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Most of our orders are from repeat customers. Parts-People began as a small company 20 years ago in an extra bedroom of my house. I had saved a small sum of money to purchase some computer parts and began selling them on eBay. After a few months I realized that people needed a place to go for Dell parts so I began building our website. Since we are located in Austin, Texas, where Dell.com was founded, I was able to set up a solid supply line with Dell. From the start, we focused on customer satisfaction and selling quality parts. We have grown a lot since 2002 but still and always the customer will come first. You will find that we go above and beyond with every order and offer free resources and support before and after the sale.
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UCLA is known for being a leader in microscope technology and now its scientists are working on something extremely innovative in the hunt for cancer detection methods. Using a silicon chip found in smartphones and digital cameras, UCLA's Dr. Aydogan Ozcan et. al. revealed a florescence imaging attachment for analyzing DNA strands. The discovery will support cost-effective biomedical applications.
Published in Science Translational Medicine, the technique would involve a lens-free microscope “for wide-field viewing of pathology slides using a small, cheap, and portable device” (Medagadget). In fact, the microscope is said to be just as effective as the big, expensive optical microscopes. Plus, the equipment requires no lens, allowing the process of capturing images to become automatic. It works by allowing doctors to see a holographically reconstructed image of the object, and by enabling a 3D view of tissue samples using a CCD or CMOS sensor, similar to those found in smartphones and digital cameras. Thanks to the light source casting shadows on the tissue, very specific components of the sample can be zoomed in on. As you can imagine, the more specific doctors can get, the better they can diagnose and treat.
The device was officially demonstrated using an actual smartphone microscope at UCLA, where Ozcan's team tested its use on pap smear, breast, and blood samples that indicated cancer. A blind study, comparing the accuracy of samples analyzed by the new lens-free technology vs. traditional microscopes, showed that the lens-free images were accurate 99% of the time (Laser Focus World). Still, there's a lot of tweaking to do. Ozcan hopes his software will do a lot for doctors in cancer detection, or at the very least, allow patients to get samples taken in office, rather than being sent out to a specialist (Engadget). Whatever outcome, at least we have an economical and accurate alternative for diagnosing abnormal cellular structure.
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UCLA is known for being a leader in microscope technology and now its scientists are working on something extremely innovative in the hunt for cancer detection methods. Using a silicon chip found in smartphones and digital cameras, UCLA's Dr. Aydogan Ozcan et. al. revealed a florescence imaging attachment for analyzing DNA strands. The discovery will support cost-effective biomedical applications.
Published in Science Translational Medicine, the technique would involve a lens-free microscope “for wide-field viewing of pathology slides using a small, cheap, and portable device” (Medagadget). In fact, the microscope is said to be just as effective as the big, expensive optical microscopes. Plus, the equipment requires no lens, allowing the process of capturing images to become automatic. It works by allowing doctors to see a holographically reconstructed image of the object, and by enabling a 3D view of tissue samples using a CCD or CMOS sensor, similar to those found in smartphones and digital cameras. Thanks to the light source casting shadows on the tissue, very specific components of the sample can be zoomed in on. As you can imagine, the more specific doctors can get, the better they can diagnose and treat.
The device was officially demonstrated using an actual smartphone microscope at UCLA, where Ozcan's team tested its use on pap smear, breast, and blood samples that indicated cancer. A blind study, comparing the accuracy of samples analyzed by the new lens-free technology vs. traditional microscopes, showed that the lens-free images were accurate 99% of the time (Laser Focus World). Still, there's a lot of tweaking to do. Ozcan hopes his software will do a lot for doctors in cancer detection, or at the very least, allow patients to get samples taken in office, rather than being sent out to a specialist (Engadget). Whatever outcome, at least we have an economical and accurate alternative for diagnosing abnormal cellular structure. 
