Automated image analysis of skeletal muscle fiber cross-sectional area

Journal of Applied Physiology

Volumn 114, Issue 1, 2013, Pages 148-155

  Mula, Jyothi ^a   Lee, Jonah D ^a   Liu, Fujun ^b   Yang, Lin ^b   Peterson, Charlotte A ^a  

^a UNIVERSITY OF KENTUCKY   (United States)

^b UNIVERSITY OF KENTUCKY COLLEGE OF PUBLIC HEALTH   (United States)

Author keywords

Automated software; Cross sectional area; Image analysis; Muscle

Indexed keywords

ALGORITHM; ANIMAL; ARTICLE; ARTIFACT; BIOLOGICAL MODEL; COMPUTER PROGRAM; CYTOCHEMISTRY; CYTOLOGY; HISTOLOGY; IMAGE PROCESSING; MALE; METHODOLOGY; MOUSE; OBSERVER VARIATION; PHYSIOLOGY; SKELETAL MUSCLE;

ALGORITHMS; ANIMALS; ARTIFACTS; HISTOCYTOCHEMISTRY; IMAGE PROCESSING, COMPUTER-ASSISTED; MALE; MICE; MODELS, BIOLOGICAL; MUSCLE FIBERS, SKELETAL; MUSCLE, SKELETAL; OBSERVER VARIATION; SOFTWARE;

EID: 84871791712     PISSN: 87507587     EISSN: 15221601     Source Type: Journal    
DOI: 10.1152/japplphysiol.01022.2012     Document Type: Article

References (14)

1. Altman DG, Paton KA, Slavin G, Taylor AC, Ward P. Measurement of muscle fibre diameter by computer-aided image analysis. Int J Man-Machine Studies 14: 437-447, 1981.
2. Cooke R. Actomyosin interaction in striated muscle. Physiol Rev 77: 671-697, 1997.
3. Frangi AF, Niessen WJ, Vincken KL, Viergever MA, Colchester A, Wells WM, Delp S. Multiscale vessel enhancement filtering. International Conference on Medical Image Computing and Computer-Assisted Intervention, Vol. 1496, p.130-37, 1998.
4. Hidestrand M, Richards-Malcolm S, Gurley CM, Nolen G, Grimes B, Waterstrat A, Zant GV, Peterson CA. Sca-1-expressing nonmyogenic cells contribute to fibrosis in aged skeletal muscle. J Gerontol A Biol Sci Med Sci 63: 566-579, 2008.
5. Koopman R, Zorenc AH, Gransier RJ, Cameron-Smith D, van Loon LJ. Increase in S6K1 phosphorylation in human skeletal muscle following resistance exercise occurs mainly in type II muscle fibers. Am J Physiol Endocrinol Metab 290: E1245-E1252, 2006.
6. Kostrominova TY. Application of WGA lectin staining for visualization of the connective tissue in skeletal muscle, bone, and ligament/tendon studies. Microsc Res Tech 74: 18-22, 2011.
7. McCall GE, Byrnes WC, Dickinson A, Pattany PM, Fleck SJ. Muscle fiber hypertrophy, hyperplasia, and capillary density in college men after resistance training. J Appl Physiol 81: 2004-2012, 1996.
8. McCarthy JJ, Mula J, Miyazaki M, Erfani R, Garrison K, Farooqui AB, Srikuea R, Lawson BA, Grimes B, Keller C, Van Zant G, Campbell KS, Esser KA, Dupont-Versteegden EE, Peterson CA. Effective fiber hypertrophy in satellite cell-depleted skeletal muscle. Development 138: 3657-3666, 2011.
9. Minamoto VB, Hulst JB, Lim M, Peace WJ, Bremner SN, Ward SR, Lieber RL. Increased efficacy and decreased systemic-effects of botulinum toxin A injection after active or passive muscle manipulation. Dev Med Child Neurol 49: 907-914, 2007.
10. Moritani T, DeVries HA. Neural factors versus hypertrophy in the time course of muscle strength gain. Am J Phys Med Rehabil 58: 115-130, 1979.
11. .Otsu N. A threshold selection method from gray-level histograms. IEEE Trans Syst Man Cybern B Cybern. 9: 62-66, 1979.
12. Papadopulos F, Spinelli M, Valente S, Foroni L, Orrico C, Alviano F, Pasquinelli G. Common tasks in microscopic and ultrastructural image analysis using ImageJ. Ultrastruct Pathol 31: 401-407, 2007.
13. Senf SM, Dodd SL, Judge AR. FOXO signaling is required for disuse muscle atrophy and is directly regulated by Hsp70. Am J Physiol Cell Physiol 298: C38-C45, 2010.
14. Yang L, Meer P, Foran DJ. Unsupervised analysis of imaged pathology specimens based on robust estimation and color active contour models. IEEE Trans Inf Technol Biomed. 9: 475-486, 2005.