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Journal of Biomedical Optics

Automated cardiac sarcomere analysis from second harmonic generation images
Author(s): Patricia Garcia-Canadilla; Anna Gonzalez-Tendero; Igor Iruretagoyena; Fatima Crispi; Iratxe Torre; Ivan Amat-Roldan; Bart H. Bijnens; Eduard Gratacos
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Paper Abstract

Automatic quantification of cardiac muscle properties in tissue sections might provide important information related to different types of diseases. Second harmonic generation (SHG) imaging provides a stain-free microscopy approach to image cardiac fibers that, combined with our methodology of the automated measurement of the ultrastructure of muscle fibers, computes a reliable set of quantitative image features (sarcomere length, A-band length, thick–thin interaction length, and fiber orientation). We evaluated the performance of our methodology in computer-generated muscle fibers modeling some artifacts that are present during the image acquisition. Then, we also evaluated it by comparing it to manual measurements in SHG images from cardiac tissue of fetal and adult rabbits. The results showed a good performance of our methodology at high signal-to-noise ratio of 20 dB. We conclude that our automated measurements enable reliable characterization of cardiac fiber tissues to systematically study cardiac tissue in a wide range of conditions.

Paper Details

Date Published: 22 May 2014
PDF: 8 pages
J. Biomed. Opt. 19(5) 056010 doi: 10.1117/1.JBO.19.5.056010
Published in: Journal of Biomedical Optics Volume 19, Issue 5
Show Author Affiliations
Patricia Garcia-Canadilla, Univ. de Barcelona (Spain)
Univ. Pompeu Fabra (Spain)
Anna Gonzalez-Tendero, Univ. de Barcelona (Spain)
Igor Iruretagoyena, Univ. de Barcelona (Spain)
Fatima Crispi, Univ. de Barcelona (Spain)
Iratxe Torre, Univ. de Barcelona (Spain)
Ivan Amat-Roldan, Univ. de Barcelona (Spain)
Bart H. Bijnens, Univ. Pompeu Fabra (Spain)
ICREA (Spain)
Eduard Gratacos, Univ. de Barcelona (Spain)


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