ArticleNature biotechnology2023
An integrated platform for high-throughput nanoscopy.
Article in Nature biotechnology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.
What it found
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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
30 citing papers in PubMed.
- Efficient double helix detection with steerable filters.Biomedical optics express · 2026Article
- Mitotic Cdc42 waves encode PI(3,4)PScience advances · 2026Article
- Infrared Near-Field Microscopy as a Platform for Nanoscale Biomedical Spectroscopy and Imaging.ACS applied materials & interfaces · 2026Review
- Smart event-triggered MINFLUX microscopy to catch and follow rare events.Nature communications · 2026Article
- Aberration-aware 3D localization microscopy via self-supervised neural-physics learning.Nature communications · 2026Article
- A flexible framework for automated STED super-resolution microscopy.Scientific reports · 2026Article
- Volumetric localization microscopy with deep learning.Nature communications · 2025Article
- Real-time, high-throughput super-resolution microscopy via panoramic integration.Nature communications · 2025Article
- A correlative quantitative phase contrast and fluorescence super-resolution microscope for imaging molecules in their cellular context.bioRxiv : the preprint server for biology · 2025Article
- Scalable and lightweight deep learning for efficient high accuracy single-molecule localization microscopy.Nature communications · 2025Article
- From Biophysics to Biomedical Physics.ACS bio & med chem Au · 2025Review
- A parallelly distributed microscope and software system for scalable high-throughput multispectral 3D imaging.bioRxiv : the preprint server for biology · 2025Article
- Identification of coilin interactors reveals coordinated control of Cajal body number and structure.The Journal of cell biology · 2025Article
- A high-throughput platform for single-molecule tracking identifies drug interaction and cellular mechanisms.eLife · 2025Article
- Microfluidics-based automatic immunofluorescence staining for single-molecule localization microscopy.Biomedical optics express · 2024Article
- Navigate: an open-source platform for smart light-sheet microscopy.Nature methods · 2024Article
- Exploring Transient States of PAmKate to Enable Improved Cryogenic Single-Molecule Imaging.Journal of the American Chemical Society · 2024Article
- Exploring transient states of PAmKate to enable improved cryogenic single-molecule imaging.bioRxiv : the preprint server for biology · 2024Article
- Highly sensitive volumetric single-molecule imaging.Nanophotonics (Berlin, Germany) · 2024Article
- Nanoscale cellular organization of viral RNA and proteins in SARS-CoV-2 replication organelles.Nature communications · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
16 authors.
Funding
Abstract
Single-molecule localization microscopy enables three-dimensional fluorescence imaging at tens-of-nanometer resolution, but requires many camera frames to reconstruct a super-resolved image. This limits the typical throughput to tens of cells per day. While frame rates can now be increased by over an order of magnitude, the large data volumes become limiting in existing workflows. Here we present an integrated acquisition and analysis platform leveraging microscopy-specific data compression, distributed storage and distributed analysis to enable an acquisition and analysis throughput of 10,000 cells per day. The platform facilitates graphically reconfigurable analyses to be automatically initiated from the microscope during acquisition and remotely executed, and can even feed back and queue new acquisition tasks on the microscope. We demonstrate the utility of this framework by imaging hundreds of cells per well in multi-well sample formats. Our platform, implemented within the PYthon-Microscopy Environment (PYME), is easily configurable to control custom microscopes, and includes a plugin framework for user-defined extensions.
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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.