Evidence map›Paper›PMID 27760364›Full record

ArticleBiophysical journal2016

Arbitrary-Region Raster Image Correlation Spectroscopy.

Jelle Hendrix, Tomas Dekens, Waldemar Schrimpf, Don C Lamb

Abstract read
In one paragraph

Article in Biophysical journal, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

30 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Jelle HendrixLaboratory for Photochemistry and Spectroscopy, Division of Molecular Imaging and Photonics, KU Leuven, Leuven, Belgium. Electronic address: jelle_hendrix@hotmail.com.
Tomas DekensDepartment of ETRO, Vrije Universiteit Brussel, Brussels, Belgium; iMinds vzw, Zwijnaarde, Belgium.
Waldemar SchrimpfDepartment of Chemistry, Ludwig-Maximilians-Universität München, München, Germany.
Don C LambDepartment of Chemistry, Ludwig-Maximilians-Universität München, München, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Microscopy, ConfocalSpectrum AnalysisAlgorithmsCell MembraneDiffusionHeLa CellsHumansImage Processing, Computer-Assisted

Identifiers

PMID27760364
PMCPMC5073057

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.