about the specificities of bio-image computing and its current achievements. This includes important issues related to image modeling, denoising, super-resolution, multi-scale segmentation, motion estimation, image registration, tracking, classification, event detection, topics which appertain to the computer vision field.