Scalable, automated, multi-end point health metrics
Our patented biophotonics platform analyses and captures multiple end-point data from living worms, providing rich integrated measures on the effect of your compound or product. In contrast to manual assays, that are well-established in academic research to measure health, ageing, toxicity (death) and disease in C. elegans, our WormGazerTM Technology confers several advantages:
WormGazerTM Technology advantages
- A robust workflow for high data reproducibility and rapid turnaround
- Non-invasive and continuous data acquisition
- Versatile data processing to reveal subtle and diverse health intervention effects
- Time-efficient and not subject to operator variation
- Multiple rich data points throughout all life stages
- Fully customisable healthspan approach (not just lifespan - live/dead)
- Solid agar media promotes free-moving native behaviour for reliable and representative data (unlike microchips)
See our recent paper showing how WormGazer™ matches the data from a 40-day manual lifespan data in just 7 day
Robust and fast assay workflow with high data reproducibility and sensitivity
Over 80+ years of world-leading expertise in C. elegans research, combined with our WormGazerTM Technology ensures all aspects of our assays are conducted with the utmost consistency. Our automated approach is optimal for standardised data acquisition with a non-invasive approach. For example, there are no abrupt changes in lighting or temperature, or mechanical disruption to our worm cultures.
Unlike competitors, our technology enables us to maintain worms in a more natural, free-moving environment (as opposed to microchips), to encourage native behaviour and reliable data outcomes. In addition, WormGazerTM Technology allows continuous data acquisition with multiple culture plates per test conditions. Tracking images are taken every 0.8 sec for 160 secs, every 5 mins 24 hrs a day with an extensive duration (up to 14 days). As a result, we can generate a petabyte of relevant data per week. This allows us to reliably detect small changes between test conditions to provide information about whether your product has a tight efficacy window and understand the complexity of dose responses. This rich data is customisable for a multi-faceted healthspan approach, enabling you to select diverse and highly relevant end-points for your research — not just single data-point outcomes.
In addition to Healthspan assays WormGazerTM technology has diverse outputs available:
- Neuronal functional assays
- Phenotypic disease studies
- Toxicity studies
- Behavioural studies
- Assessing mobility and muscle health
- Chemotaxis
- Exploratory assays
- Lifespan assays
Traditional lifespan manual C. elegans approach
Magnitude Biosciences’ automated Healthspan approach and technology
Visual scoring of live/dead worms is time-consuming
Automated approach is much faster with more consistent results, minimising the time taken to do an experiment and how many experiments are needed
The invasiveness of a manual approach means the results are more variable and less objective
Our automated approach is non-invasive, yielding more objective results
Lifespan manual approach only produces one endpoint
Healthspan approach produces multiple endpoints, and the standardisation means this data is also more reliable
Manual approach is less efficient
Automation enables a much higher throughput of experiments
Lifespan Vs Healthspan
Life Span
Traditional lifespan manual C. elegans approach
Healthspan
Magnitude Biosciences’ automated Healthspan approach and technology
Life Span
Visual scoring of live/dead worms is time-consuming
Healthspan
Automated approach is much faster with more consistent results, minimising the time taken to do an experiment and how many experiments are needed
Life Span
The invasiveness of a manual approach means the results are more variable and less objective
Healthspan
Our automated approach is non-invasive, yielding more objective results
Life Span
Lifespan manual approach only produces one endpoint
Healthspan
Healthspan approach produces multiple endpoints, and the standardisation means this data is also more reliable
Life Span
Manual approach is less efficient
Healthspan
Automation enables a much higher throughput of experiments
