Velocity of Bacteria and Cells Determine the Need of Antibiotics The first goal was to examine the motion of E. coli bacteria. Excel was used to analyze and record the position, velocity and acceleration of the bacteria. The second goal was to analyze and compare the cell motion of wound healing, neutrophils and E.coli bacteria using ImageJ to determine if a patient needs to take antibiotics to cure his injury based on the velocity of E. coli, neutrophils, and wound healing.
Experimental approach: In part 1 of this lab, a video of moving E. coli bacteria was provided and watched several times. A particular bacterium was selected and monitored. By using ImageJ software, the motion of bacterium was tracked and recorded in Excel. The bacterium was tracked 10 intervals in 1.64 seconds. The units were changed from frames to seconds and pixels to micrometer. The position was given in x and y coordinates; therefore, Pythagorean theory was used to calculate the distance (hypotenuse) of the cell. To find the velocity, the distance in micrometers was divided by the time in seconds. The acceleration was found by dividing the velocity (m/s2) by time (s). Finally, three different graphs were drawn from the data: graph of position vs. time, velocity vs. time, and acceleration vs. time and a best fit line was drawn for …show more content…
One particular cell of neutrophils was tracked in 10 intervals during 64.8 seconds. The wound healing was tracked in 10 interval during 3240 seconds. In the same way as part 1, the units were changed from frames to seconds and pixels to micrometers. Then, the position (um) and velocity (um/s) of wound healing and neutrophils were calculated and recorded by using the same approach as part 1. In addition, the average velocity was calculated from the velocity data of the bacteria (E. coli) and the two cells (neutrophils and wound
Experimental approach: In part 1 of this lab, a video of moving E. coli bacteria was provided and watched several times. A particular bacterium was selected and monitored. By using ImageJ software, the motion of bacterium was tracked and recorded in Excel. The bacterium was tracked 10 intervals in 1.64 seconds. The units were changed from frames to seconds and pixels to micrometer. The position was given in x and y coordinates; therefore, Pythagorean theory was used to calculate the distance (hypotenuse) of the cell. To find the velocity, the distance in micrometers was divided by the time in seconds. The acceleration was found by dividing the velocity (m/s2) by time (s). Finally, three different graphs were drawn from the data: graph of position vs. time, velocity vs. time, and acceleration vs. time and a best fit line was drawn for …show more content…
One particular cell of neutrophils was tracked in 10 intervals during 64.8 seconds. The wound healing was tracked in 10 interval during 3240 seconds. In the same way as part 1, the units were changed from frames to seconds and pixels to micrometers. Then, the position (um) and velocity (um/s) of wound healing and neutrophils were calculated and recorded by using the same approach as part 1. In addition, the average velocity was calculated from the velocity data of the bacteria (E. coli) and the two cells (neutrophils and wound