Evidence map›Paper›PMID 36303750›Full record

ArticleFrontiers in bioinformatics2021

Advanced Data Analysis for Fluorescence-Lifetime Single-Molecule Localization Microscopy.

Jan Christoph Thiele, Oleksii Nevskyi, Dominic A Helmerich, Markus Sauer, Jörg Enderlein

Open access · goldAbstract read
In one paragraph

Article in Frontiers in bioinformatics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.0field-weighted citation impact, top 12% 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

5 citing papers in PubMed, 13 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 2 institutions in 1 country.

Jan Christoph ThieleThird Institute of Physics-Biophysics, Georg August University, Göttingen, Germany.
Oleksii NevskyiThird Institute of Physics-Biophysics, Georg August University, Göttingen, Germany.
Dominic A HelmerichDepartment of Biotechnology and Biophysics, Biocenter, Julius-Maximilians-Universität Würzburg, Würzburg, Germany.
Markus SauerDepartment of Biotechnology and Biophysics, Biocenter, Julius-Maximilians-Universität Würzburg, Würzburg, Germany.
Jörg EnderleinThird Institute of Physics-Biophysics, Georg August University, Göttingen, Germany.
University of Göttingen · DEUniversity of Würzburg · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fluorescence-lifetime single molecule localization microscopy (FL-SMLM) adds the lifetime dimension to the spatial super-resolution provided by SMLM. Independent of intensity and spectrum, this lifetime information can be used, for example, to quantify the energy transfer efficiency in Förster Resonance Energy Transfer (FRET) imaging, to probe the local environment with dyes that change their lifetime in an environment-sensitive manner, or to achieve image multiplexing by using dyes with different lifetimes. We present a thorough theoretical analysis of fluorescence-lifetime determination in the context of FL-SMLM and compare different lifetime-fitting approaches. In particular, we investigate the impact of background and noise, and give clear guidelines for procedures that are optimized for FL-SMLM. We do also present and discuss our public-domain software package "Fluorescence-Lifetime TrackNTrace," which converts recorded fluorescence microscopy movies into super-resolved FL-SMLM images.

Indexed as

CRLB (Cramér-Rao lower bound) analysisFLIM (fluorescence lifetime imaging microscopy)fluoresence lifetime fittinglifetime uncertaintySMLM (single molecule localisation microscopy)super-resolution microscopy

Identifiers

PMID36303750
PMCPMC9581058
OpenAlexW3217333291

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.