ArticleCommunications biology2020
An automated platform to monitor long-term behavior and healthspan in Caenorhabditis elegans under precise environmental control.
Article in Communications biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 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
33 citing papers in PubMed, 64 citations in OpenAlex.
- Mechanisms of surface and volume light scattering fromiScience · 2026Article
- A Real-Time Automated Deep Learning Workflow for Non-invasive High-Magnification Imaging ofbioRxiv : the preprint server for biology · 2026Article
- 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
- Deep Convolutional Neural Networks for Autofocus Control on aBiosensors · 2026Article
- Automated Platforms inMicromachines · 2025Review
- EZ-FRCNN: A Fast, Accessible and Robust Deep Learning Package for Object Detection Applications from Ethology to Cell Biology.bioRxiv : the preprint server for biology · 2025Article
- Brief guide to Caenorhabditis elegans survival assays.Molecules and cells · 2025Review
- Life history in Caenorhabditis elegans: from molecular genetics to evolutionary ecology.Genetics · 2024Review
- A Markovian dynamics forProceedings of the National Academy of Sciences of the United States of America · 2024Article
- C. elegans foraging as a model for understanding the neuronal basis of decision-making.Cellular and molecular life sciences : CMLS · 2024Review
- Microfluidic approach to correlateLab on a chip · 2024Article
- Dynamic temperature control in microfluidics for in vivo imaging of cold-sensing in C. elegans.Biophysical journal · 2024Article
- Rapid measurement of ageing by automated monitoring of movement of C. elegans populations.GeroScience · 2024Article
- A robotic system for automated genetic manipulation and analysis ofPNAS nexus · 2023Article
- Article
- A dynamical model ofProceedings of the National Academy of Sciences of the United States of America · 2023Article
- A Compact Imaging Platform for ConductingLife (Basel, Switzerland) · 2023Article
- Towards generalization forComputational and structural biotechnology journal · 2023Article
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 at 1 institution in 1 country.
Funding
Abstract
Health and longevity in all organisms are strongly influenced by the environment. To fully understand how environmental factors interact with genetic and stochastic factors to modulate the aging process, it is crucial to precisely control environmental conditions for long-term studies. In the commonly used model organism Caenorhabditis elegans, existing assays for healthspan and lifespan have inherent limitations, making it difficult to perform large-scale longitudinal aging studies under precise environmental control. To address these constraints, we developed the Health and Lifespan Testing Hub (HeALTH), an automated, microfluidic-based system for robust longitudinal behavioral monitoring. Our system provides long-term (i.e. entire lifespan) spatiotemporal environmental control. We demonstrate healthspan and lifespan studies under a variety of genetic and environmental perturbations while observing how individuality plays a role in the aging process. This system is generalizable beyond aging research, particularly for short- or long-term behavioral assays, and could be adapted for other model systems.
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.