ArticleNature communications2021
Learned adaptive multiphoton illumination microscopy for large-scale immune response imaging.
Article in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 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
13 citing papers in PubMed, 31 citations in OpenAlex.
- Smart event-triggered MINFLUX microscopy to catch and follow rare events.Nature communications · 2026Article
- Intravital mesoscale optical imaging: challenges, techniques, and future perspectives.Biophysics reports · 2026Article
- Evaluation of a nanosecond dissipative soliton resonance fiber laser for multiphoton microscopy.Scientific reports · 2025Article
- AI-based hardware and software tools in microscopy to boost research in immunology and virology.Frontiers in immunology · 2025Review
- The rise of data-driven microscopy powered by machine learning.Journal of microscopy · 2024Article
- Live-cell imaging powered by computation.Nature reviews. Molecular cell biology · 2024Review
- Light-sheets and smart microscopy, an exciting future is dawning.Communications biology · 2023Review
- An open-source microscopy framework for simultaneous control of image acquisition, reconstruction, and analysis.HardwareX · 2023Article
- Adaptive Design of Fluorescence Imaging Systems for Custom Resolution, Fields of View, and Geometries.BME frontiers · 2023Article
- Event-driven acquisition for content-enriched microscopy.Nature methods · 2022Article
- Event-triggered STED imaging.Nature methods · 2022Article
- Learned adaptive multiphoton illumination microscopy for large-scale immune response imaging.Nature communications · 2021Article
- Resource allocation in mammalian systems.Biotechnology advancesReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors at 3 institutions in 1 country.
Funding
Abstract
Multiphoton microscopy is a powerful technique for deep in vivo imaging in scattering samples. However, it requires precise, sample-dependent increases in excitation power with depth in order to generate contrast in scattering tissue, while minimizing photobleaching and phototoxicity. We show here how adaptive imaging can optimize illumination power at each point in a 3D volume as a function of the sample's shape, without the need for specialized fluorescent labeling. Our method relies on training a physics-based machine learning model using cells with identical fluorescent labels imaged in situ. We use this technique for in vivo imaging of immune responses in mouse lymph nodes following vaccination. We achieve visualization of physiologically realistic numbers of antigen-specific T cells (~2 orders of magnitude lower than previous studies), and demonstrate changes in the global organization and motility of dendritic cell networks during the early stages of the immune response. We provide a step-by-step tutorial for implementing this technique using exclusively open-source hardware and software.
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What OpenQuestion holds
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.