ArticleNature methods2023
DBlink: dynamic localization microscopy in super spatiotemporal resolution via deep learning.
Article in Nature methods, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
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Who cites it
25 citing papers in PubMed, 48 citations in OpenAlex.
- AI-empowered super-resolution microscopy: a revolution in nanoscale cellular imaging.Nature methods · 2026Review
- Versatile and Scalable Reflective Micromirrors for Single-Objective Light Sheet Microscopy.Nano letters · 2026Article
- Deep Learning for Localization Microscopy in 2D and 3D.Accounts of chemical research · 2026Article
- Versatile and Scalable Reflective Micromirrors for Single-Objective Light Sheet Microscopy.bioRxiv : the preprint server for biology · 2026Article
- Fast, Bright, and Reversible Fluorescent Labeling of Rhodamine-Binding Proteins.Journal of the American Chemical Society · 2026Article
- Advanced Imaging for Live-Cell Spatiotemporal Monitoring: Technologies and Applications.Research (Washington, D.C.) · 2026Review
- Volumetric localization microscopy with deep learning.Nature communications · 2025Article
- One-click reconstruction in single-molecule localization microscopy via experimental parameter-aware deep learning.Npj imaging · 2025Article
- Deep learning in chromatin organization: from super-resolution microscopy to clinical applications.Cellular and molecular life sciences : CMLS · 2025Review
- Regularized Gradient Statistics Improve Generative Deep Learning Models of Super Resolution Microscopy.Small methods · 2025Article
- The Role of Hydrogen Sulfide in the Localization and Structural-Functional Organization of p53 Following Traumatic Brain Injury: Development of a YOLO Model for Detection and Quantification of Apoptotic Nuclei.International journal of molecular sciences · 2025Article
- Article
- Resolving the Orientations of and Angular Separation Between a Pair of Dipole Emitters.Physical review letters · 2025Article
- This Microtubule Does Not Exist: Super-Resolution Microscopy Image Generation by a Diffusion Model.Small methods · 2025Article
- Single-shot super-resolved fringe projection profilometry (SSSR-FPP): 100,000 frames-per-second 3D imaging with deep learning.Light, science & applications · 2025Article
- Deep learning-enabled filter-free fluorescence microscope.Science advances · 2025Article
- Content-aware motion correction for multi-shot imaging.Nature methods · 2024Article
- AI analysis of super-resolution microscopy: Biological discovery in the absence of ground truth.The Journal of cell biology · 2024Review
- Digital-SMLM for precisely localizing emitters within the diffraction limit.Nanophotonics (Berlin, Germany) · 2024Article
- Live-cell imaging powered by computation.Nature reviews. Molecular cell biology · 2024Review
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 2 countries.
Funding
Abstract
Single-molecule localization microscopy (SMLM) has revolutionized biological imaging, improving the spatial resolution of traditional microscopes by an order of magnitude. However, SMLM techniques require long acquisition times, typically a few minutes, to yield a single super-resolved image, because they depend on accumulation of many localizations over thousands of recorded frames. Hence, the capability of SMLM to observe dynamics at high temporal resolution has always been limited. In this work, we present DBlink, a deep-learning-based method for super spatiotemporal resolution reconstruction from SMLM data. The input to DBlink is a recorded video of SMLM data and the output is a super spatiotemporal resolution video reconstruction. We use a convolutional neural network combined with a bidirectional long short-term memory network architecture, designed for capturing long-term dependencies between different input frames. We demonstrate DBlink performance on simulated filaments and mitochondria-like structures, on experimental SMLM data under controlled motion conditions and on live-cell dynamic SMLM. DBlink's spatiotemporal interpolation constitutes an important advance in super-resolution imaging of dynamic processes in live cells.
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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.