Antibody Titers

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Antibody titer calculations using linear regression on a specified range of dilution steps.

The average background absorbance (Blank1) is first subtracted from the measured absorbance of each sample.

This background corrected measurements (y-axis) are plotted against the log10-transformed dilution steps (x-axis). Linear regression is performed on the specified section of the resulting plot.

The average of the values measured for the Secondary Antibody Only are plotted as a horizontal line. The titer for each sample is calculated as the x-coordinate for the intersection between the regression line and the Secondary Antibody Only average.



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Help You can supply your raw data in two ways:
  1. Enter (or Paste) the raw data into the edit box. Use the same format as the example data (i.e. numbers separated by spaces). More...
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After reviewing other analysis parameters press the Calculate button below to process your results.





Linear Regression Range


Sample IDs


Run Notes