The new automated method, called HybridFlow, uses large-scale aerial images to produce precise 3D models of cityscapes and landscapes. This technology has potential applications in natural disaster risk assessment and mitigation, enabling informed decision-making and evaluation of risk-mitigating factors.
SourceConcordia University·JournalScientific Reports·TypeComputational simulation/modeling·DateFeb 7, 2023
Researchers developed high-throughput Raman microscope for rapid large-area imaging hundreds of times faster than traditional approach. The new technique enables label-free molecular analysis and multiplex chemical imaging, holding promise for efficient medical diagnoses and drug development.
SourceOptica·JournalBiomedical Optics Express·DateFeb 7, 2023
New research from the University of Georgia reveals that artificial intelligence can be used to find planets outside our solar system. Machine learning can analyze environments where planets are still forming, helping scientists overcome difficulties such as distance and data thickness.
SourceUniversity of Georgia·JournalThe Astrophysical Journal·DateFeb 7, 2023
DJI Air 3 (RC-N2)
DJI Air 3 (RC-N2) captures 4K mapping passes and environmental surveys with dual cameras, long flight time, and omnidirectional obstacle sensing.
A mindfulness-based intervention program significantly decreased subjective anxiety and improved emotional regulation in AN patients. The study found changes in brain regions involved in anxiety, emotion arousal, and self-referential processing.
SourceKyoto University·JournalBJPsych Open·TypeExperimental study·DateFeb 3, 2023
The JIPipe software enables automated analysis of images generated in research without requiring programming skills. Users can create flowcharts and perform automatic image analyses using artificial intelligence.
SourceLeibniz Institute for Natural Product Research and Infection Biology - Hans Knöll Institute -·JournalNature Methods·TypeImaging analysis·DateJan 31, 2023
A research team developed an AI-powered method to automatically detect single cells in microscopic images, achieving a mean Average Precision (mAP) of 0.989. This technology reduces human labor and improves single-cell analysis, enabling the discovery of new treatment methods for diseases.
SourceToyohashi University of Technology (TUT)·JournalScientific Reports·TypeExperimental study·DateJan 29, 2023
Nikon Monarch 5 8x42 Binoculars
Nikon Monarch 5 8x42 Binoculars deliver bright, sharp views for wildlife surveys, eclipse chases, and quick star-field scans at dark sites.
Scientists at Göttingen University have created a novel approach to produce X-ray images in color from a single exposure, eliminating the need for focusing and scanning. This breakthrough method uses an X-ray color camera and a specially structured plate to capture the intensity pattern of fluorescing atoms in a sample.
SourceUniversity of Göttingen·JournalOptica·TypeExperimental study·DateJan 24, 2023
Researchers developed a multimodal imaging-based tool, the active biopsy guidance system (ABGS), to improve oral cancer diagnosis. The ABGS provides clinically actionable direct visible guidance for biopsies, enhancing precision and potentially saving lives.
SourceSPIE--International Society for Optics and Photonics·JournalJournal of Biomedical Optics·DateJan 19, 2023
Researchers use coherent correlation imaging to image the evolution of magnetic domains in time and space without prior knowledge. The study reveals thermal motion and pinning effects on domain boundaries, unlocking new insights into magnetism's microcosm.
SourceDOE/Brookhaven National Laboratory·JournalNature·TypeExperimental study·DateJan 18, 2023
Researchers have developed shortwave-infrared and thermal imaging techniques to accurately diagnose active dental caries. SWIR-based approach shows superior results in detecting lesions, while thermal imaging proves less effective.
SourceSPIE--International Society for Optics and Photonics·JournalJournal of Biomedical Optics·DateJan 11, 2023
Scientists have developed AI techniques to track crevasses on the Thwaites Glacier, which could impact global sea levels by up to 60cm. The study found a complex interplay between crevasse formation and ice flow speed changes.
SourceUniversity of Leeds·JournalNature Geoscience·TypeImaging analysis·DateJan 9, 2023
Apple MacBook Pro 14-inch (M4 Pro)
Apple MacBook Pro 14-inch (M4 Pro) powers local ML workloads, large datasets, and multi-display analysis for field and lab teams.
A team of astronomers discovered 87 galaxies that could be the earliest known galaxies in the universe using data from NASA's James Webb Space Telescope. This finding suggests a revision to our understanding of galaxy formation, indicating that more galaxies may have formed earlier than previously thought.
