Evidence map›Paper›PMID 30425308›Full record

ArticleScientific reports2018

Pulsed interleaved excitation-based line-scanning spatial correlation spectroscopy (PIE-lsSCS).

Xiang Gao, Peng Gao, Benedikt Prunsche, Karin Nienhaus, Gerd Ulrich Nienhaus

Abstract read
In one paragraph

Article in Scientific reports, 2018. 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. Illuminating amyloid fibrils: Fluorescence-based single-molecule approaches.Computational and structural biotechnology journal · 2021
    Review
  3. Article
  4. Article
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.

Xiang GaoInstitute of Applied Physics, Karlsruhe Institute of Technology, 76128, Karlsruhe, Germany.
Peng GaoInstitute of Applied Physics, Karlsruhe Institute of Technology, 76128, Karlsruhe, Germany.ORCID http://orcid.org/0000-0002-5354-3944
Benedikt PrunscheInstitute of Applied Physics, Karlsruhe Institute of Technology, 76128, Karlsruhe, Germany.
Karin NienhausInstitute of Applied Physics, Karlsruhe Institute of Technology, 76128, Karlsruhe, Germany.
Gerd Ulrich NienhausInstitute of Applied Physics, Karlsruhe Institute of Technology, 76128, Karlsruhe, Germany. uli@uiuc.edu.ORCID http://orcid.org/0000-0002-5027-3192

Funding

Helmholtz-Gemeinschaft (Helmholtz Gemeinschaft) STN
6 · The paper itself

Abstract

We report pulsed interleaved excitation (PIE) based line-scanning spatial correlation spectroscopy (PIE-lsSCS), a quantitative fluorescence microscopy method for the study of dynamics in free-standing lipid bilayer membranes. Using a confocal microscope, we scan multiple lines perpendicularly through the membrane, each one laterally displaced from the previous one by several ten nanometers. Scanning through the membrane enables us to eliminate intensity fluctuations due to membrane displacements with respect to the observation volume. The diffusion of fluorescent molecules within the membrane is quantified by spatial correlation analysis, based on the fixed lag times between successive line scans. PIE affords dual-color excitation within a single line scan and avoids channel crosstalk. PIE-lsSCS data are acquired from a larger membrane region so that sampling is more efficient. Moreover, the local photon flux is reduced compared with single-point experiments, resulting in a smaller fraction of photobleached molecules for identical exposure times. This is helpful for precise measurements on live cells and tissues. We have evaluated the method with experiments on fluorescently labeled giant unilamellar vesicles (GUVs) and membrane-stained live cells.

Indexed as

Cell Line, TumorHumansSpectrometry, FluorescenceUnilamellar LiposomesUnilamellar Liposomes

Identifiers

PMID30425308
PMCPMC6233157

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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.