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Department of Chemistry Sigel Lab

MATLAB-based Multifunctional Analysis Software for Handling sm-FRET data (MASH-FRET)

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Description

MASH-FRET is a Matlab-based software package for the analysis of single-molecule FRET videos and trajectories. The framework encompasses the entire workflow from localizing single molecule on videos to characterizing molecule dynamics.

References

  1. M.C.A.S. Hadzic, R. K.O. Sigel*, and R. Börner*, in DNAzymes. Methods in Molecular Biology,  2022, (2439), 173-190. doi https://doi.org/10.1007/978-1-0716-2047-2_12
  2. M.C.A.S. Hadzic, R. Börner*, D. Kowerko, S.L.B. Koenig, and R. K.O. Sigel*, J. of Phys. Chem. B, 2018, 122(23), 6134-6147. doi:10.1021/acs.jpcb.7b12483.
  3. R. Börner*, D. Kowerko, M. C. A. S. Hadzic, S. L. B. König, M. Ritter, Roland K. O. Sigel*, PlosOne, 2018, 13, e0195277. doi:10.1371/journal.pone.0195277 .
  4. R. Börner*, D. Kowerko*, H. G. Miserachs, M. F. Schaffer and R. K. O. Sigel*, Coord. Chem. Rev., 2016, 327-328, 123–142. doi:10.1016/j.ccr.2016.06.002
  5. M. C. A. S. Hadzic, D. Kowerko, R. Börner, S. Zelger-Paulus and R. K. O. Sigel*, Proc. SPIE, 2016, 9711, 971119. doi:10.1117/12.2211191

Release notes

  • September 2021: MASH-FRET v1.3.2
  • May 10 2019: MASH-FRET v1.2.0 is now available on github.
  • March 30 2019: MASH-FRET v1.1.2 is now available on github.
  • August 12 2018: MASH-FRET v1.1.1 is now available on github.
  • March 13 2018: MASH-FRET v1.1.0 is now available on github.
  • September 18 2017: the "final" first version of MASH-FRET v1.0.0 is available for download.

Documentation

The individual modules of MASH-FRET are documented here. Step-by-step tutorials guide you through the entire workflow from picking single-molecule all the way to determining state populations.

Group members involved: Melodie C.A.S Hadzic, Richard Börner, Susann Zelger-Paulus, Besim Fazli, Danny Kowerko, Fabio D. Steffen, Sebastian L.B. König

Download

MASH-FRET is available on GitHub. The software is updated annually, tested regularly, and we are working to improve it continuously. Feedback and bugs can be reported via GitHub as well.