Evidence map›Paper›PMID 29359105›Full record

ArticleBiomedical optics express2018

Visualization of barriers and obstacles to molecular diffusion in live cells by spatial pair-cross-correlation in two dimensions.

Leonel Malacrida, Per Niklas Hedde, Suman Ranjit, Francesco Cardarelli, Enrico Gratton

Open access · goldAbstract read
In one paragraph

Article in Biomedical optics express, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
3.4field-weighted citation impact, top 7% of its field
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

17 citing papers in PubMed, 30 citations in OpenAlex.

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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

5 authors at 3 institutions in 3 countries.

Leonel Malacrida *Laboratory for Fluorescence Dynamics, Department of Biomedical Engineering, University of California, Irvine, USA.
Per Niklas Hedde *Laboratory for Fluorescence Dynamics, Department of Biomedical Engineering, University of California, Irvine, USA.
Suman RanjitLaboratory for Fluorescence Dynamics, Department of Biomedical Engineering, University of California, Irvine, USA.
Francesco CardarelliCenter for Nanotechnology Innovation @NEST, Istituto Italiano di Tecnologia, Piazza San Silvestro 12, 56127 Pisa, Italy.
Enrico GrattonLaboratory for Fluorescence Dynamics, Department of Biomedical Engineering, University of California, Irvine, USA.
Fluor (United States) · USUniversity of California, Irvine · USCenter for Nanotechnology Innovation · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite recent advances in optical super-resolution, we lack a method that can visualize the path followed by diffusing molecules in the cytoplasm or in the nucleus of cells. Fluorescence correlation spectroscopy (FCS) provides molecular dynamics at the single molecule level by averaging the behavior of many molecules over time at a single spot, thus achieving very good statistics but at only one point in the cell. Earlier image-based methods including raster-scan and spatiotemporal image correlation need spatial averaging over relatively large areas, thus compromising spatial resolution. Here, we use spatial pair-cross-correlation in two dimensions (2D-pCF) to obtain relatively high resolution images of molecular diffusion dynamics and transport in live cells. The 2D-pCF method measures the time for a particle to go from one location to another by cross-correlating the intensity fluctuations at specific points in an image. Hence, a visual map of the average path followed by molecules is created.

Indexed as

(110.2960) Image analysis(110.4155) Multiframe image processing(170.2520) Fluorescence microscopy

Identifiers

PMID29359105
PMCPMC5772584
OpenAlexW2776544823

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

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.