Evidence map›Paper›PMID 34221672›Full record

ArticleBiomedical optics express2021

Complex wavelet filter improves FLIM phasors for photon starved imaging experiments.

P Wang, F Hecht, G Ossato, S Tille, S E Fraser, J A Junge

Abstract read
In one paragraph

Article in Biomedical optics express, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

  1. Article
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  5. Review
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  8. Fluorescence Lifetime Multiplexing with Environment-Sensitive Chemigenetic Probes.Chembiochem : a European journal of chemical biology · 2025
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  11. Article
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  13. 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

6 authors.

P WangTranslational Imaging Center, Dornsife School of Letters, Arts, and Sciences, University of Southern California, 1002 Childs Way, Los Angeles, CA 90089, USA.
F HechtLeica Microsystems CMS GmbH, Am Friedensplatz 3, Mannheim 68165, Germany.
G OssatoLeica Microsystems CMS GmbH, Am Friedensplatz 3, Mannheim 68165, Germany.
S TilleLeica Microsystems CMS GmbH, Am Friedensplatz 3, Mannheim 68165, Germany.
S E FraserTranslational Imaging Center, Dornsife School of Letters, Arts, and Sciences, University of Southern California, 1002 Childs Way, Los Angeles, CA 90089, USA.
J A JungeTranslational Imaging Center, Dornsife School of Letters, Arts, and Sciences, University of Southern California, 1002 Childs Way, Los Angeles, CA 90089, USA.ORCID https://orcid.org/0000-0002-9886-1751

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fluorescence lifetime imaging microscopy (FLIM) with phasor analysis provides easy visualization and analysis of fluorophores' lifetimes which is valuable for multiple applications including metabolic imaging, STED imaging, FRET imaging and functional imaging. However, FLIM imaging typically suffers from low photon budgets, leading to unfavorable signal to noise ratios which in many cases prevent extraction of information from the data. Traditionally, median filters are applied in phasor analysis to tackle this problem. This unfortunately degrades high spatial frequency FLIM information in the phasor analysis. These high spatial frequency components are typically edges of features and puncta, which applies to membranes, mitochondria, granules and small organelles in a biological sample. To tackle this problem, we propose a filtering strategy with complex wavelet filtering and Anscombe transform for FLIM phasor analysis. This filtering strategy preserves fine structures and reports accurate lifetimes in photon starved FLIM imaging. Moreover, this filter outperforms median filters and makes FLIM imaging with lower laser power and faster imaging possible.

Identifiers

PMID34221672
PMCPMC8221945

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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.