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Videometer Quarterly
We measure what you see - and beyond
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06
2026
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Introduction
This month, we are highlighting new ways spectral imaging and AI are supporting quality assessment across different industries: from seafood integrity and liquid analysis to seed testing, sorting, and software highlights.
Explore our latest application stories, product updates, and upcoming events below.
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Top Story
Automating seed and grain sorting
The VideometerLab SeedSorter combines spectral imaging and AI to support automated seed and grain analysis and sorting.
By capturing spectral and visual information from individual seeds or grains, the system can help identify differences in quality, purity, and characteristics that may be difficult to assess manually. This supports faster, more consistent, and more objective decision-making in seed and grain quality control.
For laboratories and production environments working with larger sample volumes, automated sorting can help reduce manual workload while improving repeatability and data-driven documentation.
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Industry News Roundup
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Seafood
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Supporting seafood integrity with spectral imaging and AI
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Seafood quality, authenticity, and traceability are increasingly important across the global supply chain. Spectral imaging offers a rapid and non-destructive way to analyse seafood products, helping detect differences that may not be visible to the human eye. When combined with AI and machine learning, it can support applications such as species identification, freshness assessment, adulteration detection, and scalable quality control. Technologies such as VideometerLab and VideometerLite+ can help strengthen product verification from processing to inspection.
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Read more
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Seeds and Grains
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Exploring multispectral imaging for seed quality assessment
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Multispectral imaging is becoming an increasingly valuable tool for objective, efficient, and data-driven seed quality assessment. From 27–29 May 2026, ISTA, Leiden University, and Aarhus University hosted a workshop in Rødvig, Denmark focused on multispectral imaging for seed determination and purity determination. Participants worked with the VideometerLab technology in hands-on sessions designed to explore how imaging can help distinguish between challenging seed samples, including crop seeds and weed seeds.
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Read more
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Liquids
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Extending analysis to liquids with VideometerLite+ and Liq
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The VideometerLite+ can now be combined with the Liq cradle add-on to support the analysis of both solid and liquid samples in one flexible system. Designed for stable positioning and reproducible measurements, the Liq add-on expands the possibilities of spectral imaging into liquid applications such as milk and dairy products, coffee and beverages, chocolate and syrups, and liquid ingredients. By enabling solid and liquid analysis on the same platform, it helps laboratories simplify workflows, reduce the need for multiple instruments, and maintain consistency across sample types.
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Read more
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Software Spotlight
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Feature Highlight
Pixel Clustering
Pixel clustering is a useful feature in Videometer software that helps users explore spectral image data in more detail. By grouping pixels with similar spectral characteristics, pixel clustering makes it easier to visualise patterns, differences, and variations within a sample. This can support a deeper understanding of sample composition and help users identify areas of interest that may not be visible through standard imaging alone.
Get your VideometerLab Software License and try it out!
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Meet Videometer
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Meet Videometer to discuss multispectral imaging and seed quality assessment.
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Explore how Videometer's solutions can support seed and grain analysis.
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