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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/26333

Title: PAM: A Framework for Integrated Analysis of Imaging, Single-Molecule, and Ensemble Fluorescence Data
Authors: Schrimpf, Waldemar
Barth, Anders
Hendrix, Jelle
Lamb, Don C.
Issue Date: 2018
Citation: BIOPHYSICAL JOURNAL, 114(7), p. 1518-1528
Abstract: Fluorescence microscopy and spectroscopy data hold a wealth of information on the investigated molecules, structures, or organisms. Nowadays, the same fluorescence data set can be analyzed in many ways to extract different properties of the measured sample. Yet, doing so remains slow and cumbersome, often requiring incompatible software packages. Here, we present PAM (pulsed interleaved excitation analysis with MATLAB), an open-source software package written in MATLAB that offers a simple and efficient workflow through its graphical user interface. PAM is a framework for integrated and robust analysis of fluorescence ensemble, single-molecule, and imaging data. Although it was originally developed for the analysis of pulsed interleaved excitation experiments, PAM has since been extended to support most types of data collection modalities. It combines a multitude of powerful analysis algorithms, ranging from time-and space-correlation analysis, over single-molecule burst analysis, to lifetime imaging microscopy, while offering intrinsic support for multicolor experiments. We illustrate the key concepts and workflow of the software by discussing data handling and sorting and provide step-by-step descriptions for the individual usage cases.
Notes: Lamb, DC (reprint author), Ludwig Maximilians Univ Munchen, NIM, CIPSM, Dept Phys Chem, Munich, Germany, Ludwig Maximilians Univ Munchen, Ctr Nanosci CeNS, Munich, Germany. d.lamb@lmu.de
URI: http://hdl.handle.net/1942/26333
DOI: 10.1016/j.bpj.2018.02.035
ISI #: 000430214500003
ISSN: 0006-3495
Category: A1
Type: Journal Contribution
Appears in Collections: Research publications

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