Single cell tracking
To better understand embryonic development and how congenital disorders occur, scientists need to follow individual cells during the development cycle of an embryo. Using powerful, high-speed light-sheet microscopy, researchers are able to image these
cells at sufficient temporal and spatial resolution.
With Amira Software, researchers are now able to deploy custom segmentation algorithms to segment each individual cell in a time series of images. These thousands of segmented cells can then be tracked using Amira Software's automated powerful tracking
solution (powered by
u-track 3D , under submission for peer-review from the Danuser Lab). With Amira automatic selection of the appropriate motion model,
event detection, and gap closing, researchers can track thousands of fast-moving cells with high precision.
From these tracks, Amira Software enables scientists to extract quantitative information such as shape size and intensity parameters or measurements related to motility and diffusion. Researchers can also analyze the track across multiple cell generations
to obtain cell lineage information.