Category: Machine vision
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Automatic evaluation of dry blood spot samples for LC/MS analysis
The dry spot analysis has become so popular that even self-sampling kits are now available. However, many external factors can affect the analytical value of the sample. First of all, there is a risk of error during sample collection by a patient — blood can be squeezed out or rubbed on the surface of the…
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Machine vision algorithms
Machine vision algorithms are increasingly utilized in the detection and analysis of blood samples on dried blood spot (DBS) cards due to their precision, speed, and ability to handle large volumes of data. These algorithms often employ image processing techniques such as thresholding, edge detection, and segmentation to identify and isolate blood spots from the…