One-Photon Confocal Fluorescence Imaging

Point-scanning imaging systems are among the most widely used tools for high-resolution cellular and tissue imaging, benefiting from arbitrarily defined pixel sizes. The resolution, speed, sample preservation, and signal-to-noise ratio (SNR) of these systems are difficult to optimize simultaneously. Researchers show these limitations can be mitigated via the use of deep learning-based supersampling of undersampled [..]

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Optical Imaging System Captures Over A Million Cells In A Single Image

Coronary artery calcification is an important and independent predictor of adverse cardiovascular events such as heart attacks. But despite this knowledge, and the fact that it can be assessed from any chest CT scan, quantification of coronary artery calcium (CAC) is not automatically integrated into the patient pathway as it requires radiological expertise, time, and [..]

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Diagnostic Imaging Automation With Robotic Scanner

A team of researchers is developing an advanced X-ray imaging method that aims to improve the detection and diagnosis of breast cancer. The noninvasive technology uses dyes, called contrast agents, that are specifically designed to recognize molecularly breast cancer cells and bind to them. The dyes will amplify the X-ray signal for tumors when imaged [..]

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CBCT – Dental Diagnosis With Deep Learning

One of the most prevalent forms of oral cancer is oral squamous cell carcinoma (OSCC), for which the five-year survival rate has stubbornly remained at 50 percent for many years partly because diagnosis is usually made at a late stage. Better identification of both OSCC and the non-malignant lesions that can precede it would help [..]

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Diffraction Microscopy

Researchers have developed a microscopy method that does not require mechanical scanning. The technique drastically increases the effectiveness of fluorescence lifetime microscopy (FLIM). A major limitation to traditional fluorescence lifetime microscopy methods stems from the fact that fluorescence decay is fast-occurring — most ordinary cameras are unable to capture it. Using a single-point photodetector overcomes [..]

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Galaxy Evolution – Spectroscopy For Space Applications

An international team of scientists has published the results of an experiment that could provide a blueprint for the analysis of transition states in atoms and molecules. This would open up new opportunities to gain insights into important processes such as photocatalysis, elementary steps in photosynthesis, and radiation damage. The scientists used high-resolution electron spectroscopy [..]

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One-Photon Confocal Fluorescence Imaging

AI-based evaluation of medical imaging data usually requires a specially developed algorithm for each task. Scientists have now presented a new method for configuring self-learning algorithms for a large number of different imaging datasets – without the need for specialist knowledge or very significant computing power. The method, known as nnU-Net, can deal with a [..]

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Optical Imaging System Captures Over A Million Cells In A Single Image

Researchers have developed a fluorescent imaging method to image up to five different molecule types at a time, by measuring each signal from random, distinct locations throughout a cell. This approach could allow scientists to learn much more about the complex signaling networks that control most cell functions. There are thousands of molecules encoded by [..]

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Diagnostic Imaging Automation With Robotic Scanner

Researchers in Japan have shown that a glass surface embedded with self-assembled gold nanoparticles can improve resolution with a little added cost even using a conventional widefield microscope, facilitating high-resolution fluorescence microscopy capable of high-speed imaging of living cells. Because optical microscopes magnify light to obtain detailed images of a structure, the size of objects [..]

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Scanning Electron Microscopy Gets AI Boost

Superresolution microscopy – a technology that enables the acquisition of fluorescent micrographs of samples with a resolution well below the optical diffraction limit of ~250 nm – is rapidly evolving. Several methods have been developed during the past two decades that allow for this extension of conventional optical microscopy, and they have substantially contributed to [..]

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IR Detector - Dual-Band, CMOS-Compatible, Bias-Tunable

The terminal scanner installed at Marshall Hall, the U.S. Army Reserve Command, and the U.S. Forces Command headquarters scans any soldiers’ or civilians’ temperatures via the wrist. It also photographs their faces as they enter Marshall Hall. A major benefit of this terminal scanner is that it doesn’t require any touching. The device is officially [..]

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CBCT – Dental Diagnosis With Deep Learning

The temporomandibular joint (TMJ), which forms the back portion of the lower jaw and connects your jaw to your skull, is an anatomically complex and highly loaded structure consisting of cartilage and bone. About 10 million people in the United States alone suffer from TMJ dysfunction due to birth defects, trauma, or disease. A team [..]

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Diffraction Microscopy

An optical device that resembles a miniaturized lighthouse lens can make it easier to peer into Petri dishes and observe molecular-level details of biological processes, including cancer cell growth. The new microscope lens is also very cost-effective. Many bioimaging techniques require fluorescent dyes to be added to specific cell targets. But a recently developed Stimulated [..]

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Galaxy Evolution – Spectroscopy For Space Applications

Researchers recently examined how cells in the brains of people at risk for developing Alzheimer’s disease make and use energy. Relationships between the brain’s energy metabolism and the risk of Alzheimer’s disease have been reported previously. But this is the first study to clearly distinguish different energy molecules in the brain using high-powered imaging called [..]

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One-Photon Confocal Fluorescence Imaging

Researchers are working to harness a deep learning framework to learn more about how mental illness and other disorders affect the brain. The team is combining different types of brain imaging data to capture patterns that are indicative of brain disorders. Their work is funded by a $2.4 million, a four-year award from the National [..]

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Optical Imaging System Captures Over A Million Cells In A Single Image

Tuberculosis (TB) disease affects 10 million people worldwide every year and is the leading cause of death from an infectious disease. New TB biomarkers are required for a variety of applications, including detection of sub-clinical disease for early intervention to prevent disease progression; detection of new active TB cases; and for monitoring of treatment response [..]

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Scanning Electron Microscopy Gets AI Boost

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the third and most impactful example of a potentially lethal coronavirus infection in humans within the last 20 years. Coronaviruses are positive-stranded RNA (+RNA) viruses that replicate their unusually large genomes in the host cell’s cytoplasm. This process is supported by an elaborate virus-induced network of transformed [..]

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