3D-Printed Device Finds ‘Needle in a Haystack’ Cancer Cells by Removing the Hay
3D-Printed Device Finds ‘Needle in a Haystack’ Cancer Cells by Removing the Hay
According to A. Fatih Sarioglu, an assistant professor in Georgia Tech’s School of Electrical and Computer Engineering (ECE)“Isolating circulating tumor cells from whole blood samples has been a challenge because we are looking for a handful of cancer cells mixed with billions of normal red and white blood cells. With this device, we can process a clinically-relevant volume of blood by capturing nearly all of the white blood cells and then filtering out the red blood cells by size. That leaves us with undamaged tumor cells that can be sequenced to determine the specific cancer type and the unique characteristics of each patient’s tumor.”
https://www.news.gatech.edu/hg/image/628242/original
3D-Printed Device Finds ‘Needle in a Haystack’ Cancer Cells by Removing the Hay
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