Calibration curves, About intensity calibration curves, Optical density – UVP Life Science User Manual

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LS Software User Guide

158

Calibration Curves

About Intensity Calibration Curves

Optical Density

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Types of Calibration Curve

Apply Pre-Defined Calibration Curve

Add New Intensity Calibration Curve

Set Amount Calibration Curve

Change Calibration Curve Graph

About Intensity Calibration Curves

Intensity Calibration is the method of creating a mapping of input intensities to output intensities. The

input and output relationship establishes a curve. Ideally, such a mapping would be linear. However, if

finely tuned results are required, the mapping process may need to change. E.g. a pixel value of 100

might look slightly brighter, say 120. Or possibly the camera being used has a noise step of 40, which will

make all values below 40 look as dark as 0.

Two different metrics can be used in the Area Density tool to carry out analysis:

Optical Density

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The software allows users to create curves for both types of calibrations.

Optical Density

Standard Optical Density (OD) is used when the sample of interest is imaged with transmitted light. (i.e.

light going thru the sample, into the camera for imaging.) OD value of an area gives an idea of how much

light can pass through that area. If the area belongs to a sample in question, OD measures how much of

sample might be present in that area. Higher OD means less light can get through, suggesting presence

of higher quantity of sample.

Following Beer’s Law, the Optical Density of a given pixel P (say at position x,y) is calculated by LS

software in the following way:

OD = - Log [ (P(x,y) &endash; Black) / (Incident &endash; Black) ], if P(x,y) < Black
= - Log [ 1/ (Incident - Black) ], otherwise
Where
White = value of brightest white pixel in the imaging environment
Black = value of darkest black pixel in the imaging environment


Total Optical Density of an area is simply the sum total of OD values of all pixels.

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