A joint alignment and reconstruction algorithm for electron tomography to visualize in-depth cell-to-cell interactions.

ABSTRACT: Electron tomography allows one to obtain 3D reconstructions visualizing a tissue's ultrastructure from a series of 2D projection images. An inherent problem with this imaging technique is that its projection images contain unwanted shifts, which must be corrected for to achieve reliable reconstructions. Commonly, the projection images are aligned with each other by means of fiducial markers prior to the reconstruction procedure. In this work, we propose a joint alignment and reconstruction algorithm that iteratively solves for both the unknown reconstruction and the unintentional shift and does not require any fiducial markers. We evaluate the approach first on synthetic phantom data where the focus is not only on the reconstruction quality but more importantly on the shift correction. Sub

SUBMITTER: Bogensperger L 

PROVIDER: S-EPMC9124659 | biostudies-literature | 2022 Jun

REPOSITORIES: biostudies-literature