Articles tagged with Color Analysis
Researchers at Purdue University have developed an algorithm that recovers detailed spectral information from photographs taken by conventional cameras. The method uses computer vision, color science, and optical spectroscopy to achieve high spectral resolution comparable to scientific spectrometers.
Researchers developed a new method that uses simple grayscale eye photos to predict anemia in children. The technique analyzes patterns and textures in the conjunctiva of the eye, avoiding problems caused by different light conditions or camera models.
Scientists create diacetylene derivative-based luster materials with tunable colors and metallic lusters, opening new possibilities for applications in jewelry, printing inks, and cosmetics. The developed material can express a golden luster selectively using light irradiation, minimizing environmental footprint and weight.
A computer algorithm has achieved a 98% accuracy in predicting different diseases by analyzing the color of the human tongue. The proposed imaging system can diagnose various health conditions, including diabetes, stroke, and COVID-19, using a simple and affordable method.
Researchers developed a simple method to measure nano/microplastic concentrations in soil using spectroscopy, eliminating the need for separation processes. The method uses a wavelength combination of 220–260 nm and 280–340 nm to accurately quantify N/MPs in different soil types.
A Bronze Age purple dye workshop has been found on the Greek island of Aegina, featuring tools, ceramics, and snail shells that reveal the production process. The site provides insights into Mycenaean culture and trade during the Late Bronze Age.
Researchers found that Werner syndrome mice experience age-dependent and sex-specific changes in their livers and immune systems, including fatty liver accumulation and altered lipid metabolism. These findings suggest a potential link between immunoglobulin variants and fatty liver progression in the disorder.
A new study reveals that RNA binding motif protein X-linked (RBMX) plays a crucial role in predicting cancer prognosis and response to immunotherapy. Abnormal expression of RBMX is associated with immune regulation, tumor microenvironment, and therapeutic effects of immune checkpoint inhibitors.
Scientists developed a high-throughput method to study oxidized lipids in ALS. Analysis of blood plasma from rats with ALS revealed 17 oxylipin alterations associated with oxidative stress and inflammation. Oxylipins may serve as biomarkers for monitoring disease progression.
Researchers developed an AI tool for automatic colorectal cancer tissue analysis, refining neural networks to offer faster and more precise classification. The tool's public accessibility aims to spur further advancements and breakthroughs in colorectal cancer research.
A team of researchers developed a novel method that leverages temporal characteristics of blood pulse to estimate heart rates with improved accuracy, especially in scenes with ambient light fluctuations. The proposed method showed a 36.5% improvement in estimation accuracy compared to conventional methods.
Researchers developed new methods for detecting drug-induced hepatotoxicity using 3D cell cultures and mass spectrometry imaging, identifying biomarkers and effective interventions. A zeolite-based protein corona method was also used to characterize plasma proteins, enabling the identification of low-abundance proteins and their potent...
The study identifies 1,074 semi-extractable RNAs potentially involved in phase-separated membraneless organelles. These RNAs are enriched in repressed heterochromatin regions and act as hubs for RNA-RNA interactions.
This study introduces a novel approach to image aesthetic assessment using deep learning, focusing on color composition and space formation. It proposes extracting color palette features and image contour maps to evaluate image aesthetics.
Researchers at Nara Institute of Science and Technology developed a new calibration method to compensate for variations in illumination while scanning stained-glass windows. This approach can help capture the colors of cultural artifacts in a lifelike way, even with long scanning times.
A novel diagnostic platform has been developed for rapid, low-cost and decentralized patient testing for infectious diseases like Zika. The platform achieved a diagnostic accuracy of 98.5% with 268 patient samples collected in Recife, Brazil.
Scientists have devised a method to pinpoint active ingredients from traditional Chinese medicine formulations, revealing 4 analytes with significant anti-inflammatory activity. This breakthrough could improve quality control standards and lead to better herbal remedies.
A team of scientists from Osaka University developed a machine learning method for classifying the type of building and its primary façade color using deep learning models applied to street-level images. This work may assist in fostering neighborhood cohesion and support urban renewal by providing tailored street-view datasets.
Researchers developed a machine learning-powered platform, OC-SMART, to process ocean color in satellite images, solving a 30-year-old problem in retrieving data from coastal regions and open ocean areas. The tool provides useful data on chlorophyll concentrations and phytoplankton presence, helping to understand the ocean's state.
Researchers developed a platform for rapid chiral analysis, producing chromatogram-like output without separation. The method effectively resolved a wide range of chiral molecules, including pharmaceuticals and biomolecules.
