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New study illuminates how diatoms thrive in — and light up — the Southern Ocean

Researchers have identified diatoms as the dominant microorganisms in a previously mysterious area of the Southern Ocean. The study's findings suggest that diatoms are responsible for the high levels of reflectance observed in satellite images, providing new insights into carbon cycling and ocean biology.

SourceBigelow Laboratory for Ocean Sciences·JournalGlobal Biogeochemical Cycles·TypeObservational study·DateAug 4, 2025

New 3D technology paves way for next-generation eye-tracking

Researchers at the University of Arizona have developed a new 3D imaging technique, deflectometry, paired with advanced computation to improve eye-tracking accuracy. The method can capture gaze direction information from more than 40,000 surface points, theoretically millions, increasing accuracy by a factor of over 3,000 compared to c...

SourceUniversity of Arizona·JournalNature Communications·TypeExperimental study·DateApr 1, 2025

Thermal infrared reflectance characteristics of natural leaves in 8–14 μm region: mechanistic modeling and relationships with leaf water content

A research team developed a radiative transfer model for plant leaves in the thermal infrared spectrum and found that as the cuticle layer decreases, leaf reflectance increases with decreasing water content. This study provides essential theoretical foundations for understanding TIR spectral behavior of leaves.

SourceUniversity of Science and Technology of China·JournalRemote Sensing of Environment·DateJun 14, 2023

Revelations from Ryugu: Muon non-destructive analysis unveils true nature of ancient asteroid

Researchers from Osaka University have successfully detected carbon, nitrogen, and oxygen in samples from near-Earth asteroid Ryugu using muon non-destructive analysis. The findings suggest that CI chondrites may be contaminated with terrestrial materials, challenging previous understanding of the solar system's chemical compositions.

SourceOsaka University·JournalScience·TypeObservational study·DateNov 13, 2022

Specialty and standard coffee beans can be sorted using multispectral imaging and artificial intelligence

A Brazilian research team has developed a novel method to sort specialty and standard coffee beans using multispectral imaging and machine learning. The technique, which does not require roasting or human intervention, uses images of the beans at different wavelengths to distinguish between quality levels.

SourceFundação de Amparo à Pesquisa do Estado de São Paulo·JournalComputers and Electronics in Agriculture·DateAug 30, 2022

Researchers develop optical biopsy system that detects liver cancer

The new technology can reliably distinguish between cancerous and healthy liver tissue, aiding diagnosis and potentially reducing errors in biopsies. The researchers plan to continue measuring fluorescence lifetime parameters in patients with different types of tumors to generate real-time diagnostic classifiers.

SourceOptica·JournalBiomedical Optics Express·DateJan 6, 2022

New NUI Galway study helps improve accuracy of future climate change predictions

A new study published in Nature's journal Climate and Atmospheric Science reveals that adding sea-salt can dampen the effect of clouds becoming brighter, which could impact climate change predictions. The research found that pollution-induced changes to cloud reflectance are a major uncertainty in predicting future climate change.

SourceUniversity of Galway·Journalnpj Climate and Atmospheric Science·DateApr 8, 2020

Essential tool for precision farming: new method for photochemical reflectance index measurement

Scientists at Lobachevsky University have developed a new method for measuring the photochemical reflectance index using yellow-green light pulses, reducing sensitivity to lighting conditions and improving accuracy. The method has been tested on agricultural plants and found to be more reliable than traditional indicators of photosynth...

SourceLobachevsky University·JournalRemote Sensing·DateMay 7, 2019

New algorithm fuses quality and quantity in satellite imagery

Researchers at the University of Illinois have developed an algorithm that combines high-resolution and high-frequency satellite data to produce continuous, daily images. This allows for near-real-time monitoring of various applications, including agriculture, urban development, environmental quality, and economic development.

SourceUniversity of Illinois at Urbana-Champaign, News Bureau·JournalRemote Sensing of Environment·DateJun 4, 2018

Vanishing da Vinci

A team of researchers developed a new approach to identify and quantify chromophores in ancient paper, which contributes to the understanding of visual degradation processes. The study applied this technique to Leonardo da Vinci's self-portrait, revealing its degradation state and providing insights into environmental conditions.

SourceAmerican Institute of Physics·JournalApplied Physics Letters·DateJun 3, 2014

The minerals on Mars influence the measuring of its temperature

Researchers confirm that Mars' surface minerals influence its soil temperature measurements using infrared spectroscopy, with significant increases and falls in reflectance values. This study has implications for NASA's Mars Science Laboratory mission, allowing for more accurate interpretation of data from the soil temperature sensor.

SourceSpanish Foundation for Science and Technology·JournalJournal of Environmental Monitoring·DateJul 14, 2009

How black is 'super black'?

Researchers have developed the most effective commercially available black coating, NPL Super Black, with a low reflectance of 0.35% in the visible region. This breakthrough has significant implications for fields like radiometry, spectroscopy, and optical metrology, where stray light reduction is crucial.

SourceNational Physical Laboratory·JournalJournal of Materials Chemistry·DateMay 28, 2003