ReviewNature reviews. Molecular cell biology2024
Live-cell imaging powered by computation.
Review in Nature reviews. Molecular cell biology, 2024. 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 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
30 citing papers in PubMed.
- 'In silico labelling': Exploring the biological landscape at the nanoscale using intelligent multimodal optical microscopy.Journal of microscopy · 2026Review
- Characterizing cellular receptor dynamics in live fluorescence imaging using stochastic modeling and machine learning.iScience · 2026Article
- Organelle-specific fluorescent probes for live imaging at the nanoscale.Science China. Life sciences · 2026Review
- Artificial Intelligence for Discovery in Life Sciences.Bioconjugate chemistry · 2026Review
- Celldetective, an AI-enhanced image analysis tool for unraveling dynamic cell interactions.eLife · 2026Article
- Virtual Overlay Staining With Plasmonic Oligomer Metasurface.Small (Weinheim an der Bergstrasse, Germany) · 2026Article
- Label-Free All-Electrical Tracking of Individual and Collective Cell Migration on a Megapixel CMOS Capacitance Sensor.bioRxiv : the preprint server for biology · 2026Article
- Article
- Contrastive learning of dynamic processing body formation reveals undefined mechanisms of approved compounds.iScience · 2026Article
- Review
- Beyond the membrane: rethinking EGFR signaling in physiology and cancer.Cellular and molecular life sciences : CMLS · 2026Review
- Imaging malaria parasites across scales and time.Journal of microscopy · 2026Review
- Volumetric localization microscopy with deep learning.Nature communications · 2025Article
- Beyond metaphor: quantitative reconstruction of Waddington landscape and exploration of cellular behavior.Briefings in bioinformatics · 2025Review
- Automated smartphone based cell analysis platform.Npj imaging · 2025Article
- Real-time, high-throughput super-resolution microscopy via panoramic integration.Nature communications · 2025Article
- Adaptive fluorescence lifetime imaging with per-pixel signal optimization and flexible scanning.Biomedical optics express · 2025Article
- Highly adaptable deep-learning platform for automated detection and analysis of vesicle exocytosis.Nature communications · 2025Article
- Temporal and spatial omics technologies for 4D profiling.Nature methods · 2025Review
- Imaging 3D cell cultures with optical microscopy.Nature methods · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The proliferation of microscopy methods for live-cell imaging offers many new possibilities for users but can also be challenging to navigate. The prevailing challenge in live-cell fluorescence microscopy is capturing intra-cellular dynamics while preserving cell viability. Computational methods can help to address this challenge and are now shifting the boundaries of what is possible to capture in living systems. In this Review, we discuss these computational methods focusing on artificial intelligence-based approaches that can be layered on top of commonly used existing microscopies as well as hybrid methods that integrate computation and microscope hardware. We specifically discuss how computational approaches can improve the signal-to-noise ratio, spatial resolution, temporal resolution and multi-colour capacity of live-cell imaging.
Indexed as
Identifiers
38378991What 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.