Information management for high content live cell imaging.

ABSTRACT:

Background

High content live cell imaging experiments are able to track the cellular localisation of labelled proteins in multiple live cells over a time course. Experiments using high content live cell imaging will generate multiple large datasets that are often stored in an ad-hoc manner. This hinders identification of previously gathered data that may be relevant to current analyses. Whilst solutions exist for managing image data, they are primarily concerned with storage and retrieval of the images themselves and not the data derived from the images. There is therefore a requirement for an information management solution that facilitates the indexing of experimental metadata and results of high content live cell imaging experiments.

Results

We have designed and implement

SUBMITTER: Jameson D 

PROVIDER: S-EPMC2723092 | biostudies-literature | 2009 Jul

REPOSITORIES: biostudies-literature