TY - CHAP
T1 - Identification and classification of objects and motions in microscopy images of biological samples using heuristic algorithms
AU - Winkler, Stephan
AU - Schaller, Susanne
AU - Borgmann, Daniela Martina
AU - Dorfer, Viktoria
AU - Affenzeller, Michael
AU - Jacak, Jaroslaw
AU - Redl, Heinz
AU - Weghuber, Julian
N1 - Funding Information:
The authors cordially thank their research partners at Red Cross Blood Transfusion Service of Upper Austria, Olympus Austria, Trauma Care Consult, and at the Research Centers Hagenberg, Wels, and Linz of the University of Applied Sciences Upper Austria for their ongoing support. The work described in this paper was done within the research projects MicroProt (sponsored by the University of Applied Sciences Upper Austria within its basic research programme) and NanoDetect (sponsored by the Austrian Research Promotion Agency within the FIT-IT programme).
Publisher Copyright:
© Springer International Publishing Switzerland 2015.
PY - 2015
Y1 - 2015
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84925014401&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-15720-7_8
DO - 10.1007/978-3-319-15720-7_8
M3 - Chapter
SN - 978-3-319-15719-1
VL - 595
T3 - Studies in Computational Intelligence
SP - 103
EP - 117
BT - Computational Intelligence and Efficiency in Engineering Systems
PB - Springer
ER -