  The newly developed Core Imaging Library (CIL) is a flexible plug and play
library for tomographic imaging with a specific focus on iterative
reconstruction. CIL provides building blocks for tailored regularised
reconstruction algorithms and explicitly supports multichannel tomographic
data. In the first part of this two-part publication, we introduced the
fundamentals of CIL. This paper focuses on applications of CIL for multichannel
data, e.g., dynamic and spectral. We formalise different optimisation problems
for colour processing, dynamic and hyperspectral tomography and demonstrate
CIL's capabilities for designing state of the art reconstruction methods
through case studies and code snapshots.
