Please use this identifier to cite or link to this item:
http://hdl.handle.net/1942/22748
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | HENDRIX, Jelle | - |
dc.contributor.author | Dekens, Tomas | - |
dc.contributor.author | Schrimpf, Waldemar | - |
dc.contributor.author | Lamb, Don C. | - |
dc.date.accessioned | 2016-11-24T13:49:25Z | - |
dc.date.available | 2016-11-24T13:49:25Z | - |
dc.date.issued | 2016 | - |
dc.identifier.citation | BIOPHYSICAL JOURNAL, 111(8), p. 1785-1796 | - |
dc.identifier.issn | 0006-3495 | - |
dc.identifier.uri | http://hdl.handle.net/1942/22748 | - |
dc.description.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. | - |
dc.description.sponsorship | Research was funded by the Research Foundation Flanders (FWO Vlaanderen), project n. G0B4915N. D.C.L. gratefully acknowledges the financial support of the "Deutsche Forschungsgemeinschaft" via the SFB1032 (Project B3) and the LMU via the LMUinnovativ program Biolmaging Network and the Center for NanoScience (CeNS). | - |
dc.language.iso | en | - |
dc.publisher | CELL PRESS | - |
dc.rights | (c) 2016 Biophysical Society. This is an open access article under the CC BY-NC-ND license (http:// creativecommons.org/licenses/by-nc-nd/4.0/). | - |
dc.title | Arbitrary-Region Raster Image Correlation Spectroscopy | - |
dc.type | Journal Contribution | - |
dc.identifier.epage | 1796 | - |
dc.identifier.issue | 8 | - |
dc.identifier.spage | 1785 | - |
dc.identifier.volume | 111 | - |
local.format.pages | 12 | - |
local.bibliographicCitation.jcat | A1 | - |
dc.description.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. | - |
local.publisher.place | CAMBRIDGE | - |
local.type.refereed | Refereed | - |
local.type.specified | Article | - |
dc.identifier.doi | 10.1016/j.bpj.2016.09.012 | - |
dc.identifier.isi | 000386315900022 | - |
item.fulltext | With Fulltext | - |
item.contributor | HENDRIX, Jelle | - |
item.contributor | Dekens, Tomas | - |
item.contributor | Schrimpf, Waldemar | - |
item.contributor | Lamb, Don C. | - |
item.accessRights | Open Access | - |
item.fullcitation | HENDRIX, Jelle; Dekens, Tomas; Schrimpf, Waldemar & Lamb, Don C. (2016) Arbitrary-Region Raster Image Correlation Spectroscopy. In: BIOPHYSICAL JOURNAL, 111(8), p. 1785-1796. | - |
item.validation | ecoom 2017 | - |
crisitem.journal.issn | 0006-3495 | - |
crisitem.journal.eissn | 1542-0086 | - |
Appears in Collections: | Research publications |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
hendrix 1.pdf | Published version | 2.82 MB | Adobe PDF | View/Open |
SCOPUSTM
Citations
21
checked on Sep 2, 2020
WEB OF SCIENCETM
Citations
36
checked on Apr 23, 2024
Page view(s)
54
checked on Sep 7, 2022
Download(s)
116
checked on Sep 7, 2022
Google ScholarTM
Check
Altmetric
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.