Researchers confirmed that Maisie's Galaxy is at a high redshift of z ≈ 11.5 and disproved the existence of a previously thought-to-be-most-distant galaxy. The study also revealed another galaxy at a lower redshift, contradicting initial theories.
A team of researchers, including RIT's Joel Kastner, have discovered new evidence of how planets as massive as Jupiter can form through gravitational instability around a young star. The discovery was made using images from the ESO's Very Large Telescope and the Atacama Large Millimeter/submillimeter Array.
RIT Professor Roger Easton and his team used multispectral imaging to reveal detailed drawings on an ancient Greek palimpsest, reconstructing Hipparchus' Star Catalogue. The discovery showcases the technique's growing role in historical preservation, with RIT supporting locations across US and Europe.
A study published in Journal of Managed Care & Specialty Pharmacy found that an individual's prior adherence behavior is a key predictor of future adherence. The research suggests interventions can move patients to adherence at any time, leading to better adherence in the future.
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.
Researchers used computer simulations to show that SARS-CoV-2 variants can attach to host cells in both bats and humans using their spike proteins. The study's findings suggest a significant risk of mammalian cross-species infectivity, contradicting initial expectations of reduced transmission.
Assistant Professor Nourridine Siewe developed a new mathematical model to assess different approaches for treating metastatic cancer. The model evaluates the interactions among immune cells and cancer, helping clinicians decide on the best treatment strategies.
A massive study on white clover found that urbanization leads to adaptive evolution at a global scale. RIT scientists collected over 110,000 samples from 160 cities across six continents to test a chemical defense compound's effect on stress tolerance.
Researchers at RIT have created a biophysical model that can predict changes in cartilage mechanics and function during disease pathways. The model, informed by experimental data, enables noninvasive predictions using MRI scans, potentially reducing the need for invasive procedures.
Researchers confirm a rare and massive black hole merger with an eccentric orbit, shedding light on the formation of supermassive black holes in dense star clusters. The study's findings have significant implications for our understanding of black hole dynamics and the evolution of galaxies.
Researchers at RIT have developed a new method for detecting superfluid motion that is minimally destructive, in situ, and in real-time. The technique uses laser light to detect the frequency of superfluid rotation, enabling scientists to study superfluids without disrupting their motion.
Researchers used complex computer simulations to study the attachment of SARS-CoV-2 and its variants to human cells. They found that the virus has two main locations where it grabs onto the host cell receptor ACE2, with early strains having a slippery interaction at one region that becomes less slippery as variants evolve.
A mechanical engineering faculty-researcher at RIT is developing a microfluidic device to improve the detection of drug-resistant bacteria in blood, which can cause severe infection and death. The goal is to detect these strains early, allowing for prompt treatment and recovery.
The RIT workshop series on sustainable computing aims to create computers with environmental consciousness from raw materials to recycling. Keynote speakers will discuss trends in computing and its environmental footprint.
RIT's imaging science program is uniquely qualified to study the limits of spectral remote sensing imaging systems. Researchers aim to develop a tool that can predict how well these systems accomplish tasks.
The Cosmic Infrared Background Experiment-2 (CIBER-2) has completed a successful first launch, aiming to better understand extragalactic background light and resolve discrepancies about the number of stars in the universe. The experiment will analyze data collected during four planned launches over several years.
Researchers at Rochester Institute of Technology are creating a cost-effective and accurate 3D reconstruction sensing system for crop monitoring. They aim to reduce the cost from $500,000 to just a few thousand dollars by using lighter and less expensive sensors.
Infants from deaf families exposed to American Sign Language at home looked primarily at the face while watching a signer, whereas those with hearing parents who spoke English barely looked at the hands. The study suggests that sign-language exposure impacts infant gaze patterns and may support later language learning.
A team of RIT researchers is working on developing an artificial intelligence system that can learn over time and play the popular video game Starcraft II. This project has the potential to advance practical solutions such as self-driving cars, service robots, and other real-world applications.
Assistant Professor Guoyu Lu is creating an AI system that uses smartphones to analyze crop roots, enabling quick and efficient analysis of root shape, surface area, and angles. The goal is to develop a mobile app that can assess various crops and improve breeding resilient crops.
A validated tool measuring child feeding practices, sDOR.2-6y, provides a quantifiable assessment of parents' adherence to the Satter Division of Responsibility in Feeding approach. The survey identifies children at nutrition risk and correlates with other validated instruments on parent feeding.
Professor Jan van Aardt is developing drone-based solutions to analyze nutrient levels in grapevines using hyperspectral and LiDAR imaging systems. The goal is to provide practical sensing tools for farmers to optimize fertilization efforts and improve vineyard productivity.
Researchers from RIT and Green Bank Observatory used Hubble Space Telescope images to analyze the Butterfly Nebula (NGC 6302) and Jewel Bug Nebula (NGC 7027), shedding light on nebula formation processes. The study confirmed that the Butterfly Nebula was ejected only about 2,000 years ago, with its S-shaped iron emission possibly even ...
A team of scientists from Rochester Institute of Technology and Instituto Argentino de Radioastronomiá completed a yearlong pulsar timing study using two upgraded radio telescopes in Argentina. The observations provided accurate bounds to gravitational waves, increasing the sensitivity of existing pulsar timing arrays.
A Rochester Institute of Technology imaging scientist has received $194,000 in NGA grants and $197,000 from NASA to develop a new waveform LiDAR method that can create clearer 3D sub-canopy maps of forests. This technology will aid in identifying potential threats and understanding forest physiology.
