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Cell phones can now monitor HIV
The increase in mobile phone penetration have enabled many services for the people living in far flung areas. People living in developing countries have been biggest beneficary of this. This has already revolutionized the way people around the world communicate and do business.
And now scientists at the University of Califorinia have created a cell phone that can monitor the condition of HIV and malaria patients and test water quality at undeveloped areas.
The imaging platform, known as LUCAS (Lensless Ultra-wide-field Cell monitoring Array platform based on Shadow imaging), has now been successfully installed in both a cell phone and a webcam. Both devices acquire an image in the same way as using a short wavelength blue light to illuminate a blood, saliva or other fluid sample.
LUCAS captures an image of the microparticles in the solution using a sensor array.
As red blood cells and other microparticles have a distinct diffraction pattern, or shadow image, it becomes easier to identify and count them almost instantaneously by LUCAS using a custom-developed "decision algorithm" that compares the captured shadow images to a library of training images.
Data collected by LUCAS can then be sent to a hospital for analysis and diagnosis using the cell phone, or transferred via USB to a computer for transmission to a hospital.
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Most RecentMost Recommended Comments (6)
at 10:35 on December 23rd, 2008
When brainpower is put to constructive uses, there isn't any limit to what we can do.
at 13:33 on December 23rd, 2008
i agree with using of the photo ;-)
prisera has contributed a photo to this story.
at 16:01 on December 23rd, 2008
yvoictra has contributed a photo to this story.
at 07:59 on December 24th, 2008
I dont need it yet, the phone so far..
at 13:55 on December 24th, 2008
What an amazing tool to have.
at 23:59 on December 24th, 2008
1. Authors of this idea do not presented any information about its statistical parameters - deviations, standard errors, confidence intervals, I and II errors.
2. Statistical parameters may be gotten from experiment only.
3. Without statistical analysis this idea can not be classified as an analytical method.