Identification and classification of objects and motions in microscopy images of biological samples using heuristic algorithms
S. M. Winkler, S. Schaller, D. M. Borgmann, V. Dorfer, M. Affenzeller, J. Jacak, H. Redl, J. Weghuber - Identification and classification of objects and motions in microscopy images of biological samples using heuristic algorithms in Studies in Computational Intelligence (Contributions to Book: Part/Chapter/Section 2), (Editors: J. Kacprzyk) - Springer Vieweg, 2015, pp. 103-117
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.