1 citations · 2 across the 4 of their papers we have counts for
4 papers
SparseAlign: A Super-Resolution Algorithm for Automatic Marker Localization and Deformation Estimation in Cryo-Electron Tomography
Poulami Somanya Ganguly, Felix Lucka, Holger Kohr +3
Tilt-series alignment is crucial to obtaining high-resolution reconstructions in cryo-electron tomography. Beam-induced local deformation of the sample is hard to estimate from the…
Improving reproducibility in synchrotron tomography using implementation-adapted filters
Poulami Somanya Ganguly, Daniël M. Pelt, Doga Gürsoy +2
For reconstructing large tomographic datasets fast, filtered backprojection-type or Fourier-based algorithms are still the method of choice, as they have been for decades. These ro…
Parallel-beam X-ray CT datasets of apples with internal defects and label balancing for machine learning
Sophia Bethany Coban, Vladyslav Andriiashen, Poulami Somanya Ganguly +2
We present three parallel-beam tomographic datasets of 94 apples with internal defects along with defect label files. The datasets are prepared for development and testing of data-…
Atomic Super-Resolution Tomography
Poulami Somanya Ganguly, Felix Lucka, Hermen Jan Hupkes +1
We consider the problem of reconstructing a nanocrystal at atomic resolution from electron microscopy images taken at a few tilt angles. A popular reconstruction approach called di…