SourceUniversity of Missouri-Columbia·JournalThe Astrophysical Journal Letters·DateJan 9, 2023
Researchers found that white matter hyperintensities are independently associated with premature brain aging, leading to progressive age-like brain atrophy. The study used machine-learning algorithms to estimate brain age and analyzed the relationship between WMH load and BrainGAP scores.
SourceImpact Journals LLC·JournalAging-US·TypeObservational study·DateDec 22, 2022
Jon A. Jacobson, MD, FACR, has been recognized as the 2023 ARRS Distinguished Educator for his exceptional contributions to radiological education and innovative educational activities. He is a renowned expert in musculoskeletal ultrasound and MRI, with over 250 peer-reviewed publications.
SAMSUNG T9 Portable SSD 2TB
SAMSUNG T9 Portable SSD 2TB transfers large imagery and model outputs quickly between field laptops, lab workstations, and secure archives.
Researchers at RIT have made a groundbreaking discovery confirming the light emitted by stars outside our galaxy is two to three times brighter than previously thought. This finding suggests a possible absence of optical light sources in the universe, potentially changing our understanding of how it formed over time.
SourceRochester Institute of Technology·JournalThe Astrophysical Journal·DateDec 16, 2022
Researchers used dental microwear texture analysis to infer feeding habits of large theropods, including T. rex and Allosaurus. The study found that these dinosaurs did not eat bones as frequently as thought, with juveniles having a different feeding behavior.
SourceUniversity of Tokyo·JournalPalaeontology·TypeImaging analysis·DateDec 9, 2022
Scientists at Tokyo University of Science developed an 'extended Landau free energy model' to analyze complex interactions in nanomagnetic devices, enabling causal analysis and visualization. The model proposed optimal structures for nano-devices with low power consumption.
SourceTokyo University of Science·JournalScientific Reports·TypeComputational simulation/modeling·DateNov 29, 2022
Researchers used microCT to create a 3D atlas of lung lesions in TB and COVID-19, revealing complex shapes and hidden pathological structures. The study provides new insights into the microscopic anatomy of these deadly diseases.
SourceUniversity of Alabama at Birmingham·JournalEMBO Molecular Medicine·TypeExperimental study·DateNov 29, 2022
Apple iPhone 17 Pro
Apple iPhone 17 Pro delivers top performance and advanced cameras for field documentation, data collection, and secure research communications.
Researchers from the University of Johannesburg deployed Few Shot Learning (FSL) for NIALM, a non-intrusive appliance load monitoring system. FSL requires only 7 test images to recognize appliances with 97.83% accuracy, making it faster and more cost-effective than traditional Machine Learning.
SourceUniversity of Johannesburg·JournalComputational Intelligence and Neuroscience·TypeImaging analysis·DateNov 21, 2022
Deep learning empowers cell image analysis by automating tasks such as segmentation and tracking, improving research efficiency. However, there are challenges in data quantity, quality, and confidence that remain to be addressed.
SourceIntelligent Computing·JournalIntelligent Computing·DateNov 21, 2022
Researchers developed an AI tool that analyzes plaque features on coronary CT scans to predict reduced blood flow, potentially reducing invasive tests. The tool could help doctors determine the next step in treatment plans and risk-stratify patients correctly.
SourceCedars-Sinai Medical Center·JournalCirculation Cardiovascular Imaging·DateNov 14, 2022
Garmin GPSMAP 67i with inReach
Garmin GPSMAP 67i with inReach provides rugged GNSS navigation, satellite messaging, and SOS for backcountry geology and climate field teams.
Researchers at CABBI used unmanned aerial vehicles with machine learning methods to select the best candidate genotypes in miscanthus breeding programs. The new method leverages high-resolution aerial imagery and three-dimensional neural networks to estimate crop traits such as flowering time, height, and biomass production.
SourceUniversity of Illinois at Urbana-Champaign Institute for Sustainability, Energy, and Environment·JournalRemote Sensing·TypeExperimental study·DateNov 4, 2022
Researchers from the University of Kassel developed an approach to extend the limits of interferometric topography measurements for optical resolution below small structures. Microsphere assistance enables fast and label-free imaging without requiring extensive sample preparation.
SourceSPIE--International Society for Optics and Photonics·JournalJournal of Optical Microsystems·DateNov 1, 2022
A Tel Aviv University study reveals that the Israeli shoreline is contaminated with more than two million tons of microplastics, with Tel Aviv and Hadera beaches being the most polluted. The researchers warn that exposure to microplastic waste is unavoidable and poses a risk to human health.
