Evidence map›Paper›PMID 35096525›Full record

ArticlePhotoacoustics2022

Nanosecond SRS fiber amplifier for label-free near-infrared photoacoustic microscopy of lipids.

Hwidon Lee, Markus R Seeger, Norman Lippok, Seemantini K Nadkarni, Gijs van Soest, Brett E Bouma

Abstract read
In one paragraph

Article in Photoacoustics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Review
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  12. Photoacoustic imaging plus X: a review.Journal of biomedical optics · 2024
    Review
  13. Article
  14. Review
  15. Article
  16. Efficient label-freePhotoacoustics · 2023
    Article
  17. 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

6 authors.

Hwidon LeeHarvard Medical School, Boston, Massachusetts, MA 02115, USA.
Markus R SeegerHarvard Medical School, Boston, Massachusetts, MA 02115, USA.
Norman LippokHarvard Medical School, Boston, Massachusetts, MA 02115, USA.
Seemantini K NadkarniHarvard Medical School, Boston, Massachusetts, MA 02115, USA.
Gijs van SoestDepartment of Biomedical Engineering, Erasmus Medical Center, PO Box 2040, 3000 Rotterdam, CA The Netherlands.
Brett E BoumaHarvard Medical School, Boston, Massachusetts, MA 02115, USA.

Funding

TRD3: Percutaneous and Interstitial ImagingP41EB015903 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI Brett E Bouma · 2012 to 2026
$22.4M
NIBIB NIH HHS P41 EB015903
6 · The paper itself

Abstract

Near-infrared photoacoustics receives increasing interest as an intravital modality to sense key biomolecules. One of the most central types of biomolecules of interest are lipids as they constitute essential bio-hallmarks of cardiovascular and metabolic diseases and their in-vivo detection holds insightful information about disease progression and treatment monitoring. However, the full potential of near-infrared photoacoustic for high-resolution and high-sensitivity biomedical studies of lipids has so far not been exploited due a lack of appropriate excitation sources delivering short-pulses at high-repetition-rate, high-pulse-energy, and wavelength around 1200 nm. Here, we demonstrate a custom-built SRS fiber amplifier that provides optical excitations at 1192.8 nm, repetition rates of 200 kHz, pulse durations below 2 ns, and pulse energies beyond 5 μJ. We capitalize on the performance of our excitation source and show near-infrared photoacoustics resolving intrinsic lipid contrast in biomedically relevant specimens ranging from single cells to lipid-rich tissue with subcellular resolution.

Indexed as

Fiber amplifierLabel-free imagingLipidsNear-InfraredPhotoacoustic microscopyStimulated Raman scattering

Identifiers

PMID35096525
PMCPMC8783138

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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.