ReviewNpj imaging2026
Smart microscopy: adaptive microscope control to improve the way we see life.
Review in Npj imaging, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 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
3 citing papers in PubMed.
- A custom two-in-one HIST and line-scanning confocal excitation module.bioRxiv : the preprint server for biology · 2026Article
- Endothelial Continuum and Capillary Specialization in Pulmonary Vascular Development.Arteriosclerosis, thrombosis, and vascular biology · 2026Review
- Artificial Intelligence for Discovery in Life Sciences.Bioconjugate chemistry · 2026Review
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
Smart microscopy lies at the intersection of biology, optics, engineering, and computer science. Unlike traditional microscopes, smart systems actively adapt their acquisition settings in real time based on information extracted from the sample, allowing experiments to navigate competing demands such as resolution, speed and sample health. In this review, we present a practical framework for what makes a microscope "smart," defining smart microscopy as the combination of real-time analysis, feedback control, and automated actuation. To guide implementation, we classify smart microscopy approaches by experimental goal (quality-, event-, target-, information- or outcome-driven) and discuss the corresponding strategies for analysis and control. Finally, we highlight key challenges and the growing role of community-driven efforts in making smart microscopy more accessible and widely adopted across the life sciences.
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.