World's Fastest Camera Detects Individual Cancer Cells at One Part Per Million, in Real Time
The UCLA tech… integrates their 2009 camera with advanced microfluidics and real-time image processing to classify cells in blood samples, and boasts a throughput of 100,000 cells a second. The team says this is roughly 100 times faster than conventional analyzers.
“To catch these elusive cells, the camera must be able to capture and digitally process millions of images continuously at a very high frame rate,” [researchers said], ”Conventional … cameras are not fast and sensitive enough. It takes time to read the data from the array of pixels, and they become less sensitive to light at high speed.”
The researchers are now performing clinical tests to further validate their findings. What their tech will cost, and how long it will take to ready it for prime time, remains to be seen.
