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Updated: Feb 1, 2026
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A Robotic Platform for High-throughput Protoplast Isolation and Transformation
Published on: September 27, 2016
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A high-throughput and open-source platform for embryo phenomics
Oliver Tills1, John I Spicer1, Andrew Grimmer1
1Marine Biology and Ecology Research Centre, School of Biological and Marine Sciences, University of Plymouth, Plymouth, Devon, United Kingdom.
Plos Biology
|December 14, 2018
Summary
EmbryoPhenomics is a new high-throughput platform using Open-source Video Microscope (OpenVIM) and Embryo Computer Vision (EmbryoCV) to analyze aquatic embryo development. This technology captures detailed phenomic data for environmental stressor response studies.
Area of Science:
- Phenomics and developmental biology.
- Environmental science and ecotoxicology.
Background:
- Phenomics requires high-throughput technologies for analyzing complex, high-dimensional data.
- Investigating dynamic processes like embryonic development presents challenges in capturing temporal, spatial, and functional changes.
Purpose of the Study:
- To present EmbryoPhenomics, an accessible high-throughput platform for aquatic embryo phenomics.
- To enable detailed analysis of embryonic development and responses to environmental change.
Main Methods:
- Utilizing an Open-source Video Microscope (OpenVIM) for high-resolution video capture of multiple embryos.
- Employing the Python package Embryo Computer Vision (EmbryoCV) for phenomic data extraction (morphological, physiological, behavioral traits).
- Applying the platform to assess responses to temperature and salinity changes in aquatic embryos.
Main Results:
- Demonstrated broad applicability across >30 million images from >600 embryos of two species (Radix balthica and Orchestia gammarellus).
- Successfully captured functional, temporal, and spatial responses during embryonic development.
- Provided data on chronic, acute, and multi-stressor responses to environmental change.
Conclusions:
- EmbryoPhenomics offers a powerful tool for studying complex organismal responses to environmental change.
- The platform is valuable for research in developmental biology and phenomics, especially for dynamic early life stages.
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