Identification and classification of objects and motions in microscopy images of biological samples using heuristic algorithms

Stephan Winkler, Susanne Schaller, Daniela Martina Borgmann, Viktoria Dorfer, Michael Affenzeller, Jaroslaw Jacak, Heinz Redl, Julian Weghuber

Research output: Chapter in Book/Report/Conference proceedingsChapterpeer-review

Abstract

Heuristic algorithms are used for solving numerous modern research questions in biomedical informatics. We here summarize ongoing research done in this context and focus on approaches used in the analysis of microscopic images of biological samples. On the one hand we discuss the use of evolutionary algorithms for detecting and classifying structures in microscopy images, especially micro-patterns, cornea cells, and strands of myocardial muscles. On the other hand we show the use of data mining for characterizing the motions of molecules (for recognizing cells affected by paroxysmal nocturnal hemoglobinuria) and the progress of bone development.
Original languageEnglish
Title of host publicationComputational Intelligence and Efficiency in Engineering Systems
PublisherSpringer
Pages103-117
Number of pages15
Volume595
ISBN (Electronic)978-3-319-15720-7
ISBN (Print)978-3-319-15719-1
DOIs
Publication statusPublished - 2015

Publication series

NameStudies in Computational Intelligence
PublisherSpringer Verlag
ISSN (Print)1860-949X

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