Editing Bioinformatics (section)

===High-throughput image analysis===
Computational technologies are used to automate the processing, quantification and analysis of large amounts of high-information-content [[medical imaging|biomedical imagery]]. Modern [[image analysis]] systems can improve an observer's [[accuracy]], [[Objectivity (science)|objectivity]], or speed. Image analysis is important for both [[diagnostics]] and research. Some examples are:
* high-throughput and high-fidelity quantification and sub-cellular localization ([[high-content screening]], cytohistopathology, [[Bioimage informatics]])
* [[morphometrics]]
* clinical image analysis and visualization
* determining the real-time air-flow patterns in breathing lungs of living animals
* quantifying occlusion size in real-time imagery from the development of and recovery during arterial injury
* making behavioral observations from extended video recordings of laboratory animals
* infrared measurements for metabolic activity determination
* inferring clone overlaps in [[Gene mapping|DNA mapping]], e.g. the [[Sulston score]]