Helmholtz Munich, Technical University of Munich, and the University of Basel unveiled MemBrain v2, an AI tool that automates 3D membrane analysis in cryo-electron tomography. The study, published in Nature Methods, reports that tasks that previously took weeks can be reduced to a few hours, targeting a bottleneck in end-to-end membrane characterization. The release underscores ongoing progress in computational microscopy pipelines—improving throughput while reducing manual annotation requirements that slow basic research and preclinical work. By focusing on a core imaging workflow rather than a downstream interpretation, the tool aims to make structural biology more scalable. For industry labs, automation at the imaging-analysis step can translate into faster iteration cycles for mechanism-of-action studies and formulation-adjacent experiments. The publication also points to a broader pattern: AI is increasingly being deployed as a “labor substitute” for expensive skilled time in microscopy and image reconstruction.