ReviewSmall science2026
Advancement of Peptide-PAINT: Applications and Current Challenges in Super-Resolution Imaging.
Review in Small science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- Advancement of Peptide-PAINT: Applications and Current Challenges in Super-Resolution Imaging.Small science · 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
Super-resolution fluorescence microscopy has revolutionized the ability to probe biomolecular organization at the nanoscale in both fixed and living cells. Among various single-molecule localization microscopy approaches, Point Accumulation for Imaging in Nanoscale Topography (PAINT) offers a conceptually distinct framework by leveraging transient probe-target interactions rather than fluorophore photo-physics. Building on implementations such as DNA-PAINT, Peptide-PAINT has emerged as a versatile and accessible strategy for imaging protein organization with high specificity. This review provides a comprehensive overview of Peptide-PAINT, covering its fundamental principles and recent methodological advances, including exchangeable, fluorogenic, and endogenous labeling strategies. We highlight its capability for multiplexed imaging and discuss emerging applications in live-cell systems. Furthermore, we critically evaluate current limitations, including probe kinetics, orthogonality of peptide pairs, specificity, and intracellular delivery. Finally, we outline future directions for engineering robust, easy-to-implement Peptide-PAINT platforms for quantitative and high-throughput super-resolution imaging.
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.