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Living Image 3.1

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C. Detection Sensitivity<br />

C.3 Smoothing<br />

194<br />

The IVIS System Control panel provides several binning options. The actual binning<br />

numbers associated with these settings depends on the CCD chip and type of image (Table<br />

C.1). These choices should satisfy most user needs. However, if you want to manually<br />

control binning, you can specify Manual Binning in the <strong>Living</strong> <strong>Image</strong> Tools-Preference-<br />

Camera Settings box.<br />

Table C.1 Binning settings<br />

Binning Camera<br />

EEV ROPER SITe Andor<br />

Medium Lumin Bin 8 Bin 5 Bin 4 Bin 4<br />

Small (high-resolution)<br />

Lumin<br />

Bin 4 Bin 2 Bin 2 Bin 2<br />

Large (high-sensitivity)<br />

Lumin<br />

Bin 16 Bin 10 Bin 8 Bin 8<br />

Medium Photo Bin 4 Bin 2 Bin 2 Bin 2<br />

Small (high-resolution)<br />

Photo<br />

Bin 2 Bin 1 Bin 1 Bin 1<br />

You can also apply soft binning after an image is acquired. Conceptually, soft binning is<br />

the same as hardware binning⎯ groups of pixels are summed and a smaller, lower<br />

resolution image is produced. However, in soft binning the summing is performed<br />

digitally on the stored image data, not on the electronic charge before readout as in<br />

hardware binning.<br />

Although soft binning does not improve the signal-to-noise ratio for read noise, it may<br />

enhance the signal visibility because it reduces the statistical scatter of nearby pixel<br />

contents. Usually, hardware binning is preferred, but if it is not possible to take another<br />

image, applying soft binning to the data may provide a worthwhile solution.<br />

Smoothing is a filtering method that reduces noise in the image data. To apply smoothing,<br />

the software replaces the intensity of each pixel with the average intensity of a nearby<br />

pixel neighborhood that includes the pixel. Figure C.4 shows a 3x3 pixel neighborhood.<br />

Smoothing does not change the pixel size and helps:<br />

• Eliminate outlier pixel values that are extremely high or low.<br />

• Reduce noise (fluctuations) in the image to help reveal small signals.

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