The bacterial infection degree of a real biological sample can be determined by using magnetoresistive (MR) cytometry. In this case, it is required to count detection events and to precisely… Click to show full abstract
The bacterial infection degree of a real biological sample can be determined by using magnetoresistive (MR) cytometry. In this case, it is required to count detection events and to precisely determine the bacterial cells concentration detected by the sensor in each detection event. Here, we are proposing a method to evaluate the bacterial concentration from experimental obtained data. By simulating and analyzing the signals created by clusters with a different number of cells, shapes, and orientations relative to the sensor sensitive direction, clusters that can fit the experimental signals are found. The simulation results are compared with the experimental obtained signals in order to quantify the number of cells that are detected by the MR sensor in different detection events.
               
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