Evidence map›Paper›PMID 33268900›Full record

ArticleScientific reports2020

Fluorescence lifetime imaging with a megapixel SPAD camera and neural network lifetime estimation.

Vytautas Zickus, Ming-Lo Wu, Kazuhiro Morimoto, Valentin Kapitany, Areeba Fatima, Alex Turpin, Robert Insall, Jamie Whitelaw, Laura Machesky, Claudio Bruschini and 2 more

Abstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing 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

36 citing papers in PubMed.

  1. Article
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  3. Fluorescence-lifetime optical electrophysiology in contracting cardiomyocytes.Proceedings of the National Academy of Sciences of the United States of America · 2026
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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

12 authors.

Vytautas ZickusSchool of Physics and Astronomy, University of Glasgow, Glasgow, G12 8QQ, UK.
Ming-Lo WuAdvanced Quantum Architecture Laboratory, Ecole Polytechnique Fédérale de Lausanne, 2002, Neuchâtel, Switzerland.
Kazuhiro MorimotoAdvanced Quantum Architecture Laboratory, Ecole Polytechnique Fédérale de Lausanne, 2002, Neuchâtel, Switzerland.
Valentin KapitanySchool of Physics and Astronomy, University of Glasgow, Glasgow, G12 8QQ, UK.
Areeba FatimaSchool of Physics and Astronomy, University of Glasgow, Glasgow, G12 8QQ, UK.
Alex TurpinSchool of Computing Science, University of Glasgow, Glasgow, G12 8LT, UK.
Robert InsallUniversity of Glasgow Institute of Cancer Sciences, Glasgow, UK.
Jamie WhitelawUniversity of Glasgow Institute of Cancer Sciences, Glasgow, UK.
Laura MacheskyUniversity of Glasgow Institute of Cancer Sciences, Glasgow, UK.
Claudio BruschiniAdvanced Quantum Architecture Laboratory, Ecole Polytechnique Fédérale de Lausanne, 2002, Neuchâtel, Switzerland.
Daniele FaccioSchool of Physics and Astronomy, University of Glasgow, Glasgow, G12 8QQ, UK. daniele.faccio@glasgow.ac.uk.
Edoardo CharbonAdvanced Quantum Architecture Laboratory, Ecole Polytechnique Fédérale de Lausanne, 2002, Neuchâtel, Switzerland. edoardo.charbon@epfl.ch.

Funding

Swiss National Science Foundation CRSII5_177165
6 · The paper itself

Abstract

Fluorescence lifetime imaging microscopy (FLIM) is a key technology that provides direct insight into cell metabolism, cell dynamics and protein activity. However, determining the lifetimes of different fluorescent proteins requires the detection of a relatively large number of photons, hence slowing down total acquisition times. Moreover, there are many cases, for example in studies of cell collectives, where wide-field imaging is desired. We report scan-less wide-field FLIM based on a 0.5 MP resolution, time-gated Single Photon Avalanche Diode (SPAD) camera, with acquisition rates up to 1 Hz. Fluorescence lifetime estimation is performed via a pre-trained artificial neural network with 1000-fold improvement in processing times compared to standard least squares fitting techniques. We utilised our system to image HT1080-human fibrosarcoma cell line as well as Convallaria. The results show promise for real-time FLIM and a viable route towards multi-megapixel fluorescence lifetime images, with a proof-of-principle mosaic image shown with 3.6 MP.

Identifiers

PMID33268900
PMCPMC7710711

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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.