TY - GEN
T1 - Symmetry-based detection of nuclei in microscopy images
AU - Ram, Sundaresh
AU - Rodriguez, Jeffrey J.
PY - 2013/10/18
Y1 - 2013/10/18
N2 - Accurate detection of individual cell nuclei in microscopic images is an essential task for many biological studies. Blur, clutter, bleed through, imaging noise and touching and partially overlapping nuclei with varying sizes and shapes make automated detection of individual cell nuclei a challenging task using image analysis. In this paper we propose an automated method for robust detection of individual cell nuclei in fluorescence in-situ hybridization (FISH) images obtained via confocal microscopy. Our algorithm consists of the following steps: image denoising, binarization, detection of nuclear seed points combining the fast radial symmetric transform (FRST) and a distance-based non-maximum suppression. We show that our algorithm provides improved detection accuracy compared to the existing algorithms.
AB - Accurate detection of individual cell nuclei in microscopic images is an essential task for many biological studies. Blur, clutter, bleed through, imaging noise and touching and partially overlapping nuclei with varying sizes and shapes make automated detection of individual cell nuclei a challenging task using image analysis. In this paper we propose an automated method for robust detection of individual cell nuclei in fluorescence in-situ hybridization (FISH) images obtained via confocal microscopy. Our algorithm consists of the following steps: image denoising, binarization, detection of nuclear seed points combining the fast radial symmetric transform (FRST) and a distance-based non-maximum suppression. We show that our algorithm provides improved detection accuracy compared to the existing algorithms.
KW - FISH images
KW - FRST
KW - Nucleus detection
KW - unimodal thresholding
UR - http://www.scopus.com/inward/record.url?scp=84890526385&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84890526385&partnerID=8YFLogxK
U2 - 10.1109/ICASSP.2013.6637826
DO - 10.1109/ICASSP.2013.6637826
M3 - Conference contribution
AN - SCOPUS:84890526385
SN - 9781479903566
T3 - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
SP - 1128
EP - 1132
BT - 2013 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013 - Proceedings
T2 - 2013 38th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013
Y2 - 26 May 2013 through 31 May 2013
ER -