Share Email Print

Proceedings Paper

Detailed analysis of complex single molecule FRET data with the software MASH
Author(s): Mélodie C. A. S. Hadzic; Danny Kowerko; Richard Börner; Susann Zelger-Paulus; Roland K. O. Sigel
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

The processing and analysis of surface-immobilized single molecule FRET (Förster resonance energy transfer) data follows systematic steps (e.g. single molecule localization, clearance of different sources of noise, selection of the conformational and kinetic model, etc.) that require a solid knowledge in optics, photophysics, signal processing and statistics. The present proceeding aims at standardizing and facilitating procedures for single molecule detection by guiding the reader through an optimization protocol for a particular experimental data set. Relevant features were determined from single molecule movies (SMM) imaging Cy3- and Cy5-labeled group II intron molecules synthetically recreated, to test the performances of four different detection algorithms. Up to 120 different parameterizations per method were routinely evaluated to finally establish an optimum detection procedure. The present protocol is adaptable to any movie displaying surface-immobilized molecules, and can be easily reproduced with our home-written software MASH (multifunctional analysis software for heterogeneous data) and script routines (both available in the download section of

Paper Details

Date Published: 6 April 2016
PDF: 8 pages
Proc. SPIE 9711, Imaging, Manipulation, and Analysis of Biomolecules, Cells, and Tissues IX, 971119 (6 April 2016); doi: 10.1117/12.2211191
Show Author Affiliations
Mélodie C. A. S. Hadzic, Univ. of Zurich (Switzerland)
Danny Kowerko, Univ. of Zurich (Switzerland)
Technical Univ. Chemnitz (Germany)
Richard Börner, Univ. of Zurich (Switzerland)
Susann Zelger-Paulus, Univ. of Zurich (Switzerland)
Roland K. O. Sigel, Univ. of Zurich (Switzerland)

Published in SPIE Proceedings Vol. 9711:
Imaging, Manipulation, and Analysis of Biomolecules, Cells, and Tissues IX
Daniel L. Farkas; Dan V. Nicolau; Robert C. Leif, Editor(s)

© SPIE. Terms of Use
Back to Top