A RIT professor is leading a research project to develop low-cost, high-efficiency solar cells using a reusable substrate process. The goal is to reduce the cost of these efficient solar cells, which can power devices like smartphones, drones, and cars.
A new study suggests that colleges should offer introductory, multidisciplinary courses with few prerequisites to teach fundamental concepts in quantum information science and technology. This will allow students across disciplines to learn the core concepts together, preparing them for a growing industry with applications in various f...
RIT scientists developed record-breaking simulations of unequal mass black hole mergers to aid the development of next-generation gravitational wave detectors. These simulations calculate key properties of merged black holes, enabling the comparison of signals received by advanced detectors.
A research team at RIT won a Catalyst Award for their project using a smart toilet seat to provide in-home monitoring of critical health data. The system detects heart rates, blood flow, and oxygenation, providing near real-time information to physicians.
A Rochester Institute of Technology scientist is exploring phase separation in bacterial chromatin with a $559,000 NSF grant. The project aims to understand how this process enables bacterial cells to compartmentalize functions and control biomolecular structures.
Researchers are developing an AI application to teach American Sign Language learners about associated facial expressions and head gestures. The project also aims to create tools for anonymous video communications, enabling private conversations among ASL users.
A joint project by RIT and URMC will monitor vital signs of heart failure patients using an AI-enabled toilet seat, aiming to reduce hospital return rates. The system records data on heart rate, blood flow, and oxygenation, providing near-real-time information to physicians.
RIT professors have received a National Science Foundation award to develop a hands-on data science course for non-computing majors. The course will teach students data science applications without requiring coding skills, addressing the growing demand for data science expertise in various disciplines.
The RIT Cary Graphic Arts Collection is preserving a rare collection of Hebrew wood types used by the Jewish-American press at the turn of the 20th century. The collection includes sets from one of the longest-running Yiddish daily newspapers still in publication, The Forward.
A recent study by Rain Bosworth explores how gaze behaviors reveal cognitive effort and knowledge in signers, with novice and fluent signers exhibiting different eye movements. Fluent signers primarily focus on the face and utilize peripheral vision to catch details.
Rochester Institute of Technology scientists played a key role in detecting the most massive gravitational wave binary observed to date, GW190521. The event revealed an intermediate-mass black hole with masses of about 85 and 66 solar masses.
The Rochester Institute of Technology is developing a low-cost spectral imaging system to help libraries and museums uncover obscured text on historical documents. The system aims to make imaging capability more accessible to curators, archivists, and librarians, enabling them to get more out of their collections.
Researchers at RIT developed MathDeck, an online search interface that allows anyone to easily create, edit, and lookup sophisticated math formulas. The math-aware search interface uses image processing and machine learning techniques to recognize formula images and hand-drawn symbols.
Researchers at Rochester Institute of Technology are developing a virtual reality-based rehabilitation strategy for stroke patients with cortically induced blindness. The approach utilizes eye-tracking technology and multisensory exercises to help patients regain lost portions of their visual field.
A team of Rochester Institute of Technology researchers will examine how microplastics accumulate in the lake's ecosystem using mathematical modeling, field surveys, fluid dynamics, genomic sequencing and other experiments. The goal is to inform policy and mitigation strategies for combating microplastic pollution.
Researchers at RIT have developed the first three-dimensional model to show where microplastic pollution is collecting in Lake Erie. The study found that plastic particles accumulate more heavily on the eastern shore of the lake, with different types of plastics concentrated in different areas.
The National Science Foundation has awarded a $440,000 grant to Rochester Institute of Technology researchers to develop the Einstein Toolkit for simulating black holes, neutron stars, and other astrophysical phenomena. The toolkit will be scaled up to handle exascale-level resources on large supercomputers.
Researchers designed a new microfluidic device that uses magnetic nano-beads to isolate minute bacterial particles. The device improves the detection of drug-resistant strains and difficult-to-detect micro-particles such as Ebola and coronaviruses.
Assistant Professor Michael Murdoch will create a computational model of human color perception in AR systems, funded by a five-year NSF CAREER grant. The project aims to enhance AR visual quality for fields like education, medicine, and transportation.
Rochester Institute of Technology received a grant from the National Science Foundation to fund scholarships and develop faculty programming for economically disadvantaged, academically talented students. The S-D CoMETS initiative aims to create a student-centered support network with knowledgeable faculty and peers.
Researchers propose a new theory on how massive, spinning black holes form near supermassive black holes at the centers of active galactic nuclei. This 'Pac-Man-like' behavior offers a natural explanation for high-mass binary black hole mergers and could help understand galaxy growth.
Scientists are developing a highly sensitive detector capable of sensing single photons, which could be crucial for finding Earth-like planets around other stars. The detector leverages Quanta Image Sensor technology and has several advantages, including the ability to operate at room temperature and resistance to radiation.
Researchers have sequenced the microbiome within crown gall tumors of grapevines, providing a database to assess disease stage and paving the way for new advances to combat the debilitating disease. The study sheds light on the complex interaction between the grapevine and its microbial community.
Researchers at RIT and RRHS have developed a non-invasive infrared imaging technology to detect breast cancer tumors hidden behind dense tissues. The technology takes 20 minutes to produce images that are more sensitive than current methods.
A study by RIT scientist Sukanya Chakrabarti found that the Antlia 2 dwarf galaxy's collision with the Milky Way produced the characteristic ripples in its outer disc. The discovery could help develop methods to hunt for dark galaxies and solve the long-standing puzzle of dark matter.