Towards automatic image analysis and assessment of the multicellular apoptosis process. Issue 5 (1st May 2015)

• Record Type: Journal Article
• Authors: Ziraldo, Riccardo; Link, Nichole; Abrams, John; Ma, Lan
• Is Part Of: IET image processing. Volume 9:Issue 5(2015)
• Page Start: 424
• Page End: 433
• Publication Date: 2015-05-01
• Subjects: cellular biophysics -- image processing -- microscopy -- blood vessels -- biology computing; automatic image analysis -- image assessment -- multicellular apoptosis process -- apoptotic programmed cell death -- developmental maturation -- time‐lapse microscopy -- live tissues -- fluorescent nuclear marker -- multicellular response spatiotemporal patterns -- Drosophila wing epithelium apoptosis -- eclosion -- natural anatomic structures -- PCD progression -- Drosophila tissues -- wing veins; Image processing -- Periodicals; 621.36705
• DOI: 10.1049/iet-ipr.2014.0531
• Languages: English
• ISSNs: 1751-9659

Abstract

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 (>10 3 ) 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.