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Source transformation is a fundamental technique employed in circuit analysis, offering a valuable tool for simplifying complex electrical circuits. This technique involves the replacement of either a voltage source in series with a resistor by a current source in parallel with a resistor, or vice versa. The key concept here is that when the original sources are deactivated (turned off), the equivalent resistance at the circuit's end terminals remains the same.
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A Robotic Platform for High-throughput Protoplast Isolation and Transformation
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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.

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|December 14, 2018
PubMed
Summary
This summary is machine-generated.

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.

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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.