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Title: Arbitrary-Region Raster Image Correlation Spectroscopy
Authors: Hendrix, Jelle 
Dekens, Tomas
Schrimpf, Waldemar
Lamb, Don C.
Issue Date: 2016
Publisher: CELL PRESS
Source: 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.
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ISSN: 0006-3495
e-ISSN: 1542-0086
DOI: 10.1016/j.bpj.2016.09.012
ISI #: 000386315900022
Rights: (c) 2016 Biophysical Society. This is an open access article under the CC BY-NC-ND license (http://
Category: A1
Type: Journal Contribution
Validations: ecoom 2017
Appears in Collections:Research publications

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