Evidence map›Paper›PMID 31668746›Full record

ArticleBiophysical journal2019

Raster Image Correlation Spectroscopy Performance Evaluation.

Marco Longfils, Nick Smisdom, Marcel Ameloot, Mats Rudemo, Veerle Lemmens, Guillermo Solís Fernández, Magnus Röding, Niklas Lorén, Jelle Hendrix, Aila Särkkä

Abstract read
In one paragraph

Article in Biophysical journal, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Review
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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

10 authors.

Marco LongfilsDepartment of Mathematical Sciences, Chalmers University of Technology and University of Gothenburg, Gothenburg, Sweden. Electronic address: longfils@chalmers.se.
Nick SmisdomStadius Centre for Dynamical Systems, Signal Processing and Data Analytics, KU Leuven, Leuven, Belgium; Advanced Optical Microscopy Centre, Biomedical Research Institute, Hasselt University, Diepenbeek, Belgium.
Marcel AmelootAdvanced Optical Microscopy Centre, Biomedical Research Institute, Hasselt University, Diepenbeek, Belgium.
Mats RudemoDepartment of Mathematical Sciences, Chalmers University of Technology and University of Gothenburg, Gothenburg, Sweden.
Veerle LemmensAdvanced Optical Microscopy Centre, Biomedical Research Institute, Hasselt University, Diepenbeek, Belgium; Dynamic Bioimaging Lab, Hasselt University, Diepenbeek, Belgium; Molecular Imaging and Photonics, Chemistry Department, KU Leuven, Heverlee, Belgium.
Guillermo Solís FernándezRISE Bioscience and Materials, Gothenburg, Sweden.
Magnus RödingRISE Bioscience and Materials, Gothenburg, Sweden.
Niklas LorénRISE Bioscience and Materials, Gothenburg, Sweden; Department of Physics, Chalmers University of Technology, Gothenburg, Sweden.
Jelle HendrixAdvanced Optical Microscopy Centre, Biomedical Research Institute, Hasselt University, Diepenbeek, Belgium; Dynamic Bioimaging Lab, Hasselt University, Diepenbeek, Belgium. Electronic address: jelle.hendrix@uhasselt.be.
Aila SärkkäDepartment of Mathematical Sciences, Chalmers University of Technology and University of Gothenburg, Gothenburg, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Raster image correlation spectroscopy (RICS) is a fluorescence image analysis method for extracting the mobility, concentration, and stoichiometry of diffusing fluorescent molecules from confocal image stacks. The method works by calculating a spatial correlation function for each image and analyzing the average of those by model fitting. Rules of thumb exist for RICS image acquisitioning, yet a rigorous theoretical approach to predict the accuracy and precision of the recovered parameters has been lacking. We outline explicit expressions to reveal the dependence of RICS results on experimental parameters. In terms of imaging settings, we observed that a twofold decrease of the pixel size, e.g., from 100 to 50 nm, decreases the error on the translational diffusion constant (D) between three- and fivefold. For D = 1 μm

Indexed as

Image Processing, Computer-AssistedSpectrum AnalysisAlgorithmsComputer SimulationConfidence IntervalsGreen Fluorescent ProteinsMonte Carlo MethodProbabilityenhanced green fluorescent proteinGreen Fluorescent Proteins

Identifiers

PMID31668746
PMCPMC7018992

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.