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Researchers at UCLA have developed an optical microscope camera using advanced microfluidics technology
and real-time processing to analyze blood samples. The original 2009
model was upgraded to a higher throughput of 100,000 cells a second,
around 100 times faster than its counterparts, rendering it the fastest
camera in the world. Such a high throughput makes the camera eligible of
detecting rare cancer cells in blood with statistical accuracy.
Early
detection of diseases like Cancer is instrumental in the process of
curing it, but due to the lack of advanced monitoring devices, detecting
a handful of rogue cells between a billion healthy cells becomes
practically impossible. The technique developed by UCLA Researchers
makes this task possible with an automated, high-throughput system.
While digital cameras are the norm for analyzing cells, they fall
short for this application. Traditional CCD and CMOS cameras do not
function optimally at high speed as they become less sensitive to light
with high speed. The team of researchers led by Jalali and Dino Di
Carlo, a UCLA associate professor of bioengineering, defeated these
shortcomings by developing an optical microscope with sensitivity of one
part per million in real time.
Their research has proved
successful with real-time identification of rare breast cancer cells in
blood with a record low false-positive rate of one cell in a million and
is currently undergoing further validation.