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Related Concept Videos

Computed Tomography01:10

Computed Tomography

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Tomography refers to imaging by sections. Computed tomography (CT) is a non-invasive imaging technique that uses computers to analyze several cross-sectional X-rays to reveal minute details about structures in the body.
The technique was invented in the 1970s and is based on the principle that as X-rays pass through the body, they are absorbed or reflected at different levels. In the technique, a patient lies on a motorized platform while a computerized axial tomography (CAT) scanner rotates...
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Protocol for Microplastics Sampling on the Sea Surface and Sample Analysis
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Detection of microplastics in fish using computed tomography and deep learning.

Pierluigi Strafella1,2, Nicola Giulietti3, Alessia Caputo2

  • 1CNR IRBIM, Ancona, Italy.

Heliyon
|November 18, 2024
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Summary

This study introduces a novel, non-destructive method using Computed Tomography (CT scan) and Artificial Intelligence to detect microplastics in marine life. This AI-driven approach offers accurate localization and efficient identification, overcoming limitations of traditional techniques.

Keywords:
AICT scanFood contaminationMachine learningMeasurementMicroplastics

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Area of Science:

  • Environmental Science
  • Marine Biology
  • Analytical Chemistry

Background:

  • Marine organisms ingest microplastics, primarily fibers and fragments.
  • Existing detection methods are slow, costly, prone to contamination, and lack localization precision.

Purpose of the Study:

  • To develop an automated, non-destructive method for microplastic detection in marine species.
  • To leverage Computed Tomography (CT scan) and Artificial Intelligence (AI) for enhanced analysis.

Main Methods:

  • Utilized CT scanning combined with AI for microplastic detection based on density and shape.
  • Employed a semantic segmentation model for precise identification and localization of plastic particles.

Main Results:

  • The AI-driven method achieved 100% recognition of plastic particles, detailing their location and volume.
  • Demonstrated significant improvements in precision and efficiency compared to traditional spectral analysis.

Conclusions:

  • AI applied to CT scanning offers a cost-effective, rapid, and accurate solution for microplastic research.
  • This non-destructive technique overcomes key limitations of conventional microplastic analysis methodologies.