Inverse problems in optical projection tomography: reconstruction and calibration.
Yan Liu

Meeting • 12 April 2021

Abstract
Optical projection tomography produces high-resolution 3D images of fluorescent or nonfluorescent samples. However, the reconstructed OPT images sometimes suffer from a variety of artefacts in real experiments. Artefacts caused by mechanical errors in the imaging system can be corrected through calibration. We propose a 3D mathematical forward model that characterizes different types of mechanical errors including translation of the sample, tilt and wobble of the rotation axis, as well as the angular increment imprecision during rotation. A joint reconstruction-calibration framework is implemented to obtain a good estimate of the system parameters. Numerical simulations are carried out to reproduce and identify the cause of different artefacts. Simulation studies also show that by using the calibrated system parameters, artefacts are successfully removed from the reconstruction.