ArticleNature methods2024
DL4MicEverywhere: deep learning for microscopy made flexible, shareable and reproducible.
Article in Nature methods, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 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
11 citing papers in PubMed.
- ReScale4DL: balancing pixel and contextual information for enhanced bioimage segmentation.Nature communications · 2026Article
- Fast label-free live imaging with FlowVision reveals key principles of cancer cell arrest on endothelial monolayers.The EMBO journal · 2026Article
- Artificial intelligence-powered microscopy: Transforming the landscape of parasitology.Journal of microscopy · 2026Review
- OoCount: a machine-learning-based approach to mouse ovarian follicle counting and classification†.Biology of reproduction · 2025Article
- BEHAV3D Tumor Profiler to map heterogeneous cancer cell behavior in the tumor microenvironment.eLife · 2025Article
- CLEM-Reg: an automated point cloud-based registration algorithm for volume correlative light and electron microscopy.Nature methods · 2025Article
- bia-binder: a web-native cloud compute service for the bioimage analysis community.Bioinformatics (Oxford, England) · 2025Article
- BiaPy: accessible deep learning on bioimages.Nature methods · 2025Article
- Practical considerations for data exploration in quantitative cell biology.Journal of cell science · 2025Article
- Microscopy methods for the in vivo study of nanoscale nuclear organization.Biochemical Society transactions · 2025Review
- cellPLATO - an unsupervised method for identifying cell behaviour in heterogeneous cell trajectory data.Journal of cell science · 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
11 authors.
Funding
Abstract
PubMed holds no abstract for this paper.
Indexed as
Identifiers
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.