Utz H. Ermel

Lessons learned from a Kaggle challenge for particle picking in cryo-electron tomography

Abstract The difficulty of particle picking in cryo-electron tomography remains a barrier to routine in situ structure determination. Machine learning is well-suited to overcome this bottleneck with efficient algorithms that generalize across molecular species. To spur new algori...