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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/22748

Title: Arbitrary-Region Raster Image Correlation Spectroscopy
Authors: Hendrix, Jelle
Dekens, Tomas
Schrimpf, Waldemar
Lamb, Don C.
Issue Date: 2016
Publisher: CELL PRESS
Citation: BIOPHYSICAL JOURNAL, 111(8), p. 1785-1796
Abstract: Combining imaging with correlation spectroscopy, as in raster image correlation spectroscopy (RICS), makes it possible to extract molecular translational diffusion constants and absolute concentrations, and determine intermolecular interactions from single-channel or multicolor confocal laser-scanning microscopy (CLSM) images. Region-specific RICS analysis remains very challenging because correlations are always calculated in a square region-of-interest (ROI). In this study, we describe a generalized image correlation spectroscopy algorithm that accepts arbitrarily shaped ROIs. We show that an image series can be cleaned up before arbitrary-region RICS (ARICS) analysis. We demonstrate the power of ARICS by simultaneously measuring molecular mobility in the cell membrane and the cytosol. Mobility near dynamic subcellular structures can be investigated with ARICS by generating a dynamic ROI. Finally, we derive diffusion and concentration pseudo-maps using the ARICS method. ARICS is a powerful expansion of image correlation spectroscopy with the potential of becoming the new standard for extracting biophysical parameters from confocal fluorescence images.
Notes: [Hendrix, Jelle] Katholieke Univ Leuven, Lab Photochem & Spect, Div Mol Imaging & Photon, Leuven, Belgium. [Dekens, Tomas] Vrije Univ Brussel, Dept ETRO, Brussels, Belgium. [Dekens, Tomas] iMinds Vzw, Zwijnaarde, Belgium. [Schrimpf, Waldemar; Lamb, Don C.] Univ Munich, Dept Chem, Munich, Germany. [Hendrix, Jelle] Hasselt Univ, Fac Med & Life Sci, Diepenbeek, Belgium. [Hendrix, Jelle] Hasselt Univ, Biomed Res Inst, Diepenbeek, Belgium.
URI: http://hdl.handle.net/1942/22748
DOI: 10.1016/j.bpj.2016.09.012
ISI #: 000386315900022
ISSN: 0006-3495
Category: A1
Type: Journal Contribution
Validation: ecoom, 2017
Appears in Collections: Research publications

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