Euisik Yoon

Prof. Euisik Yoon and his team are recognized for their work designing low-noise, multisite/multicolor optoelectrodes that will help neurologists learn more about neural connectivity in the brain.

To improve the prediction and identification of stem-like cancer cells, Prof. Euisik Yoon’s group developed a method that is 3.5 times faster than the standard approach.

It will now be possible to study brain activity when timing is important, such as the consolidation of memory.

Prof. Euisik Yoon and his team developed a new machine learning tool that enables large-scale testing of cancer drug effectiveness with microfluidics.

Cancer biologists and engineers collaborated on a device that could help predict the likelihood of breast cancer metastasis.

Capturing cancer cells from blood samples offers a non-invasive way to observe whether the cancer is disappearing or whether it is becoming resistant to the treatment.

A solar cell combined with a camera sensor collects photons to provide electricity.

The group brought together experts in radar and remote sensing, integrated circuits, imaging, navigation, power, communications, and nano-fabrication.

The keynote was titled, “Biointerface Technologies: Where Engineering Meets Science and Medicine.”

SPARC awarded $1M to a U-M project developing better nerve mapping.

A new NSF Tech Hub will put tools to rapidly advance our understanding of the brain into the hands of neuroscientists.

Michigan engineers release individual cells from a specially-designed chip using laser pulses.

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Some believed early Michigan brain researchers were engaging in “science fiction” – until development of an advanced tool for forging breakthroughs proved them wrong.

A new tool for making sense of the cells believed to cause cancer relapses and metastases.

IPAN sent eight undergraduates to Germany for a month of lab work, learning about the intricacies of the brain.

ICAN bring engineers and neuroscientists together to review the recent advancement in neurotechnology and neuroscience, define the need for next-generation tools, and enhance the translation of technology to the scientific community.

A pilot program will bring together researchers from different universities to collaborate on advancing research that may lead to a better understanding of the human brain.

The new probes can control and record the activity of many individual neurons, and are believed to be the smallest implantable LEDs ever made.

A “dream team” of experts in sensors, electronics, data analysis and neuroscience has been awarded a $5 million grant to help unravel the mysteries of the brain and cross-train a group of internationally-connected neuroscientists and engineers.

Yoon is leading a team that will design new light sources with lasers capable of zooming in on individual neuron circuits within the brain.

One promising area of cancer treatment is photodynamic therapy, which combines the agents of a photosensitive drug, light, and oxygen.

Several of the cubes enabled research to progress to the point that faculty are applying for larger grants to continue the work.

“We present a novel strategy to scale up the number of electrodes with minimized risk.”

The goal of MCubed is to jumpstart novel, high-risk and transformative research projects.

“We believe this could be used as an invisible knife for noninvasive surgery,” Guo said. “Nothing pokes into your body, just the ultrasound beam.”

The implant is called the BioBolt, and unlike other neural interface technologies that establish a connection from the brain to an external device such as a computer, it’s minimally invasive and low power.