ReviewNature protocols2026
SIMworks-an integrated software suite for quality-controlled augmented quantitative structured illumination microscopy.
Review in Nature protocols, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Super-resolution structured illumination microscopy (SIM) is a powerful and versatile technique for investigating fundamental cell biological processes underlying development and disease. With the growing availability of commercial SIM systems, the emergence of advanced SIM modalities and increased access through imaging facilities, adoption of SIM across research laboratories is accelerating. However, fully leveraging the capabilities of SIM remains challenging, even for experienced microscopists, due to its susceptibility to imaging artifacts and the limited availability of accessible analysis pipelines. Here, to address these challenges, we developed SIMworks, a broadly compatible, integrated software platform designed to streamline quality control, processing and quantitative analysis of large-scale SIM datasets. Building on our previously established tools-SIMcheck, Chromagnon, ChaiN and SIMinspector-SIMworks provides a unified framework compatible with both custom and commercial SIM systems and modalities. Its modular architecture includes tools for calibration, alignment and data processing, as well as robust artifact detection and correction. These are complemented by segmentation and quantification modules for a broad range of cellular and nuclear structures, enabling automated, intensity-based analysis. Each module includes detailed guidance on interpretation and troubleshooting to support usability and reproducibility, enabling both new learners and experienced users to apply best practices in SIM imaging. The complete workflow can be performed within approximately half a day, depending on dataset size and complexity. SIMworks represents the first comprehensive, modular solution for SIM data processing, augmentation and quantitative analysis, lowering technical barriers and enhancing data reliability. By facilitating rigorous workflows, SIMworks promotes the broader integration of quantitative SIM imaging into biomedical research.
Identifiers
42786243What 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.