Evidence map›Paper›PMID 27088314›Full record

ArticleNature methods2016

siFLIM: single-image frequency-domain FLIM provides fast and photon-efficient lifetime data.

Marcel Raspe, Katarzyna M Kedziora, Bram van den Broek, Qiaole Zhao, Sander de Jong, Johan Herz, Marieke Mastop, Joachim Goedhart, Theodorus W J Gadella, Ian T Young and 1 more

Abstract read
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Article in Nature methods, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing 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

40 citing papers in PubMed.

  1. Article
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  17. Identifying lipid particle sub-types in liveFrontiers in chemistry · 2023
    Article
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  20. 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

11 authors.

Marcel RaspeDepartment of Cell Biology, The Netherlands Cancer Institute, Amsterdam, the Netherlands.
Katarzyna M KedzioraDepartment of Cell Biology, The Netherlands Cancer Institute, Amsterdam, the Netherlands.
Bram van den BroekDepartment of Cell Biology, The Netherlands Cancer Institute, Amsterdam, the Netherlands.ORCID 0000-0003-1037-907X
Qiaole ZhaoDepartment of Imaging Physics, Delft University of Technology, Delft, the Netherlands.
Sander de JongLambert Instruments B.V., Groningen, the Netherlands.
Johan HerzLambert Instruments B.V., Groningen, the Netherlands.
Marieke MastopSwammerdam Institute for Life Sciences, Section of Molecular Cytology, University of Amsterdam, Amsterdam, the Netherlands.
Joachim GoedhartSwammerdam Institute for Life Sciences, Section of Molecular Cytology, University of Amsterdam, Amsterdam, the Netherlands.
Theodorus W J GadellaSwammerdam Institute for Life Sciences, Section of Molecular Cytology, University of Amsterdam, Amsterdam, the Netherlands.
Ian T YoungDepartment of Imaging Physics, Delft University of Technology, Delft, the Netherlands.
Kees JalinkDepartment of Cell Biology, The Netherlands Cancer Institute, Amsterdam, the Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We developed single-image fluorescence lifetime imaging microscopy (siFLIM), a method for acquiring quantitative lifetime images from a single exposure. siFLIM takes advantage of a new generation of dedicated cameras that simultaneously record two 180°-phase-shifted images, and it allows for video-rate lifetime imaging with minimal phototoxicity and bleaching. siFLIM is also inherently immune to artifacts stemming from rapid cellular movements and signal transients.

Indexed as

CalciumCalibrationFluorescent DyesHeLa CellsHistamineHumansImage EnhancementImage Interpretation, Computer-AssistedMicroscopy, FluorescencePhotonsTime-Lapse ImagingCalciumFluorescent DyesHistamine

Identifiers

PMID27088314

What OpenQuestion holds

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Registered trials

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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.