Image content-based retrieval and automated interpretation of fluorescence microscope images via the protein subcellular location image database

Kai Huang1, J. Lin1, J.A. Gajnak1, R.F. Murphy1
1Department of Biological Sciences and Center for Automated Learning and Discovery Carnegie, Mellon University, Pittsburgh, PA, USA

Tóm tắt

We describe the Protein Subcellular Location Image Database (PSLID), which collects and structures 2-D through 5-D fluorescence microscope images, annotations, and derived features in a relational schema. It is designed so that interpretations as well as annotations can be queried. The annotations in PSLID, composed of 28 linked tables with publicly available descriptions, provide a thorough description of sample preparation and fluorescence microscope imaging. Image interpretation is achieved using Subcellular Location Features that have been shown to be capable of recognizing all major subcellular structures and of resolving patterns that cannot be distinguished by eye. Results of queries can be ranked by image typicality and statistical tests can be performed on sets of images (e.g., to determine whether a drug alters the distribution of a tagged protein). We anticipate that PSLID will serve as a common repository for microscopy images documenting the subcellular location of proteins.

Từ khóa

#Information retrieval #Image retrieval #Content based retrieval #Fluorescence #Microscopy #Proteins #Image databases #Pattern recognition #Image recognition #Image resolution

Tài liệu tham khảo

10.1109/2.410146 10.1093/nar/29.1.336 10.1002/(SICI)1097-0320(19981101)33:3<366::AID-CYTO12>3.0.CO;2-R niblack, 1993, The QBIC project: Quering images by content using color, texture, and shape, Proceedings of the SPIE Conference on Storage and Retrieval for Image and Video Databases, 173, 10.1117/12.143648 10.1016/S0006-3495(99)77379-0 10.1093/bioinformatics/17.12.1213 10.1006/jsbi.1999.4103 10.1034/j.1600-0854.2002.30108.x 10.1034/j.1600-0854.2002.30105.x