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StellarNet, Inc. News and Press Releases

News and Updates for 2026

StellarNet Partnership Spotlight – Evident

StellarNet and Evident Collaborate to Deliver Integrated Microscopy and Spectroscopy Solutions   Delivering Modular Spectroscopy and Microscopy Systems Researchers and manufacturers increasingly require more than high-resolution images to fully understand the...

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Application Note: Cyclospora Food Saftey

Application Note: Cyclospora Food Saftey

The 2026 Cyclospora outbreak linked to iceberg lettuce highlights a persistent challenge in food production: contamination can move through the supply chain before conventional testing identifies a problem. Emerging research suggests that NIR, Raman/SERS, chemometrics...

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Spectroscopy Lab Experiments

Spectroscopy Lab Experiments

Turn light into a hands-on learning experience with StellarLab. Designed for educational laboratories, these ready-to-use experiments help students explore spectroscopy and radiometry through practical measurement, analysis, and real-world applications.How much food...

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Featured in Pet Food Media on NIR Ingredient Verification

Featured in Pet Food Media on NIR Ingredient Verification

StellarNet President Jason Pierce was recently featured in Pet Food Media with the article “Looking Beyond Pass/Fail: New Approaches to Ingredient Verification in Pet Food Manufacturing.” As pet food manufacturers expand ingredient portfolios and work with...

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August Celestial Events

August Celestial Events

August is an exciting month for skywatchers, with several spectacular celestial events lighting up the sky. On August 12th, a total solar eclipse will cross parts of Greenland, Iceland, and Spain, while the Perseid meteor shower reaches its peak that same night under...

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National Ice Cream Month

National Ice Cream Month

Near-Infrared (NIR) spectroscopy (NIR Spectrometers) is a valuable tool for quality control in the production of soft serve ice cream powders. It offers several advantages for measuring various quality attributes quickly, non-destructively, and with minimal sample...

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