Microscope uses artificial intelligence to find cancer cells more efficiently

Tunde Akinloye/CNSI UCLA’s Claire Lifan Chen and Ata Mahjoubfar with the new device, which can image cancer cells extremely quickly and without damaging blood samples. Scientists at the California NanoSystems Institute at UCLA have developed a new technique for identifying cancer cells in blood samples faster and more accurately than the current standard methods. In one common approach to testing for cancer, doctors add biochemicals to blood samples. Those biochemicals attach biological “labels” to the cancer cells, and those labels enable instruments to detect and identify them. However, the biochemicals can damage the cells and render the samples unusable for future analyses. There are other current techniques that don’t use labeling but can be inaccurate because they identify cancer cells based only on one physical characteristic. Tunde Akinloye/CNSI Photonic time…


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