ArticleScientific reports2026
High-throughput adult Caenorhabditis elegans viability monitoring system.
Article in Scientific reports, 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
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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
1 citing paper in PubMed.
- A Real-Time Automated Deep Learning Workflow for Non-invasive High-Magnification Imaging ofbioRxiv : the preprint server for biology · 2026Article
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Authors and funding
6 authors.
Funding
Abstract
Caenorhabditis elegans (C. elegans) is a key model organism in human disease research. However, conventional automated monitoring systems face notable limitations including poor image quality from insufficient illumination and target misidentification caused by complex backgrounds, which severely impede reliable high-throughput experiments. To address these issues, we developed an integrated hardware-software high-throughput C. elegans lifespan monitoring system. At the hardware level, collimated illumination technology ensures uniform lighting for high-quality imaging, while a stepper motor-driven linear rail combined with industrial cameras enables stable and automated patrol imaging of large-scale Petri dishes. On the software side, the system optimizes target detection through iterative image processing, adopts a two-stage detection algorithm that reduces the miss rate from 1.75% to 0.8%, and integrates a dedicated viability assessment algorithm for accurate distinction between live and dead worms. Validated with adult C. elegans using manual counting as the gold standard, the system achieves over 95% live-count accuracy. It processes a single batch of 36 Petri dishes in 36–60 min, boosting throughput to 4–5 times that of manual operation. Long-term 30-day monitoring validation confirms extremely high consistency with manual results, with a Pearson correlation coefficient of 0.999 for live counts. This system is providing a robust tool for aging mechanism research and anti-aging drug screening.
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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.