ArticleNature biotechnology2016
Adaptive light-sheet microscopy for long-term, high-resolution imaging in living organisms.
Article in Nature biotechnology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 141 papers.
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.
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.
Who cites it
141 citing papers in PubMed.
- Single-cell transcriptional dynamics in a living vertebrate.Cell systems · 2026Article
- Multi-immersion oblique plane microscope (miOPM): a reconfigurable platform for high-resolution light-sheet fluorescence microscopy.Nature methods · 2026Article
- Graph-based modeling of optical system enables adaptive optics on dynamic samples with self-calibration.iScience · 2026Article
- From EM to AI: Multiscale imaging of the secretory pathway with insights from plant cells.Journal of microscopy · 2026Review
- Review
- Axially Swept Light-Sheet Microscopy using scattering and fluorescence contrast mechanisms.Proceedings of SPIE--the International Society for Optical Engineering · 2026Article
- Limblab: pipeline for 3D analysis and visualisation of limb bud gene expression.BMC bioinformatics · 2026Article
- A flexible framework for automated STED super-resolution microscopy.Scientific reports · 2026Article
- Visualizing the multidimensional landscape of biological variation in modern microscopy.Frontiers in bioinformatics · 2026Article
- Closed-loop optogenetic control of cell biology enables outcome-driven microscopy.Nature communications · 2025Article
- Fast volumetric fluorescence lifetime imaging of multicellular systems using single-objective light-sheet microscopy.Communications biology · 2025Article
- MIFA: Metadata, Incentives, Formats and Accessibility guidelines to improve the reuse of AI datasets for bioimage analysis.Nature methods · 2025Review
- Real-time self-supervised denoising for high-speed fluorescence neural imaging.Nature communications · 2025Article
- Multi-immersion Oblique Plane Microscope (miOPM): A reconfigurable platform for high-resolution Light-Sheet Fluorescence Microscopy.bioRxiv : the preprint server for biology · 2025Article
- Feature-driven whole-tissue imaging with subcellular resolution.Cell reports methods · 2025Article
- In toto analysis of embryonic organisation reduces tissue diversity to two archetypes requiring specific cadherins.Nature communications · 2025Article
- Self-driving microscopy detects the onset of protein aggregation and enables intelligent Brillouin imaging.Nature communications · 2025Article
- Imaging 3D cell cultures with optical microscopy.Nature methods · 2025Review
- Quality control maps: Real-time quantitative control of single-molecule localization microscopy data.Biophysical journal · 2025Article
- Active remote focus stabilization in oblique plane microscopy.Biomedical optics express · 2025Article
81 more citing papers are in PubMed but not listed here.
Corrections and comments
- Commented on by
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Optimal image quality in light-sheet microscopy requires a perfect overlap between the illuminating light sheet and the focal plane of the detection objective. However, mismatches between the light-sheet and detection planes are common owing to the spatiotemporally varying optical properties of living specimens. Here we present the AutoPilot framework, an automated method for spatiotemporally adaptive imaging that integrates (i) a multi-view light-sheet microscope capable of digitally translating and rotating light-sheet and detection planes in three dimensions and (ii) a computational method that continuously optimizes spatial resolution across the specimen volume in real time. We demonstrate long-term adaptive imaging of entire developing zebrafish (Danio rerio) and Drosophila melanogaster embryos and perform adaptive whole-brain functional imaging in larval zebrafish. Our method improves spatial resolution and signal strength two to five-fold, recovers cellular and sub-cellular structures in many regions that are not resolved by non-adaptive imaging, adapts to spatiotemporal dynamics of genetically encoded fluorescent markers and robustly optimizes imaging performance during large-scale morphogenetic changes in living organisms.
Indexed as
Identifiers
27798562What 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.