TY - GEN
T1 - Comparison of segmentation algorithms for the zebrafish heart in fluorescent microscopy images
AU - Krämer, P.
AU - Boto, F.
AU - Wald, D.
AU - Bessy, F.
AU - Paloc, C.
AU - Callol, C.
AU - Letamendia, A.
AU - Ibarbia, I.
AU - Holgado, O.
AU - Virto, J. M.
PY - 2009
Y1 - 2009
N2 - The zebrafish embryo is a common model organism for cardiac development and genetics. However, the current method of analyzing the embryo heart images is still mainly the manual and visual inspection through the microscope by scoring embryos visually - a very laborious and expensive task for the biologist. We propose to automatically segment the embryo cardiac chambers from fluorescent microscopic video sequences, allowing morphological and functional quantitative features of cardiac activity to be extracted. Several methods are presented and compared within a large range of images, varying in quality, acquisition parameters, and embryos position. Despite such variability in the images, the best method reaches a 70% of accuracy, allowing reducing biologists workload by automating some of the tedious manual segmentation tasks.
AB - The zebrafish embryo is a common model organism for cardiac development and genetics. However, the current method of analyzing the embryo heart images is still mainly the manual and visual inspection through the microscope by scoring embryos visually - a very laborious and expensive task for the biologist. We propose to automatically segment the embryo cardiac chambers from fluorescent microscopic video sequences, allowing morphological and functional quantitative features of cardiac activity to be extracted. Several methods are presented and compared within a large range of images, varying in quality, acquisition parameters, and embryos position. Despite such variability in the images, the best method reaches a 70% of accuracy, allowing reducing biologists workload by automating some of the tedious manual segmentation tasks.
UR - https://www.scopus.com/pages/publications/72449142798
U2 - 10.1007/978-3-642-10520-3_100
DO - 10.1007/978-3-642-10520-3_100
M3 - Conference contribution
AN - SCOPUS:72449142798
SN - 364210519X
SN - 9783642105197
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 1041
EP - 1050
BT - Advances in Visual Computing - 5th International Symposium, ISVC 2009, Proceedings
T2 - 5th International Symposium on Advances in Visual Computing, ISVC 2009
Y2 - 30 November 2009 through 2 December 2009
ER -