{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,19]],"date-time":"2025-03-19T11:37:18Z","timestamp":1742384238286},"reference-count":35,"publisher":"World Scientific Pub Co Pte Lt","issue":"01","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Semantic Computing"],"published-print":{"date-parts":[[2007,3]]},"abstract":"<jats:p> Microscopic imaging is one of the most common techniques for investigating biological systems. In recent years there has been a tremendous growth in the volume of biological imaging data owing to rapid advances in optical instrumentation, high-speed cameras and fluorescent probes. Powerful semantic analysis tools are required to exploit the full potential of the information content of these data. Semantic analysis of multi-modality imaging data, however, poses unique challenges. In this paper we outline the state-of-the-art in this area along with the challenges facing this domain. Information extraction from biological imaging data requires modeling at multiple levels of detail. While some applications require only quantitative analysis at the level of cells and subcellular objects, others require modeling of spatial and temporal changes associated with dynamic biological processes. Modeling of biological data at different levels of detail allows not only quantitative analysis but also the extraction of high-level semantics. Development of powerful image interpretation and semantic analysis tools has the potential to significantly help in understanding biological processes, which in turn will result in improvements in drug development and healthcare. <\/jats:p>","DOI":"10.1142\/s1793351x07000032","type":"journal-article","created":{"date-parts":[[2007,5,7]],"date-time":"2007-05-07T06:17:59Z","timestamp":1178518679000},"page":"67-85","source":"Crossref","is-referenced-by-count":9,"title":["SEMANTIC ANALYSIS OF BIOLOGICAL IMAGING DATA: CHALLENGES AND OPPORTUNITIES"],"prefix":"10.1142","volume":"01","author":[{"given":"WAMIQ MANZOOR","family":"AHMED","sequence":"first","affiliation":[{"name":"School of Electrical and Computer Engineering, Purdue University, 465 Northwestern Avenue, West Lafayette, IN 47907, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"MUHAMMAD NAEEM","family":"AYYAZ","sequence":"additional","affiliation":[{"name":"School of Electrical and Computer Engineering, Purdue University, 465 Northwestern Avenue, West Lafayette, IN 47907, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"BARTEK","family":"RAJWA","sequence":"additional","affiliation":[{"name":"Bindley Bioscience Center, Purdue University, 1203 West State Street, West Lafayette, IN 47907, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"FARRUKH","family":"KHAN","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Texas Southern University, Houston, TX 77004, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"ARIF","family":"GHAFOOR","sequence":"additional","affiliation":[{"name":"School of Electrical and Computer Engineering, Purdue University, 465 Northwestern Avenue, West Lafayette, IN 47907, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"J. 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