NDLI: Towards automatic image analysis and assessment of the multicellular apoptosis process

Content Provider	IET Digital Library
Author	Ziraldo, Riccardo Link, Nichole Abrams, John Ma, Lan
Abstract	Apoptotic programmed cell death (PCD) is a fundamental aspect of developmental maturation. However, the authors’ understanding of apoptosis, especially in the multi-cell regime, is incomplete because of the difficulty of identifying dying cells by conventional strategies. Real-time in vivo microscopy of Drosophila, an excellent model system for studying the PCD during development, has been used to uncover plausible collective apoptosis at the tissue level, although the dynamic regulation of the process remains to be deciphered. In this work, the authors have developed an image-analysis program that can quantitatively analyse time-lapse microscopy of live tissues undergoing apoptosis with a fluorescent nuclear marker, and subsequently extract the spatiotemporal patterns of multicellular response. The program can process a large number of cells (>103) automatically tracked across sets of image frames. It is applied to characterise the apoptosis of Drosophila wing epithelium at eclosion. Using the natural anatomic structures as reference, the authors identify dynamic patterns in the progression of PCD within the Drosophila tissues. The results not only confirm the previously observed collective multi-cell behaviour from a quantitative perspective, but also reveal a plausible role played by the anatomic structures, such as the wing veins, in the PCD propagation across the Drosophila wing.
Starting Page	424
Ending Page	433
Page Count	10
ISSN	17519659
Volume Number	9
e-ISSN	17519667
Issue Number	Issue 5, May (2015)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-ipr/9/5
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2014.0531
Journal	IET Image Processing
Publisher Date	2014-12-01
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Apoptotic Programmed Cell Death Automatic Image Analysis Biology And Medical Computing Biology Computing Blood Vessels Cellular Biophysics Computer Vision And Image Processing Technique Developmental Maturation Drosophila Tissues Drosophila Wing Epithelium Apoptosis Eclosion Fluorescent Nuclear Marker Image Assessment Image Processing Live Tissues Microscopy Multicellular Apoptosis Process Multicellular Response Spatiotemporal Pattern Natural Anatomic Structure Optical, Image And Video Signal Processing PCD Progression Time-lapse Microscopy Wing Veins
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software

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