L
lkeza
Guest
Ok so I carried out an experiment on microcomplement fixation. I understand the experiment, and have completed most of it, apart from the data analysis in which i'm struggleing, can anyone help?
The question reads below:
Collect the data from the whole class and tabulate the absorbance differences at each antigen and antibody dilution. Plot the change in absorbance at 413nm as a function of antigen concentration and antibody dilution (use log [Ag]). Also plot the percentage complement fixed against antigen concentration and Ab dilution. You can calculate the % complement fixed using the following formula:
% complement fixed = A413(positive control) – A413(experimental data) X 100
A413 (positive control) – A413(cell control)
The positive control is the control (Ag , Ab or complement) giving maximum lysis
Then plot the % complement fixed at peak height versus the log of Ab dilution. Construct a line of best fit using regression analysis and analyse the regression line using a test for significance of the correlation.
please if anyone can help, i'd appreciate it, im looking at the data so baffled!! x
The question reads below:
Collect the data from the whole class and tabulate the absorbance differences at each antigen and antibody dilution. Plot the change in absorbance at 413nm as a function of antigen concentration and antibody dilution (use log [Ag]). Also plot the percentage complement fixed against antigen concentration and Ab dilution. You can calculate the % complement fixed using the following formula:
% complement fixed = A413(positive control) – A413(experimental data) X 100
A413 (positive control) – A413(cell control)
The positive control is the control (Ag , Ab or complement) giving maximum lysis
Then plot the % complement fixed at peak height versus the log of Ab dilution. Construct a line of best fit using regression analysis and analyse the regression line using a test for significance of the correlation.
please if anyone can help, i'd appreciate it, im looking at the data so baffled!! x