Nelle Meyers, a post-doctoral researcher at the Flanders Marine Institute (VLIZ), has detailed a semi-automated method for detecting marine microplastics [1].
Identifying these pollutants is critical because their small size and irregular shapes make them difficult to spot in the ocean. Improving detection capabilities allows scientists to better understand the scale and impact of plastic pollution in marine environments [1], [2].
Research conducted at the Belgium-based VLIZ focuses on the challenges of identifying these particles. Because microplastics do not follow a uniform shape or size, traditional manual identification is often inefficient and prone to error [1]. The semi-automated technology aims to overcome these hurdles by streamlining the detection process.
This effort to quantify plastic pollution comes long after the scientific community first identified the problem. The term “microplastics” was coined in 2004 [2].
As of June 2026, 22 years have passed since the term was first established [2]. Despite this timeline, the difficulty of sampling and identifying these materials remains a primary obstacle for researchers attempting to map the distribution of plastic in the sea [1].
Meyers said these findings during an episode of Euronews Tech Talks published on June 25, 2026 [1]. The presentation highlighted how specialized technology can bridge the gap between raw sampling and accurate data analysis in marine science [1].
“Microplastics are difficult to identify because of their small size and irregular shape.”
The shift toward semi-automated detection reflects a broader necessity in environmental science to move beyond manual observation. By reducing the time and error associated with identifying irregular particles, researchers can generate more accurate datasets, which are essential for creating effective international policies to combat ocean plastic pollution.
