Unsupervised imaging, registration and archiving of tissue microarrays.
Year: 2002
Type: article
Abstract: Tissue microarray (TMA) technology offers several advantages over traditional methods of specimen preparation by maximizing limited tissue resources and providing the means for visualizing molecular targets. Currently, the primary methods used to evaluate arrays involves the interactive review of TMA samples while they are viewed by microscope and are subjectively evaluated and scored. The process is slow, tedious and prone to error. In order to facilitate large-scale, multi-institutional studies a more automated and reliable means for processing tissue microarrays is needed. We have developed a web-based prototype which features automated imaging, registration and intelligent archiving of tissue microarrays in multi-user, network environments.
Source: Europe PMC (PubMed Central)
Authors: Wenjin Chen, David J Foran, Michael Reiss
Language: English
Topic: AI in cancer detection
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W2113028661