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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

An image processing approach to analyze morphological features of microscopic images of muscle fibers

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Comin, Cesar Henrique [1] ; Xu, Xiaoyin [2] ; Wang, Yaming [3] ; Costa, Luciano da Fontoura [1] ; Yang, Zhong [4]
Total Authors: 5
[1] Univ Sao Paulo, Inst Phys Sao Carlos, Sao Paulo - Brazil
[2] Harvard Univ, Brigham & Womens Hosp, Sch Med, Dept Radiol, Boston, MA 02115 - USA
[3] Harvard Univ, Brigham & Womens Hosp, Sch Med, Dept Anesthesia, Boston, MA 02115 - USA
[4] Third Mil Med Univ, Dept Clin Hematol, Chongqing - Peoples R China
Total Affiliations: 4
Document type: Journal article
Source: Computerized Medical Imaging and Graphics; v. 38, n. 8, p. 803-814, DEC 2014.
Web of Science Citations: 2

We present an image processing approach to automatically analyze duo-channel microscopic images of muscular fiber nuclei and cytoplasm. Nuclei and cytoplasm play a critical role in determining the health and functioning of muscular fibers as changes of nuclei and cytoplasm manifest in many diseases such as muscular dystrophy and hypertrophy. Quantitative evaluation of muscle fiber nuclei and cytoplasm thus is of great importance to researchers in musculoskeletal studies. The proposed computational approach consists of steps of image processing to segment and delineate cytoplasm and identify nuclei in two-channel images. Morphological operations like skeletonization is applied to extract the length of cytoplasm for quantification. We tested the approach on real images and found that it can achieve high accuracy, objectivity, and robustness. (C) 2014 Elsevier Ltd. All rights reserved. (AU)

FAPESP's process: 11/22639-8 - Unveiling the relationship between structure and dynamics on modular networks
Grantee:Cesar Henrique Comin
Support type: Scholarships in Brazil - Doctorate
FAPESP's process: 11/50761-2 - Models and methods of e-Science for life and agricultural sciences
Grantee:Roberto Marcondes Cesar Junior
Support type: Research Projects - Thematic Grants