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Automated Microbial Diagnostics

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Coupling Carbon Capture from a Power Plant with Semi-automated Open Raceway Ponds for Microalgae Cultivation

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Published on: August 14, 2020

Automated phenotyping of microalgae: scalable solution for high-throughput analysis.

Andrei Herdean¹, Lilian Hoch¹, Anusuya Willis²

¹Climate Change Cluster, University of Technology Sydney, Sydney, NSW, Australia.

Bioresource Technology

|June 5, 2025

Summary

PhenoSelect, an automated system, enables high-throughput microalgal phenotyping across diverse conditions. This advanced platform accelerates strain screening for biofuels and other biotechnologies.

Keywords:

Automation Biotechnology Phenome size Phenotypic plasticity Robotics in research

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Last Updated: Jul 1, 2026

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Area of Science:

Biotechnology
Microalgal research
Automated systems

Background:

Current microalgal phenotyping platforms lack integration and scalability for comprehensive trait analysis.
Laboratory automation is crucial for advancing biotechnology.
High-throughput analysis is needed for microalgal trait discovery.

Purpose of the Study:

To develop an automated system, PhenoSelect, for high-throughput, multi-trait microalgal phenotyping.
To quantify phenotypic plasticity and optimize growth conditions for microalgal species.
To support applications in biofuels, bioremediation, and nutraceuticals.

Main Methods:

PhenoSelect integrates robotics, spectroscopy, fluorometry, flow cytometry, and data analytics.
Five algal species were profiled across 96 environmental and chemical conditions.
Photosynthetic efficiency, growth rate, and cell size were quantified; phenotypic plasticity was measured using convex hull volume.

Main Results:

PhenoSelect enabled precise, reproducible phenotyping with minimal manual input.
Haematococcus pluvialis exhibited the largest phenome size, indicating broad plasticity.
Optimal growth and photosynthetic performance varied by species, driven by low light and nutrient-rich media.

Conclusions:

PhenoSelect bridges phenotyping gaps in microalgal biotechnology.
The system accelerates strain screening and optimization for scalable applications.
Automated phenotyping is key to advancing microalgal-based industries.