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New microscopic image sequence-driven cell deformation model

Content Provider	IET Digital Library
Author	He, Fuyun Jiang, F. Jiang, Yanyan Ling, Sai Ho
Abstract	It is of great significance that making quantitative description and analysis of the cell morphological change to explore physiological or pathological status of the life. To achieve the cells morphological changes of quantitative description, the authors constructed a cell deformation model based on microscopic image sequence here. Based on the graph regularisation and structured matrix decomposition, the high-dimensional shape space is represented by the linear combination of the low-dimension subshape space, so that the authors get a quantitative indicator which represents the degree of cell deformation–deformation factor. In order to verify the validity of the authors’ model, a deformation feature extraction experiment was performed on three groups of stem cell image sequence with different deformation degree. Compared with other three common quantitative methods of deformation, the authors’ model describes the cell morphological changes more comprehensively, and has better adaptability and stability for describing the diversity of cell movements.
Starting Page	1587
Ending Page	1589
Page Count	3
Volume Number	2018
e-ISSN	20513305
Issue Number	Issue 16, Nov (2018)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/joe/2018/16
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/joe.2018.8281
Journal	The Journal of Engineering
Publisher	The Institution of Engineering and Technology
Publisher Date	2018-08-16
Access Restriction	Open
Rights License	Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/)
Subject Keyword	Algebra Biology And Medical Computing Biology Computing Cell Deformation–deformation Factor Cell Morphological Change Cell Morphological Changes Cell Movements Cellular Biophysics Combinatorial Mathematics Computer Vision And Image Processing Technique Deformation Degree Deformation Feature Extraction Experiment Feature Extraction Graph Theory High-dimensional Shape Space Image Sequence Low-dimension Subshape Space Matrix Decomposition Microscopic Image Sequence-driven Cell Deformation Model Optical, Image And Video Signal Processing Pathological Status Physiological Model Physiological Status Quantitative Description Quantitative Indicator Stem Cell Image Sequence
Content Type	Text
Resource Type	Article

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