TY - GEN
T1 - Mitosis detection for stem cell tracking in phase-contrast microscopy images
AU - Huh, Seungil
AU - Eom, Sungeun
AU - Bise, Ryoma
AU - Yin, Zhaozheng
AU - Kanade, Takeo
PY - 2011
Y1 - 2011
N2 - Automated visual-tracking systems of stem cell populations in vitro allow for high-throughput analysis of time-lapse phase-contrast microscopy. In these systems, detection of mitosis, or cell division, is critical to tracking performance as mitosis causes branching of the trajectory of a mother cell into the two trajectories of its daughter cells. Recently, one mitosis detection algorithm showed its success in detecting the time and location that two daughter cells first clearly appear as a result of mitosis. This detection result can therefore helps trajectories to correctly bifurcate and the relations between mother and daughter cells to be revealed. In this paper, we demonstrate that the functionality of this recent mitosis detection algorithm significantly improves state-of-the-art cell tracking systems through extensive experiments on 48 C2C12 myoblastic stem cell populations under four different conditions.
AB - Automated visual-tracking systems of stem cell populations in vitro allow for high-throughput analysis of time-lapse phase-contrast microscopy. In these systems, detection of mitosis, or cell division, is critical to tracking performance as mitosis causes branching of the trajectory of a mother cell into the two trajectories of its daughter cells. Recently, one mitosis detection algorithm showed its success in detecting the time and location that two daughter cells first clearly appear as a result of mitosis. This detection result can therefore helps trajectories to correctly bifurcate and the relations between mother and daughter cells to be revealed. In this paper, we demonstrate that the functionality of this recent mitosis detection algorithm significantly improves state-of-the-art cell tracking systems through extensive experiments on 48 C2C12 myoblastic stem cell populations under four different conditions.
UR - http://www.scopus.com/inward/record.url?scp=80055026823&partnerID=8YFLogxK
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U2 - 10.1109/ISBI.2011.5872832
DO - 10.1109/ISBI.2011.5872832
M3 - Conference contribution
AN - SCOPUS:80055026823
SN - 9781424441280
T3 - Proceedings - International Symposium on Biomedical Imaging
SP - 2121
EP - 2127
BT - 2011 8th IEEE International Symposium on Biomedical Imaging
T2 - 2011 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI'11
Y2 - 30 March 2011 through 2 April 2011
ER -