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Even my kids cannot detect it, and they know their tools inside out. Because red blood cells and other microparticles have a distinct diffraction pattern, or shadow image, they can be identified and counted virtually 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. LUCAS is not a substitute for a microscope but rather a complement. The LUCAS platform's advantage lies in its ability to nearly instantaneously identify and count microparticles, something that is time consuming and difficult to do with a microscope in resource-limited settings.
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Also, because LUCAS does not use a lens, the only constraint on size is the size of the chip it is built on. In research published online Dec. This improvement allows for identification of smaller particles such as E. By controlling the spatial properties of the light source, a two-dimensional holographic shadow image of the microparticles can be captured that contains much more information than the classic shadow image.
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Now that Ozcan has successfully created prototypes with a cell phone and webcam, his next step is to build from scratch a handheld device incorporating the LUCAS imaging system. Using this device, people in remote areas of the world would be able to monitor the spread of disease, allowing doctors to focus limited resources in the areas of greatest need. The system also can be used to monitor water quality by detecting hazardous microparticles.
In addition to undeveloped areas, LUCAS would be useful for water testing in the event of a disaster which compromises water quality. Materials provided by University of California - Los Angeles. Note: Content may be edited for style and length.
Science News. ScienceDaily, 23 December University of California - Los Angeles. Retrieved October 24, from www.