TY - GEN
T1 - Automatic image analysis of multicellular apoptosis process
AU - Ziraldo, Riccardo
AU - Link, Nichole
AU - Abrams, John
AU - Ma, Lan
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2014/11/2
Y1 - 2014/11/2
N2 - Apoptotic programmed cell death (PCD) is a common and fundamental aspect of developmental maturation. Image processing techniques have been developed to detect apoptosis at the single-cell level in a single still image, while an efficient algorithm to automatically analyze the temporal progression of apoptosis in a large population of cells is unavailable. In this work, we have developed an ImageJ-based program that can quantitatively analyze time-lapse microscopy movies of live tissues undergoing apoptosis with a fluorescent cellular marker, and subsequently extract the temporospatial pattern of multicellular response. The protocol is applied to characterize apoptosis of Drosophila wing epithelium cells at eclosion. Using natural anatomic structures as reference, we identify dynamic patterns in the progression of apoptosis within the wing tissue, which not only confirms the previously observed collective cell behavior from a quantitative perspective for the first time, but also reveals a plausible role played by the anatomic structures in Drosophila apoptosis.
AB - Apoptotic programmed cell death (PCD) is a common and fundamental aspect of developmental maturation. Image processing techniques have been developed to detect apoptosis at the single-cell level in a single still image, while an efficient algorithm to automatically analyze the temporal progression of apoptosis in a large population of cells is unavailable. In this work, we have developed an ImageJ-based program that can quantitatively analyze time-lapse microscopy movies of live tissues undergoing apoptosis with a fluorescent cellular marker, and subsequently extract the temporospatial pattern of multicellular response. The protocol is applied to characterize apoptosis of Drosophila wing epithelium cells at eclosion. Using natural anatomic structures as reference, we identify dynamic patterns in the progression of apoptosis within the wing tissue, which not only confirms the previously observed collective cell behavior from a quantitative perspective for the first time, but also reveals a plausible role played by the anatomic structures in Drosophila apoptosis.
UR - http://www.scopus.com/inward/record.url?scp=84929497773&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84929497773&partnerID=8YFLogxK
U2 - 10.1109/EMBC.2014.6944659
DO - 10.1109/EMBC.2014.6944659
M3 - Conference contribution
C2 - 25571027
AN - SCOPUS:84929497773
T3 - 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014
SP - 4643
EP - 4646
BT - 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014
Y2 - 26 August 2014 through 30 August 2014
ER -