Evidence map›Paper›PMID 40628809›Full record

ArticleScientific reports2025

Deep-tissue two-photon brain imaging enabled by a tunable fiber-optic dispersive wave generator.

Marvin Edelmann, Andreu Matamoros-Angles, Mohsin Shafiq, Mikhail Pergament, Markus Glatzel, Franz X Kärtner

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Marvin EdelmannCenter for Free-Electron Laser Science CFEL, Deutsches Elektronen-Synchrotron DESY, Notkestr. 85, 22607, Hamburg, Germany. marvin.edelmann@desy.de.
Andreu Matamoros-AnglesInstitute of Neuropathology, University Medical Center Hamburg-Eppendorf (UKE), Martinistr. 52, 20246, Hamburg, Germany.
Mohsin ShafiqInstitute of Neuropathology, University Medical Center Hamburg-Eppendorf (UKE), Martinistr. 52, 20246, Hamburg, Germany.
Mikhail PergamentDepartment of Physics, Universität Hamburg, Jungiusstr. 9, 20355, Hamburg, Germany.
Markus GlatzelInstitute of Neuropathology, University Medical Center Hamburg-Eppendorf (UKE), Martinistr. 52, 20246, Hamburg, Germany.
Franz X KärtnerCenter for Free-Electron Laser Science CFEL, Deutsches Elektronen-Synchrotron DESY, Notkestr. 85, 22607, Hamburg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Here, we present a fiber-optic dispersive wave generator for highly-efficient, wavelength-tunable ultrashort pulse generation, enabling multicolor deep-tissue two-photon imaging of neuronal and vascular structures in fixed, labeled mouse brain. Guided by comprehensive numerical simulations, a compact Yb: fiber laser-driven system is constructed that utilizes precisely parameter- and phase-matching-controlled dispersive wave generation in a photonic crystal fiber. The system delivers sub-100 fs pulses with over ~ 6.7 nJ of energy across a continuously tunable spectral range of 880-950 nm, achieving a record-high optical conversion efficiency of up to 65%. Optimizing the output for two-photon excitation of enhanced Green Fluorescent Protein and SYTOX Orange enables high-resolution structural imaging in mouse hippocampus and cerebellum at depths exceeding 450 μm. This technique for wavelength-tunable, high-energy and ultrashort pulse generation with record optical efficiency represents a significant advancement in ultrafast fiber laser technology for versatile biomedical two-photon imaging applications.

Indexed as

BrainFiber Optic TechnologyMicroscopy, Fluorescence, MultiphotonAnimalsHippocampusMiceOptical FibersPhotons

Identifiers

PMID40628809
PMCPMC12238497

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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.