News

February 9, 2018

Congratulations to Dr. Junyang Chen, his recent paper "Mapping strain with magnetics" is published in Nature Electronics!

January 26, 2018

Congratulations to Patrick Quarterman, who has successfully defended his PhD thesis on January 26. His dissertation topic is High Anisotropy Magnetic Materials for Data Storage and Spintronic Memory. 

He will be joining the NIST through the NRC research associate program as a post doctoral physicist, at the NIST Center for Neutron Research (NCNR) with the magnetics group.

Congrats again, Dr. Quarterman!

Graduation of Dr. Quarterman

January 14, 2018

PhD student Patrick Quarterman is offered a National Research Postdoctoral Research Fellow to work in National Institute of Standards and Technology (NIST) starting from March 2018. He will be joining the NIST through the NRC research associate program as a post doctoral physicist, at the NIST Center for Neutron Research (NCNR) with the magnetics group.

Congratulations Patrick!

January 11, 2018

Yang Lv and Prof. Wang's recent work published in Nature Communications was highlighted in several news release. Congratulations!!!

Here are a couple of the media hits so far:

CSE websiteAAAS EurekAlert!NewswisePhys.org, Eurasia Review

In addition to Prof. Wang and Yang Lv, researchers involved in this study include Delin Zhang and Mahdi Jamali from our group and James Kally, Joon Sue Lee and Nitin Samarth from Pennsylvania State University Department of Physics.

January 5, 2018

Randomnes makes some computations simpler, now it can be done in a single MRAM-like device. IEEE spectrum interviewed Prof. Wang and Yang on their device, find the interview here.

At the 2017 IEEE International Electron Devices Meeting in San Francisco, Yang Lv and Prof. Jian-Ping Wang reported their device, similar to an MRAM memory cell, can perform the stochastic computing versions of both addition and multiplication on four logical inputs. They have made a big leap in a strange but growing field of computing,  called stochastic computing. The method uses random bits to calculate via simpler circuits, at lower power, and with greater tolerance for errors. Though it was first conceived in the 1960s, one of the things holding stochastic computing back was the lack of suitable devices to make it practical.

December 20, 2017

Congratulations to Xuan Li, who has successfully defended his PhD thesis on December 18. His dissertation topic is Iron Nitride based Magnetoresistance Devices for Spintronic Applications. 

Congrats again, Dr. Li!

Graduation of Dr. Li

December 14, 2017

Congratulations to Todd Klein, who has successfully defended his PhD thesis on December 14. His dissertation topic is Development of GMR Biosensors and Systems for Early Disease Detection.

Dr. Klein was a student leader of the Golden Gopher Magnetic Biosensing Team, which won the dinstinguished award for our group and University of Minnesota in the Nikia Sensing Xchallenge Competition. Dr. Todd Klein is the R&D director of Zepto Life Technology LLC, a start-up company co-founded by Prof. Wang.

Congrats again, Dr. Klein!

Graduation of Dr. Todd Klein

November 13, 2017

Diqing's poster titled “Giant Magnetoresistance Based Handheld Platform for Rapid Detection of Influenza A Virus” has received the Best Poster Award in her poster session with over 100 posters in total. The MMM conference is held in Pittsburgh, US this year, and has attracted researchers from all over the world for the discussion of a variety of topics on magnetism and magnetic materials.

Diqing and her coworkers from Prof. Jian-Ping Wang and Prof. Andres Perez’s groups demonstrated the outstanding performance of their GMR-based handheld system in the sensitive detection of Influenza A virus. By using a sandwich structure of capture antibody-antigen-detection antibody-magnetic nanoparticles on the GMR sensor surface, the detecting system can successfully detect both Influenza A Virus nucleoprotein and the purified H3N2 virus sample with a detection limit better than the Enzyme Linked Immunosorbent Assay (ELISA), which is a commonly used method for the virus detection. Moreover, with the size of a snack container and a user-friendly interface, this handheld system is capable of onsite detection, and the whole detection process can be finished within 10 minutes.

(More details on the handheld system can be had in the Z-Lab story)

Diqing Su receives Best Poster award at 2017 MMM

November 3, 2017

Scientists at the University of Minnesota have successfully developed and tested a prototype of Z-Lab, a portable diagnostic platform designed to perform on site testing of biological samples for various ailments. This is the first version of the prototype developed for point-of-care diagnostics. The details of the device and results of the test are reported in the paper “Portable GMR Handheld Platform for the Detection of Influenza A Virus” published recently in ACS Sensors.

The prototype was used to test for the presence of the influenza A virus (IAV) in a treated sample. The testing process, which parallels the commonly used ELISA test process, involves antibodies acting as sensors capturing a biomarker, to which a detectable object is added that will bind to the sensor-biomarker complex. In the case of Z-Lab, a GMR (Giant Magnetoresistance) chip is used as the surface, and a magnetic label (MNP) is the detectable object. If the disease indicator is present in the sample, magnetic tags will bind to the GMR sensor resulting in a change in the electrical signal. The signal is monitored by the Z-Lab handheld device which is capable of data processing, display, wireless communication, and GPS location services depending on the needs of the specific application.

This breakthrough news is also covered by ECE department website.

Point-of-care device

October 25, 2017

Our bio-group has successfully developed a portable diagnostic platform, Z-Lab, which is capable of performing on site testing of Influenza A Virus (IAV) in swine with minimum sample handling and laboratory skill requirements. Influenza virus, if present in the sample, will cause magnetic tags to bind to the GMR sensor through a sandwich structure, resulting in change in MR. This real-time electrical signal can be detected by our Z-Lab handheld device, which is capable of data processing, display, wireless communication, and GPS location services depending on the needs of specific application.

This Z-Lab system is the first version of a prototype that has been developed for point-of-care diagnostics. The GMR chips used in this system give its strong multiplex capability, which can significantly reduce costs associated with laboratory testing and enable widespread medical and environmental testing in homes, in the field, and at point-of-care clinics. The ultimate goal of our GMR-based handheld platform is to realize on-site testing on unprocessed biological samples.

Wanna know more? Click here.

Handheld device

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