Share Email Print

Proceedings Paper

Functional imaging of skeletal muscle fiber in different physiological states by second harmonic generation
Author(s): V. Nucciotti; C. Stringari; L. Sacconi; F. Vanzi; C. Tesi; N. Piroddi; C. Poggesi; C. Castiglioni; A. Milani; M. Linari; G. Piazzesi; V. Lombardi; F. S. Pavone
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

The intrinsically ordered arrays of proteins in skeletal muscle allows imaging of this tissue by Second Harmonic Generation (SHG). Biochemical and colocalization studies have gathered an increasing wealth of clues for the attribution of the molecular origin of the muscle SHG signal to the motor protein myosin. Thus, SHG represents a potentially very powerful tool in the investigation of structural dynamics occurring in muscle during active production of force. A full characterization of the polarization-dependence of the SHG signal represents a very selective information on the orientation of the emitting proteins and their dynamics during contraction, provided that different physiological states of muscle (relaxed, rigor and active) exhibit distinct patterns of SHG polarization dependence. Here polarization data are obtained from single frog muscle fibers at rest and during isometric contraction and interpreted, by means of a model, in terms of an average orientation of the SHG emitters which are structured with a cylindrical symmetry about the fiber axis. Optimizing the setup for accurate polarization measurements with SHG, we developed a line scan imaging method allowing measurement of SHG polarization curves in different physiological states. We demonstrate that muscle fiber displays a measurable variation of the orientation of SHG emitters with the transition from rest to isometric contraction.

Paper Details

Date Published: 12 July 2007
PDF: 8 pages
Proc. SPIE 6630, Confocal, Multiphoton, and Nonlinear Microscopic Imaging III, 663004 (12 July 2007); doi: 10.1117/12.727962
Show Author Affiliations
V. Nucciotti, Univ. of Florence (Italy)
C. Stringari, Univ. of Florence (Italy)
L. Sacconi, Univ. of Florence (Italy)
F. Vanzi, Univ. of Florence (Italy)
C. Tesi, Univ. of Florence (Italy)
N. Piroddi, Univ. of Florence (Italy)
C. Poggesi, Univ. of Florence (Italy)
C. Castiglioni, Politecnico Milano (Italy)
A. Milani, Politecnico Milano (Italy)
M. Linari, Univ. of Florence (Italy)
G. Piazzesi, Univ. of Florence (Italy)
V. Lombardi, Univ. of Florence (Italy)
F. S. Pavone, Univ. of Florence (Italy)

Published in SPIE Proceedings Vol. 6630:
Confocal, Multiphoton, and Nonlinear Microscopic Imaging III
Tony Wilson; Ammasi Periasamy, Editor(s)

© SPIE. Terms of Use
Back to Top