1.7k citations · 2.3k across the 11 of their papers we have counts for
13 papers
Estimation of Optical Aberrations in 3D Microscopic Bioimages
Kira Vinogradova, Eugene W. Myers
The quality of microscopy images often suffers from optical aberrations. These aberrations and their associated point spread functions have to be quantitatively estimated to restor…
Merging Sorted Lists of Similar Strings
Gene Myers
Merging sorted, non-redundant lists containing elements into a single sorted, non-redundant result of size is a classic problem typically solved practically in…
Practical sensorless aberration estimation for 3D microscopy with deep learning
Debayan Saha, Uwe Schmidt, Qinrong Zhang +6
Estimation of optical aberrations from volumetric intensity images is a key step in sensorless adaptive optics for 3D microscopy. Recent approaches based on deep learning promise a…
Towards Interpretable Semantic Segmentation via Gradient-weighted Class Activation Mapping
Kira Vinogradova, Alexandr Dibrov, Gene Myers
Convolutional neural networks have become state-of-the-art in a wide range of image recognition tasks. The interpretation of their predictions, however, is an active area of resear…
Cell Detection with Star-convex Polygons
Uwe Schmidt, Martin Weigert, Coleman Broaddus +1
Automatic detection and segmentation of cells and nuclei in microscopy images is important for many biological applications. Recent successful learning-based approaches include per…
Biobeam - Rigorous wave-optical simulations of light-sheet microscopy
Martin Weigert, Eugene W. Myers, Moritz Kreysing
Sample-induced image-degradation remains an intricate wave-optical problem in light-sheet microscopy. Here we present biobeam, an open-source software package that enables to simul…