ArticleScientific reports2021
Small flexible automated system for monitoring Caenorhabditis elegans lifespan based on active vision and image processing techniques.
Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- WormSpot: a machine learning-powered viability scoring platform inMicrobiology spectrum · 2026Article
- High-throughput adult Caenorhabditis elegans viability monitoring system.Scientific reports · 2026Article
- Evaluating resolution requirements for subtle caenorhabditis elegans strain discrimination using classical descriptors and CNN-transformer models.Scientific reports · 2026Article
- HarnessingSensors (Basel, Switzerland) · 2025Review
- Automated Platforms inMicromachines · 2025Review
- Network Flow Method Integrates Skeleton Information for MultipleSensors (Basel, Switzerland) · 2025Article
- A robotic system for automated genetic manipulation and analysis ofPNAS nexus · 2023Article
- Automatic segmentation ofHeliyon · 2023Article
- Automation ofComputational and structural biotechnology journal · 2023Article
- Analysis of aComputational and structural biotechnology journal · 2023Article
- The Replica Set Method is a Robust, Accurate, and High-Throughput Approach for Assessing and Comparing Lifespan inFrontiers in aging · 2022Article
- Article
- Towards Lifespan Automation forSensors (Basel, Switzerland) · 2021Article
- ApplyingFrontiers in aging · 2021Article
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Traditionally Caenorhabditis elegans lifespan assays are performed by manually inspecting nematodes with a dissection microscope, which involves daily counting of live/dead worms cultured in Petri plates for 21-25 days. This manual inspection requires the screening of hundreds of worms to ensure statistical robustness, and is therefore a time-consuming approach. In recent years, various automated artificial vision systems have been reported to increase the throughput, however they usually provide less accurate results than manual assays. The main problems identified when using these vision systems are the false positives and false negatives, which occur due to culture media changes, occluded zones, dirtiness or condensation of the Petri plates. In this work, we developed and described a new C. elegans monitoring machine, SiViS, which consists of a flexible and compact platform design to analyse C. elegans cultures using the standard Petri plates seeded with E. coli. Our system uses an active vision illumination technique and different image-processing pipelines for motion detection, both previously reported, providing a fully automated image processing pipeline. In addition, this study validated both these methods and the feasibility of the SiViS machine for lifespan experiments by comparing them with manual lifespan assays. Results demonstrated that the automated system yields consistent replicates (p-value log rank test 0.699), and there are no significant differences between automated system assays and traditionally manual assays (p-value 0.637). Finally, although we have focused on the use of SiViS in longevity assays, the system configuration is flexible and can, thus, be adapted to other C. elegans studies such as toxicity, mobility and behaviour.
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