SourceTel-Aviv University·JournalMarine Pollution Bulletin·DateOct 30, 2022
Researchers have discovered that reef halos, visible from satellite imagery, can provide insights into coral reef health globally. These bands of bare seafloor surrounding coral patch reefs are more common and dynamic than expected, with the potential to serve as a window into reef health.
SourceUniversity of Hawaii at Manoa·JournalThe American Naturalist·TypeData/statistical analysis·DateOct 21, 2022
Kestrel 3000 Pocket Weather Meter
Kestrel 3000 Pocket Weather Meter measures wind, temperature, and humidity in real time for site assessments, aviation checks, and safety briefings.
A new study from the University of Kansas reveals that media coverage of Hurricane Harvey in 2017 perpetuated racial biases in image presentation, showing people of color as displaced migrants, women as damsels in distress, and white men as saviors. The study highlights how these representations reinforce cultural narratives and stereo...
SourceUniversity of Kansas·JournalCritical Studies in Media Communication·TypeObservational study·DateOct 10, 2022
A new study published in Nature on saliency heat maps in medical imaging reveals that these tools consistently underperform human radiologists in image assessment and identifying pathological lesions. The researchers caution that saliency-based heat maps should be further refined before being widely adopted in clinical AI models.
SourceHarvard Medical School·JournalNature Machine Intelligence·TypeComputational simulation/modeling·DateOct 10, 2022
New research highlights the dangers of AI-powered recruitment tools that claim to remove discrimination from hiring. The tools reduce race and gender to trivial data points and often rely on personality analysis that is
SourceUniversity of Cambridge·JournalPhilosophy & Technology·DateOct 9, 2022
A new study has identified 195 previously unknown nectar plants for the painted lady butterfly, providing a source of food in Southern California. The research suggests that droughts may impact the butterflies' ability to reproduce, but the discovery of these nectar plants offers hope for their survival.
SourceUniversity of California - Riverside·JournalEnvironmental Entomology·DateOct 5, 2022
Aranet4 Home CO2 Monitor
Aranet4 Home CO2 Monitor tracks ventilation quality in labs, classrooms, and conference rooms with long battery life and clear e-ink readouts.
A Brazilian study reveals that SARS-CoV-2 targets astrocytes in the brain, reducing neuron viability and causing damage. Infection was confirmed using MRI scans of mild COVID-19 patients and experiments on human nerve cells.
SourceFundação de Amparo à Pesquisa do Estado de São Paulo·JournalPNAS Nexus·DateSep 30, 2022
Researchers developed a novel three-core optical fiber sensor to accurately measure both the magnitude and direction of spine curvature. The sensor offers advantages like low cost, high sensitivity, and small size, making it a promising tool for doctors to diagnose problems in spine curvature.
SourceSPIE--International Society for Optics and Photonics·JournalOptical Engineering·DateSep 27, 2022
A team of scientists from China published a perspective paper on the use of AI in skin diseases, highlighting its potential to assist clinicians. They propose several recommendations to improve AI-assisted diagnosis systems, including establishing a robust database and adapting algorithms to existing real-world databases.
SourceHealth Data Science·JournalHealth Data Science·TypeCommentary/editorial·DateSep 22, 2022
AmScope B120C-5M Compound Microscope
AmScope B120C-5M Compound Microscope supports teaching labs and QA checks with LED illumination, mechanical stage, and included 5MP camera.
A large retrospective study found that visceral fat area from fully automated and normalized abdominal CT analysis predicts subsequent myocardial infarction or stroke in Black and White patients. The study suggests that body composition analysis using machine learning could be widely adopted to add prognostic utility to clinical practice.
SourceAmerican Roentgen Ray Society·JournalAmerican Journal of Roentgenology·TypeImaging analysis·DateAug 31, 2022
A team of Brazilian researchers has developed a novel technique using light and artificial intelligence to identify the maturity stages of soybean seeds. The method utilizes chlorophyll fluorescence and machine learning algorithms to classify commercial seeds with high accuracy. This innovation avoids destroying seeds, which are then c...
SourceFundação de Amparo à Pesquisa do Estado de São Paulo·JournalFrontiers in Plant Science·DateAug 25, 2022
A homemade microspectrometer invented by Dr. Jamie Laird enables scientists to image defects in perovskite solar cells, improving stability and efficiency. This innovative technique has the potential to revolutionize next-generation photovoltaics, including space missions.
SourceARC Centre of Excellence in Exciton Science·JournalSmall Methods·TypeExperimental study·DateAug 24, 2022
Researchers developed a label-free Raman spectroscopy approach with enhanced sensitivity and speed, allowing for non-invasive imaging of biological samples. The new CARS microscopy system can acquire microscopic images and identify biomolecules with unprecedented resolution and speed.