Researchers at Penn State and Xiangtan University developed a device that analyzes sweat for biomarkers like pH and glucose to monitor health conditions. The single-opening device reduces evaporation and allows for on-the-spot analysis using a colorimetric approach.
A new analysis method developed by the World Institute of Kimchi allows for the rapid detection of capsaicin and dihydrocapsaicin in kimchi, reducing analysis time from an hour to just 53 seconds. This technique improves detection sensitivity by 4,230 times and 2,382 times compared to conventional HPLC methods.
A study by Bruce E. Lyon and Daizaburo Shizuka found that juvenile ornamentation in American coots helps parents determine which chicks will benefit most from care and nutrition. The researchers discovered that later-hatched, redder chicks received preferential treatment and increased food portions from their parents.
A KAIST research team has developed a gallium-based metal complex enabling the rapid chiral analysis of alcohols using nuclear magnetic resonance spectroscopy. This new method can determine enantiomeric excess within minutes, benefiting researchers in organic chemistry and the pharmaceutical industry.
Researchers at the University of Copenhagen have developed a new method for analyzing gas chromatographic data using deep learning, allowing for faster and more accurate results. This technology has the potential to improve food quality control, detect food fraud, and enhance patient care by analyzing blood samples.
Researchers have created a low-cost smartphone system using nano-colorimetry and dark-field microscopy to detect lead in tap water. The system can identify concentrations as low as 5 parts per billion, posing a significant risk to health, especially for young children.
Researchers at the University of South Florida have developed a mobile version of ELISA, enabling point-of-care testing in doctor's offices and clinics. The new MELISA device measures progesterone levels and other hormones, making biomedical testing simple and affordable.
Researchers have developed a credit-card-sized gas chromatography platform that can analyze volatile compounds within seconds. The hybrid integrated approach allows for individual components to be miniaturized on separately fabricated chips, increasing the system's portability and throughput.
Raspberries are sought after for their health benefits, with growing demand for novel fruit colors. Researchers found that different colored raspberries have distinct postharvest qualities, including decay incidence and juice leakage rates.
A pilot study found that breath testing can accurately discriminate between benign and malignant pulmonary nodules. The technique, using volatile organic compounds and chemical nanoarrays, identified 53 malignant and 19 benign nodules with high accuracy.
In a study by Ohio State University, consumers preferred to use few colors for an entire shoe design, with an average of only four colors used. They also favored identical or similar colors for different elements, avoiding contrasting color combinations. A small minority chose to highlight one element with a contrasting color.
A recent study published in HortScience found that Bounce fabric softener sheets can repel adult gnats, with a mean proportion of fungus gnat adults collected being significantly lower in sample compartments containing dryer sheets. The study attributed the effect to volatile compounds such as linalool and beta-citronellol.
Researchers have developed a less-expensive method to measure carotenoids in pumpkins and squash, which are rich in antioxidants. The study found strong correlations between colorimetric values and carotenoid content, enabling breeders to create new varieties with improved nutritional value.
A recent study published by the American Society for Horticultural Science found that conventional methods for measuring nitrate concentrations in plant tissue are often time-consuming, expensive, and impractical. The researchers developed a new method using rapid potentiometric and colorimetric techniques to measure nitrate concentrat...
A credit-card-sized gas chromatography platform is being developed to analyze volatile compounds in seconds, enabling faster diagnosis and monitoring of diseases like diabetes and breast cancer. The new architecture, named GC Matrix, will separate complex compounds using MEMS technology, improving speed, portability, and power efficiency.
Ancient and modern pot sherds found in New Mexico indicate possible fermentation of corn, potentially predating Spanish arrival. Gas chromatography analysis suggests similarities between ancient and Tarahumara Indian brews, but definitive proof elusive.
Scientists discovered that soil color can be as accurate as laboratory tests in predicting carbon content. The study found that typical description colors done by a soil scientist were nearly as effective in predicting SOC values as the more expensive method of deriving colors by a chroma meter.
A new instrument, PILS, automates aerosol sampling and provides more detailed time-dependent information on atmospheric pollutants. This allows scientists to make frequent measurements, revealing previously unknown morning and afternoon peaks in pollutant levels.
The new system can analyze many samples within seconds, nearly 5,000 times faster than other technology in screening samples of catalysts that react with liquids. It will speed up the analysis of combinatorial chemistry samples and reveal molecular mechanisms involved in gas-solid catalysis.