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URL: http://murphylab.web.cmu.edu/services/SLIF/
Proper Citation: Subcellular Location Image Finder (RRID:SCR_006723)
Description: SLIF finds fluorescence microscope images in on-line journal articles, and indexes them according to cell line, proteins visualized, and resolution. Images can be accessed via the SLIF Web database. SLIF takes on-line papers and scans them for figures that contain fluorescence microscope images (FMIs). Figures typically contain multiple FMIs, to SLIF must segment these images into individual FMIs. When the FMI images are extracted, annotations for the images (for instance, names of proteins and cell-lines) are also extracted from the accompanying caption text. Protein annotation are also used to link to external databases, such as the Gene Ontology DB. The more detailed process includes: segmentation of images into panels; panel classification, to find FMIs; segmentation of the caption, to find which portions of the caption apply to which panels; text-based entity extraction; matching of extracted entities to database entries; extraction of panel labels from text and figures; and alignment of the text segments to the panels. Extracted FMIs are processed to find subcellular location features (SLFs), and the resulting analyzed, annotated figures are stored in a database, which is accessible via SQL queries.
Abbreviations: SLIF
Synonyms: SLIF - Subcellular Location Image Finder
Resource Type: data or information resource, image, database
Defining Citation: PMID:17990497
Keywords: fluorescence, annotation, cell, journal, microscope, protein, subcellular, image, cell line, fluorescence microscope, information retrieval, data mining
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