ArticleScience advances2021
De-scattering with Excitation Patterning enables rapid wide-field imaging through scattering media.
Article in Science advances, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed.
- Optimization of spatial and temporal sampling resolution for optophysiology in large-scale two-photon calcium imaging.Biomedical optics express · 2026Article
- Autofluorescence and deep learning in early disease detection: biological foundations, clinical applications, and future directions.Frontiers in artificial intelligence · 2026Review
- 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
- Compressive Fourier-Domain Intensity Coupling (C-FOCUS) enables near-millimeter deep imaging in the intact mouse brain in vivo.Research square · 2025Article
- Neurophotonics beyond the surface: unmasking the brain's complexity exploiting optical scattering.Neurophotonics · 2024Article
- 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
- Ultrafast laser state active controlling based on anisotropic quasi-1D material.Light, science & applications · 2024Article
- Neurophotonics beyond the Surface: Unmasking the Brain's Complexity Exploiting Optical Scattering.ArXiv · 2024Article
- Multiline Orthogonal Scanning Temporal Focusing (mosTF) Microscopy for Scattering Reduction in High-speedResearch square · 2023Article
- DEEP-squared: deep learning powered De-scattering with Excitation Patterning.Light, science & applications · 2023Article
- De-scattering Deep Neural Network Enables Fast Imaging of Spines through Scattering Media by Temporal Focusing Microscopy.Research square · 2023Article
- Three-dimensional bi-functional refractive index and fluorescence microscopy (BRIEF).Biomedical optics express · 2022Article
- Computational optics for high-throughput imaging of neural activity.Neurophotonics · 2022Review
- Remote Focusing in a Temporal Focusing Microscope.OSA continuum · 2021Article
- HiLo Based Line Scanning Temporal Focusing Microscopy for High-Speed, Deep Tissue Imaging.Membranes · 2021Article
- Learned adaptive multiphoton illumination microscopy for large-scale immune response imaging.Nature communications · 2021Article
- Advances in Chromatin and Chromosome Research: Perspectives from Multiple Fields.Molecular cell · 2020Review
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Authors and funding
8 authors.
Funding
Abstract
Nonlinear optical microscopy has enabled in vivo deep tissue imaging on the millimeter scale. A key unmet challenge is its limited throughput especially compared to rapid wide-field modalities that are used ubiquitously in thin specimens. Wide-field imaging methods in tissue specimens have found successes in optically cleared tissues and at shallower depths, but the scattering of emission photons in thick turbid samples severely degrades image quality at the camera. To address this challenge, we introduce a novel technique called De-scattering with Excitation Patterning or "DEEP," which uses patterned nonlinear excitation followed by computational imaging-assisted wide-field detection. Multiphoton temporal focusing allows high-resolution excitation patterns to be projected deep inside specimen at multiple scattering lengths due to the use of long wavelength light. Computational reconstruction allows high-resolution structural features to be reconstructed from tens to hundreds of DEEP images instead of millions of point-scanning measurements.
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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.