Researchers used machine learning algorithms and k-D tree data structure to identify 11 previously undetected space anomalies, seven of which are supernova candidates. The team analyzed digital images of the Northern sky taken in 2018 using a k-D tree to detect anomalies through the 'nearest neighbour' method.
SourceNational Research University Higher School of Economics·JournalNew Astronomy·DateAug 5, 2022
Creality K1 Max 3D Printer
Creality K1 Max 3D Printer rapidly prototypes brackets, adapters, and fixtures for instruments and classroom demonstrations at large build volume.
A new photoswitching fingerprint analysis overcomes the sub-10 nm resolution barrier in super-resolution microscopy, enabling the imaging of dynamic interactions with other molecules in cells. This breakthrough reveals molecular functions and architectures at the nanoscale, shedding light on cellular processes such as learning and memory.
SourceUniversity of Würzburg·JournalNature Methods·TypeExperimental study·DateAug 2, 2022
A new software program, Mistic, allows for the simultaneous viewing of tissue images through dimensionality reduction methods. The software enables the extraction of data from multiplexed images, facilitating the understanding of cancer biology and the development of new therapies.
SourceH. Lee Moffitt Cancer Center & Research Institute·JournalPatterns·TypeImaging analysis·DateJul 21, 2022
Researchers developed a mathematical model to predict the efficiency of nanoparticle delivery into cells, particularly in stem cells. They found that nanoparticles become trapped in bubble-like vesicles, preventing them from reaching their targets.
SourceXi'an Jiaotong-Liverpool University·JournalACS Nano·TypeExperimental study·DateJul 20, 2022
Researchers at Hebrew University have developed a new method using quantitative MRI to diagnose early-stage Parkinson's disease. This technique reveals biological changes in the brain, enabling early diagnosis and monitoring of treatment efficacy.
SourceThe Hebrew University of Jerusalem·JournalScience Advances·TypeImaging analysis·DateJul 15, 2022
A new AI technology called in silico FOCUS analyzes cell images to predict therapeutic effect of drugs for neurodegenerative disorders like Kennedy disease. The technology has 100% accuracy and can analyze several hundred thousand cells in just a few minutes.
SourceNagoya University·JournalScientific Reports·DateJul 12, 2022
Celestron NexStar 8SE Computerized Telescope
Celestron NexStar 8SE Computerized Telescope combines portable Schmidt-Cassegrain optics with GoTo pointing for outreach nights and field campaigns.
The American Journal of Roentgenology has dramatically increased its impact factor from 3.959 to 6.582 in 2021, according to Journal Citation Reports. The journal's new ranking places it in the 83rd percentile in the Radiology category, reflecting the high quality of work by authors and reviewers.
SourceAmerican Roentgen Ray Society·JournalAmerican Journal of Roentgenology·TypeImaging analysis·DateJul 12, 2022
Researchers developed a neural network algorithm that recognizes emotions and engagement from video images of faces, outperforming existing models in accuracy. The system can be integrated into video conferencing tools and online learning systems to analyze participant engagement and emotions.
SourceNational Research University Higher School of Economics·JournalIEEE Transactions on Affective Computing·DateJul 4, 2022
A new open-path mid-infrared spectrometer can precisely measure isotopologue ratios in atmospheric water vapor in under 15 minutes, offering improved accuracy for climate change modeling and air quality monitoring. The instrument's dual-comb technique enables spatially resolved studies of water vapor transport over natural ecosystems.
The study found that the use of comics for humour, visual-verbal interplay, informality, simple narrative plots, and exaggerated personalities contributed to the campaign's enduring success. The researchers argue that humour is a powerful discursive strategy to educate the public, making content relatable while addressing taboo topics.
SourceNanyang Technological University·JournalDiscourse Context & Media·TypeMeta-analysis·DateJun 28, 2022
A scoping review of knowledge graph applications in medical imaging analysis identifies increasing trend and potential future directions. The study highlights the effectiveness of prior knowledge in medical imaging tasks, but also reveals limitations, including limited annotated data and weak generalizability.
SourceHealth Data Science·JournalHealth Data Science·TypeLiterature review·DateJun 24, 2022
Apple AirPods Pro (2nd Generation, USB-C)
Apple AirPods Pro (2nd Generation, USB-C) provide clear calls and strong noise reduction for interviews, conferences, and noisy field environments.
