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SLIF (Subcellular Location Image Finder) automatically extracts information about protein subcellular locations from figure-caption pairs in biological literature. SLIF separates figures into panels and decides which panels contain fluorescence microscope images (FMI). It applies image processing methods to analyze the FMI and extract a quantitative description of the localization patterns they display. The associated captions are also processed to identify which portions of the caption refer to which panels and to identify the names of proteins contained in the captions. The results of this analysis are stored in the SLIF database.
Our long-term goal is to develop a large library of annotated and analyzed fluorescence microscope images, in order to support data-mining.
PNAS, version 3.0 The current version of the database contains records for 15180 papers from volumes 94-99 of the Proceedings of the National Academy of Sciences (USA), generously made available by the Academy for demonstration purposes.Pubmed Central, version 1.0
The database will be expanded shortly to include all open access articles in Pubmed Central, including BMC papers but not PNAS papers (approximately 45,000 as of 31 December 2007).