Evidence map›Paper›PMID 37937198›Full record

ArticleNeurophotonics2023

Pulse train gating to improve signal generation for

Shaun A Engelmann, Alankrit Tomar, Aaron L Woods, Andrew K Dunn

Abstract read
In one paragraph

Article in Neurophotonics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Shaun A EngelmannUniversity of Texas at Austin, Department of Biomedical Engineering, Austin, Texas, United States.ORCID https://orcid.org/0000-0002-2410-896X
Alankrit TomarUniversity of Texas at Austin, Department of Biomedical Engineering, Austin, Texas, United States.
Aaron L WoodsUniversity of Texas at Austin, Department of Biomedical Engineering, Austin, Texas, United States.ORCID https://orcid.org/0000-0001-6786-9243
Andrew K DunnUniversity of Texas at Austin, Department of Biomedical Engineering, Austin, Texas, United States.ORCID https://orcid.org/0000-0001-6500-5783

Funding

Longitudinal Imaging of Cortical Small Vessel Network Structure with Two-Color Multiphoton Fluorescence MicroscopyR01NS108484 · NINDS · UNIVERSITY OF TEXAS AT AUSTIN · PI DUNN, ANDREW K · 2018 to 2022
$2.8M
Comprehensive Training Program in Imaging Science and InformaticsT32EB007507 · NIBIB · UNIVERSITY OF TEXAS AT AUSTIN · PI MARKEY, MIA K, RYLANDER, HENRY GRADY · 2009 to 2024
$2.7M
NIBIB NIH HHS T32 EB007507NINDS NIH HHS R01 NS108484
6 · The paper itself

Abstract

Significance: Two-photon microscopy is used routinely for Aim: We investigate how the signal generation, signal-to-noise ratio (SNR), and signal-to-background ratio (SBR) improve with pulse gating while imaging Approach: An electro-optic modulator with a high-power (6 W) 80 MHz repetition rate ytterbium fiber amplifier is used to create gates of pulses at a 1 MHz repetition rate. We first measure signal generation from a Texas Red solution in a cuvette to characterize the system with no gating and at a 50%, 25%, and 12.5% duty cycle. We then compare the signal generation, SNR, and SBR when imaging Texas Red-labeled vasculature using these conditions. Results: We find up to a 6.73-fold increase in fluorescent signal from a cuvette when using a 12.5% duty cycle pulse gating excitation pattern as opposed to a constant 80 MHz pulse train at the same average power. We verify similar increases for Conclusions: We demonstrate that a pulse gating strategy can either be used to limit heating when imaging superficial brain regions or used to increase signal generation in deep regions. These findings should encourage others to adopt similar pulse gating excitation schemes for imaging neural structures through two-photon microscopy.

Indexed as

neurovascular imagingpulse gatingpulse reductiontwo-photon microscopyultrafast lasers

Identifiers

PMID37937198
PMCPMC10627479

What OpenQuestion holds

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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.