Stanford University’s Automated Dipstick System Takes Errors Out Of Urine Testing

While urine dipstick tests are some of the easiest diagnostic tools physicians have, they can often be misleading if a poorly trained person does the test. Moreover, lighting and other factors can make colors seems not what they are and skew the results significantly.

At Stanford University researchers have been working on an easy-to-use device that can essentially automate the entire process and even read the results for you. It’s a black box with a mechanism that separates a urine sample into ten identical amounts and places those into ten holes at the bottom of the box.

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