Evidence map›Paper›PMID 39867356›Full record

ArticleOptica2021

Instant FLIM enables 4D

Yide Zhang, Ian H Guldner, Evan L Nichols, David Benirschke, Cody J Smith, Siyuan Zhang, Scott S Howard

Abstract read
In one paragraph

Article in Optica, 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
  2. Article
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  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Light-field tomographic fluorescence lifetime imaging microscopy.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  13. Imaging immunometabolismImmunometabolism (Cobham, Surrey) · 2024
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Real-time open-source FLIM analysis.Frontiers in bioinformatics · 2023
    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

7 authors.

Yide ZhangDepartment of Electrical Engineering, University of Notre Dame, Notre Dame, IN 46556, USA.
Ian H GuldnerDepartment of Biological Sciences, University of Notre Dame, Notre Dame, IN 46556, USA.
Evan L NicholsDepartment of Biological Sciences, University of Notre Dame, Notre Dame, IN 46556, USA.
David BenirschkeDepartment of Electrical Engineering, University of Notre Dame, Notre Dame, IN 46556, USA.
Cody J SmithDepartment of Biological Sciences, University of Notre Dame, Notre Dame, IN 46556, USA.
Siyuan ZhangDepartment of Biological Sciences, University of Notre Dame, Notre Dame, IN 46556, USA.
Scott S HowardDepartment of Electrical Engineering, University of Notre Dame, Notre Dame, IN 46556, USA.

Funding

Mechanisms of neuroinflammation in brain metastasis progressionR01CA222405 · NCI · UT SOUTHWESTERN MEDICAL CENTER · PI ZHANG, SIYUAN · 2018 to 2022
$2.2M
(PQD-3) Spatiotemporal Molecular Interrogation of Early Metastatic Evolution In SituR01CA194697 · NCI · UNIVERSITY OF NOTRE DAME · PI ZHANG, SIYUAN · 2015 to 2018
$1.4M
NCI NIH HHS R01 CA194697NCI NIH HHS R01 CA222405NINDS NIH HHS R01 NS107553
6 · The paper itself

Abstract

Traditional fluorescence microscopy is blind to molecular microenvironment information that is present in fluorescence lifetime, which can be measured by fluorescence lifetime imaging microscopy (FLIM). However, most existing FLIM techniques are slow to acquire and process lifetime images, difficult to implement, and expensive. Here, we present instant FLIM, an analog signal processing method that allows real-time streaming of fluorescence intensity, lifetime, and phasor imaging data through simultaneous image acquisition and instantaneous data processing. Instant FLIM can be easily implemented by upgrading an existing two-photon microscope using cost-effective components and our open-source software. We further improve the functionality, penetration depth, and resolution of instant FLIM using phasor segmentation, adaptive optics, and super-resolution techniques. We demonstrate through-skull intravital 3D FLIM of mouse brains to depths of 300 μm and present the first

Identifiers

PMID39867356
PMCPMC11759494

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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.