by | Jan 21, 2022 | Wang, Qing, Wang, Yong
— Technology Description
Researchers at Washington University in St. Louis have developed MRI post-processing software capable of imaging cellular components. The software matches specific patterns with a dictionary of signals corresponding to cellular components. While the researchers have previous…
by | Apr 26, 2021 | Chapman Jr., William "Will Jr", Leng, Xiandong, Mutch, Matthew, Uddin, Shihab, Zhu, Quing
— Technology Description:
Researchers led by Quing Zhu at Washington University have developed a method for imaging rectal tumors using photoacoustic microscopy and ultrasound with a machine learning component. This method is better able to differentiate residual cancer from healthy tissue following…
by | Apr 26, 2021 | Hawasli, Ammar, Jayasekera, Dinal, Lamichhane, Bidhan, Leuthardt, Eric, Ray, Wilson
— Technology Description:
Researchers at Washington University, led by Eric Leuthardt, have developed software that can identify specific brain regions involved in chronic low back pain from neuroimaging data. This software, powered by machine learning, relies on differences in cortical thickness an…
by | Mar 17, 2021 | Djuranovic, Sergej
— Technology Description
Researchers in Prof. Sergej Djuranovic’s laboratory have discovered short DNA coding motifs that can increase or decrease expression of recombinant proteins by 3-4 orders of magnitude in a variety of organisms. Together, these universal tools can provide tightly contro…
by | Feb 12, 2021 | Bergonzi, Karla, Culver, Joseph, Eggebrecht, Adam, Ferradal, Silvina
— Technology Description
Researchers in Prof. Joseph Culver’s laboratory have developed a patented, compact, lightweight functional neuroimaging device for long-term bedside monitoring. This technology, based on high-density diffuse optical tomography (HD-DOT), could be used as a surrogate for …