by | Sep 18, 2020 | Jha, Abhinav Kumar, Liu, Ziping, Moon, Hae Sol, Rahman, Md Ashequr, Yu, Zitong
— Engineers in Washington University’s Computational Medical Imaging Lab have developed automated, machine-learning techniques to improve nuclear medicine imaging (SPECT and PET). These tools include estimation-based segmentation methods to define boundaries and ASC (attenuation and scatter comp…
by | Apr 13, 2020 | Biswas, Pratim, Li, Jiayu
— Technology Description
Prof. Pratim Biswas and colleagues have developed an artificial intelligence platform to provide accurate, low-cost analysis of air and water quality by integrating data gathered from particulate matter (PM) sensors and other sources. This technology could be used to make th…
by | Apr 9, 2020 | Jiang, Qisheng, Jun, Young-Shin, Singamaneni, Srikanth, Wu, Xuanhao
— Technology Description
Engineers in Prof. Young-Shin Jun’s laboratory and Prof. Singamaneni’s laboratory have developed high performance, stable membrane materials that can be used for photothermal membrane distillation (PMD) to purify or desalinate water with minimal input of electric…
by | Apr 3, 2020 | Aono, Kenji, Chakrabartty, Shantanu, Kondapalli, Sri Harsha, Pochettino, Owen
— Engineers in Prof. Shantanu Chakrabarty’s laboratory have developed an RFID embedded sensor system for infrastructure-to-vehicle (I2V) communications that uses near-zero standby energy and offers the robust performance of actively powered communications. This technology is designed to provide …
by | Feb 27, 2020 | Jun, Young-Shin, Jung, Haesung
— Technology Description
Engineers in Prof. Young-Shin Jun’s laboratory have developed a cost-effective, fast, green chemistry process to produce birnessite (δ-MnO2) nanosheets with naturally abundant resources. This method uses sunlight and nitrate to oxidize Mn2+ (aq) to Mn (IV) and ha…