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

Autor(es)

Comin, Cesar Henrique ^[1] ; Xu, Xiaoyin ^[2] ; Wang, Yaming ^[3] ; Costa, Luciano da Fontoura ^[1] ; Yang, Zhong ^[4]

Afiliação do(s) autor(es)

^[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

• Tipo de documento: Artigo Científico
• Fonte: Computerized Medical Imaging and Graphics; v. 38, n. 8, p. 803-814, DEC 2014.
• Citações Web of Science: 2

Resumo

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)

• Processo FAPESP: 11/22639-8 - Estudo da relação estrutura-dinâmica em redes modulares
• Beneficiário: Cesar Henrique Comin
• Modalidade de apoio: Bolsas no Brasil - Doutorado
• Processo FAPESP: 11/50761-2 - Modelos e métodos de e-Science para ciências da vida e agrárias
• Beneficiário: Roberto Marcondes Cesar Junior
• Modalidade de apoio: Auxílio à Pesquisa - Temático