Temporal ordering and registration of images in studies of developmental dynamics.

ABSTRACT: Progress of development is commonly reconstructed from imaging snapshots of chemical or mechanical processes in fixed tissues. As a first step in these reconstructions, snapshots must be spatially registered and ordered in time. Currently, image registration and ordering are often done manually, requiring a significant amount of expertise with a specific system. However, as the sizes of imaging data sets grow, these tasks become increasingly difficult, especially when the images are noisy and the developmental changes being examined are subtle. To address these challenges, we present an automated approach to simultaneously register and temporally order imaging data sets. The approach is based on vector diffusion maps, a manifold learning technique that does not require a priori knowledge o

SUBMITTER: Dsilva CJ 

PROVIDER: S-EPMC4419277 | biostudies-literature | 2015 May

REPOSITORIES: biostudies-literature