Evidence map›Paper›PMID 24420265›Full record

ReviewProtoplasma2014

Quantifying intracellular dynamics using fluorescence fluctuation spectroscopy.

Mark A Hink

Abstract readReview
PubMed Publisher
In one paragraph

Review in Protoplasma, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
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

1 author.

Mark A HinkSection of Molecular Cytology, van Leeuwenhoek Centre for Advanced Microscopy (LCAM), Swammerdam Institute for Life Sciences (SILS), University of Amsterdam, Sciencepark 904, 1098 XH, Amsterdam, The Netherlands, m.a.hink@uva.nl.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Originally developed for the field of physical chemistry, fluorescence fluctuation spectroscopy (FFS) has evolved to a family of methods to quantify concentrations, diffusion rates and interactions of fluorescently labelled molecules. The possibility to measure at the nanomolar concentration level and to combine these techniques with microscopy allow to study biological processes with high sensitivity in the living cell. In this review, the basic principles, challenges and recent developments of the most common FFS methods are being discussed and illustrated by intracellular applications.

Indexed as

AnimalsBiotechnologyHumansNanotechnologySpectrometry, Fluorescence

Identifiers

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.