ArticlePloS one2019
Active backlight for automating visual monitoring: An analysis of a lighting control technique for Caenorhabditis elegans cultured on standard Petri plates.
Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed, 15 citations in OpenAlex.
- 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
- Automation ofComputational and structural biotechnology journal · 2023Article
- Multiview motion tracking based on a cartesian robot to monitor Caenorhabditis elegans in standard Petri dishes.Scientific reports · 2022Article
- Article
- Towards Lifespan Automation forSensors (Basel, Switzerland) · 2021Article
- Small flexible automated system for monitoring Caenorhabditis elegans lifespan based on active vision and image processing techniques.Scientific reports · 2021Article
- Improving skeleton algorithm for helping Caenorhabditis elegans trackers.Scientific reports · 2020Article
- Reducing Results Variance in Lifespan Machines: An Analysis of the Influence of Vibrotaxis on Wild-TypeSensors (Basel, Switzerland) · 2020Article
- Improving lifespan automation for Caenorhabditis elegans by using image processing and a post-processing adaptive data filter.Scientific reports · 2020Article
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Lifespan and healthspan machines can undergo C. elegans image segmentation errors due to changes in lighting conditions, which produce non-uniform images. Most C. elegans monitoring machines use backlight techniques based on the transparency of both the container and media. Backlight illumination obtains high-contrast images with dark C. elegans and a bright background. However, changes in illumination or media transparency conditions can produce non-uniform images, which are currently alleviated by image processing techniques. Besides, these machines should avoid C. elegans exposure to light as much as possible because light stresses worms, and can even affect their lifespan, mainly when using (1) long exposure times, (2) high intensities or (3) wavelengths that come close to ultraviolet. However, if short exposure of worms to light is required for visual monitoring, then light can also be used as a movement stimulus. In this paper, an active backlight method is analysed. The proposed method consists of controlling the light intensities and wavelengths of an illumination dots matrix with PID regulators. These regulators adapt illumination to some changing conditions. The experimental results shows that this method simplifies the image segmentation problem because it is able to automatically compensate not only changes in media transparency throughout assay days, but also changes in ambient conditions, such as smooth condensation on the lid and light derivatives of the illumination source during its lifetime. In addition, the strategic application of wavelengths could be adapted for the requirements of each assay. For instance, a specific control strategy has been proposed to minimise stress to worms and trying to stimulate C. elegans movement in lifespan assays.
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