Urine diabetes test C014 / 1230
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Urine diabetes test C014 / 1230
MODEL RELEASED. Urine diabetes test. Woman using a urine self-test for diabetes. This test detects the levels of glucose and ketone in the urine, with the colours on the test stick (in right hand) compared to the colours on the chart held in the left hand. This test stick shows a negative result. High levels of ketone and glucose in the urine can indicate a diagnosis of diabetes, where the body is resistant to or fails to produce the insulin needed to break down sugars in the blood. Instead, fats are broken down, producing ketones
Science Photo Library features Science and Medical images including photos and illustrations
Media ID 9226577
© LEA PATERSON/SCIENCE PHOTO LIBRARY
Analysis Analytical Chart Device Diabetes Diagnosing Diagnosis Diagnostics Glucose Levels Metabolism Negative Patient Products Sugars Test Testing Urinalysis Urine Condition Disorder
EDITORS COMMENTS
In this print by Lea Paterson from Science Photo Library, we see a woman engaging in a urine self-test for diabetes. With the test stick held firmly in her right hand, she carefully compares the colors on it to the chart clutched in her left hand. The result displayed on the test stick indicates a negative outcome. This image highlights the importance of monitoring glucose and ketone levels in urine as indicators of diabetes. When high levels of these substances are present, it can suggest that the body is either resistant to insulin or unable to produce enough of it to effectively break down sugars in the bloodstream. Instead, fats are broken down, leading to ketone production. The technological advancements showcased here allow individuals like this woman to perform quick and convenient tests at home without visiting a medical facility. By analyzing urine samples with precision and accuracy, these diagnostic devices provide valuable insights into one's metabolic health. It is worth noting that this photo does not mention any specific company or commercial use but rather focuses on showcasing how technology aids in diagnosing conditions such as diabetes. The detail captured by Lea Paterson invites viewers into an intimate moment between patient and device while highlighting the significance of early detection for maintaining overall well-being.
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