A team led by the University of Queensland has created a quick, needle-free malaria detection tool that has the potential to save hundreds of thousands of lives each year.
The Myah device, a new optical biometer, underwent clinical validation in research published in the journal Children. The study examined its consistency in biometric measurements and agreement with the widely available optical biometer, Myopia Master.
A team of researchers including a materials researcher from Oregon State University (OSU) has designed a superior tool to quantify light, contributing to a field called optical spectrometry in a manner that could enhance numerous things ranging from environmental monitoring to smartphone cameras.
A research group has proposed a new method to produce more detailed CT scan images of patients at the Biochemistry and Biophysics Center of the National Institutes of Health in Bethesda, Maryland, US.
A study published in the journal Diagnostics investigated the long-term implications of uncomplicated phacoemulsification on macular retinal perfusion using optical coherence tomography angiography in healthy aging patie...
A recent study published in Diseases highlights matrix-assisted laser desorption ionization time of flight mass spectrometry (MALDI-TOF MS) for discovering bacterial isolates from community patient urine samples and testing the isolated germs for antibiotic susceptibility.
A study published in the journal Cells proposes a lacunarity-based quantitative analysis method for assessing the nanoscale cellular structure and homogeneity of target molecules in single-molecule localization microscopy.
A study published in Biosensors gives an overview of silicon photomultipliers and their potential in clinical and bio-photonic applications. It also compared the silicon photomultipliers with different photodetectors based on their circuit design parameters.
Techniques for identification, screening, and monitoring of respiratory disease have come under the limelight as a result of the recent outbreak of coronavirus disease (COVID-19). A recent study published in Sensors determines the possibility of gathering respiratory signals from a wearable near-infrared spectroscopy (NIRS) sensor.
A paper recently published in Biosensors demonstrated the feasibility of using a new method based on hyperspectral microscopic imaging technology and machine learning for skin cancer diagnosis.