PITTSBURGH (KDKA) – Scientists say they have developed a new technique for identifying cancer cells in a blood sample more accurately and faster thanks to artificial intelligence. Researchers at the California NanoSystems Institute at UCLA developed the technique that combines a special microscope with an artificial intelligence algorithm to identify cancerous cells. Using the new method could reduce the time and energy to diagnose cancer, allowing doctors to treat it more quickly. The new microscope is called a photonic time stretch microscope, which uses nanosecond-long pulses of light to capture images of hundreds of thousands of cells per second. Researchers say it works by taking pictures of flowing blood cells, the way a camera uses a flash.