339 citations · 345 across the 3 of their papers we have counts for
3 papers
q-bio.QM2022
Deep learning-based identification of sub-nuclear structures in FIB-SEM images
Niraj Gupta, Eric J. Roberts, Song Pang +7
Three-dimensional volumetric imaging of cells allows for in situ visualization, thus preserving contextual insights into cellular processes. Despite recent advances in machine lear…
physics.bio-ph2017★ 339 cited
The 2015 super-resolution microscopy roadmap
Stefan Hell, Steffen Sahl, Mark Bates +24
Far-field optical microscopy using focused light is an important tool in a number of scientific disciplines including chemical, (bio)physical and biomedical research, particularly…
cs.CV2012★ 6 cited
Super-resolution using Sparse Representations over Learned Dictionaries: Reconstruction of Brain Structure using Electron Microscopy
Tao Hu, Juan Nunez-Iglesias, Shiv Vitaladevuni +6
A central problem in neuroscience is reconstructing neuronal circuits on the synapse level. Due to a wide range of scales in brain architecture such reconstruction requires imaging…