A new analysis method reveals that the original SARS-CoV-2 viral strain used a sugar binding feature to infect human cells, which was later lost in variants. This discovery raises questions about the origins of the virus and its transmission to humans.
SourceThe Rosalind Franklin Institute·JournalScience·TypeExperimental study·DateJun 23, 2022
Computer scientists have developed a system to analyse noise produced by individual cameras, linking videos or images to specific cameras. The tool extracts camera-specific noise from video frames, achieving high accuracy rates and potential practical use for law enforcement.
SourceUniversity of Groningen·JournalExpert Systems with Applications·TypeImaging analysis·DateJun 21, 2022
Researchers use machine learning to automatically analyze Reflection High-Energy Electron Diffraction (RHEED) data, enabling faster and more efficient discovery of new materials. The study focused on surface superstructures in thin-film silicon surfaces and identified optimal synthesis conditions using non-negative matrix factorization.
SourceTokyo University of Science·JournalScience and Technology of Advanced Materials Methods·TypeExperimental study·DateJun 16, 2022
Researchers developed an AI method to automatically detect plaque erosion in heart arteries using OCT images. The new technique uses neural networks and post-processing algorithms to predict regions of possible plaque erosion and refine the initial prediction based on clinically interpretable features.
SourceOptica·JournalBiomedical Optics Express·DateJun 16, 2022
A team from KAUST has developed a low-cost system for imaging plant growth dynamics noninvasively and at high throughput. The Mutiple XL ab system combines computer vision and pattern recognition technologies with machine learning to analyze and quantify root growth dynamics.
SourceKing Abdullah University of Science & Technology (KAUST)·JournalPlant Methods·DateJun 12, 2022
Sky-Watcher EQ6-R Pro Equatorial Mount
Sky-Watcher EQ6-R Pro Equatorial Mount provides precise tracking capacity for deep-sky imaging rigs during long astrophotography sessions.
Researchers have used high-speed 4D neutron computed tomography to visualize the three-dimensional water distribution within fuel cells. This allows for optimized channel design and increased efficiency, as excess water can be drained without compromising membrane integrity.
SourceHelmholtz-Zentrum Berlin für Materialien und Energie·JournalNature Communications·TypeExperimental study·DateJun 3, 2022
Researchers used AI to compare brain images of individuals with Autism Spectrum Disorder to computer-generated simulations, revealing links between brain anatomy and symptoms. The discovery could help understand ASD causes and develop targeted interventions.
SourceBoston College·JournalScience·TypeExperimental study·DateJun 2, 2022
Researchers studied meiotic cohesin complexes' effect on chromosome structure and genomic integrity in embryonic stem cells. Maintaining adequate levels of REC8 and STAG3 factors ensures chromosomal stabilization and sister chromatid cohesion.
SourceChung Ang University·JournalGenome Biology·TypeExperimental study·DateMay 27, 2022
The review highlights advances in fundamental visualization methods for medical images in 3D, including scalar, vector, and tensor data. Medical professionals can quickly locate proper techniques using a taxonomy of medical problems and examples of health applications.
SourceHealth Data Science·JournalHealth Data Science·TypeLiterature review·DateMay 23, 2022
Meta Quest 3 512GB
Meta Quest 3 512GB enables immersive mission planning, terrain rehearsal, and interactive STEM demos with high-resolution mixed-reality experiences.
A new computer-aided diagnostic tool, Deep-Lung Parenchyma-Enhancing (DLPE), uses artificial intelligence to reveal signs of pulmonary fibrosis in COVID long-haulers, helping to explain respiratory symptoms and improve disease management.
SourceKing Abdullah University of Science & Technology (KAUST)·JournalNature Machine Intelligence·TypeImaging analysis·DateMay 23, 2022
Researchers developed a system to estimate the probability of a majority response being wrong, eliminating unnecessary task assignments and increasing efficiency in crowdsourcing projects. This method can be applied to various binary classification tasks, reducing labor and improving accuracy.
SourceInternational Institute for Applied Systems Analysis·JournalPLOS ONE·DateMay 19, 2022
The QUSTom project aims to develop a new medical imaging modality using ultrasound and supercomputing, improving breast cancer diagnosis and potentially replacing mammograms. The technology will offer superior image quality and better tumor monitoring, while being completely safe for patients.
The Cardiovascular Research Foundation (CRF) announced that TVT: The Structural Heart Summit will feature 12 studies as Late-Breaking Clinical Science and Featured Clinical Research. These studies highlight advances in transcatheter aortic valve replacement, mitral, tricuspid, and left atrial appendage occlusion therapies.