Rice University’s Center for Nanoscale Imaging Sciences (NIS) hosted its inaugural workshop, Imaging Across Scales from Atoms to Human, Nov. 14-16 at the BioScience Research Collaborative. The event ...
In a study led by Tampere University, researchers have developed a new lensless imaging method that produces precise ...
The work that life sciences researchers do may seem remote and mysterious to the average person, but the fruits of their labor frequently have a major impact on our daily lives. It can take a long ...
Fluorescence imaging can be conducted with long Stokes shift dyes that minimize crosstalk between the excitation source and fluorescent emission to improve the signal-to-background ratio. Regardless, ...
Students get their hands dirty from day one researching, designing, and building a functional imaging system in time for RIT's annual research and creativity festival, Imagine RIT. The imaging science ...
All imaging science BS students participate in undergraduate research. Starting on day one with the Freshman Imaging Project, our students dive into hands-on learning experiences and continue growing ...
Authors Alfred S. McEwen, Maria E. Banks, Nicole Baugh, Kris J. Becker, Aaron Boyd, James W. Bergstrom, Ross A. Beyer, Edward Bortolini, Nathan T. Bridges, Shane ...
The Falcon-1335MRH is a 13MP monochrome rolling shutter USB 3.2 Gen1 camera built on the Onsemi AR1335 sensor with VCM ...
The discovery of X-rays in 1895 by German physicist Wilhelm Conrad Röntgen marked a major advance in science and medicine, making it possible for physicians to see inside the human body for the first ...
Technology could lead to faster, more precise and more cost-effective alternatives to traditional diagnostic methods. New technology developed by researchers at the University of Houston could ...
Hyperspectral imaging (HSI) is a state-of-the-art imaging technique useful for determining the composition of a variety of objects. Specifically, over-thousand-nanometer (OTN) HSI is particularly ...
Life-science research is under pressure: more samples, more data, increasing demand for reproducibility, and tighter timelines. Automation has become a cornerstone—not just to save time, but to ...
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