ArticleLight, science & applications2023
DEEP-squared: deep learning powered De-scattering with Excitation Patterning.
Article in Light, science & applications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
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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.
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.
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Who cites it
10 citing papers in PubMed.
- Physics-informed multi-encoder adaptive optics enables rapid aberration correction for intravital microscopy of deep complex tissue.Nature communications · 2026Article
- Descattering and image restoration with a transformer-based neural network in deep tissue imaging.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Multi-photon, label-free photoacoustic and optical imaging of NADH in brain cells.Light, science & applications · 2025Article
- Spectral Hadamard microscopy with metasurface-based patterned illumination.Nanophotonics (Berlin, Germany) · 2025Article
- Scattering correction through Fourier-domain intensity coupling in two-photon microscopy (2P-FOCUS).Photonics research · 2025Article
- Article
- 3D super-resolution optical fluctuation imaging with temporal focusing two-photon excitation.Biomedical optics express · 2024Article
- Multiline orthogonal scanning temporal focusing (mosTF) microscopy for scattering reduction in in vivo brain imaging.Scientific reports · 2024Article
- Innovative statistical approaches: the use of neural networks reduces the sample size in the splenectomy-MCAO mouse model.Croatian medical journal · 2024Article
- Robust single-shot 3D fluorescence imaging in scattering media with a simulator-trained neural network.Optics express · 2024Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
Limited throughput is a key challenge in in vivo deep tissue imaging using nonlinear optical microscopy. Point scanning multiphoton microscopy, the current gold standard, is slow especially compared to the widefield imaging modalities used for optically cleared or thin specimens. We recently introduced "De-scattering with Excitation Patterning" or "DEEP" as a widefield alternative to point-scanning geometries. Using patterned multiphoton excitation, DEEP encodes spatial information inside tissue before scattering. However, to de-scatter at typical depths, hundreds of such patterned excitations were needed. In this work, we present DEEP
Identifiers
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Registered trials
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.