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Brightness and contrast of the raw image are adjusted using the offset and gain controls on the camera controller before further adjustments are made with the digital image processor Adjust the digital image processor for frame averaging, background subtraction, and digital contrast adjustment 1 Position the specimen and use the gain/offset dials on the camera controller to optimize the raw image Adjust the offset first followed by the gain 2 Click/select the background subtraction function on the image processor 3 Select the frame number 4, 8, or 16 for frame averaging This setting selects the number of video frames that will be used for frame averaging Image quality improves dramatically because the S/N ratio increases as the square root of the number of frames averaged.

For dim, noisy images, frame averaging can make a tremendous improvement, although averaging reduces the temporal resolution and may not be suitable for rapidly moving objects (Another way to see the same effect is to select the operation called averaging Simply select the number of frames and hit the start button to see the effect) 4 Find a clear area of background next to and in the same focal plane as the cell If there are no clear areas, defocus the specimen by a small amount Click Background to store the background image in the frame buffer of the processor Then press Start to initiate subtraction The screen will turn blank and medium gray Reposition the cell and refocus if necessary You are now performing a simultaneous operation of frame averaging and background subtraction.

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The Refine Edge dialog box features five tools for modifying the edges of a selection. These tools can be used individually or together: n Radius is used to designate the size of the area around the selection s boundary in which changes will occur. This can be increased to create more precise selections around soft detail like hair and fur. (This would have been useful on the snow_dog project you did earlier.) n Contrast removes any fuzziness in a selection s edge. It s often used to remove any noise that s picked up by increasing the Radius setting. (Noise is caused by random fluctuations in pixel values. In it s purest sense, it usually looks like film grain.) n Smooth is used to remove the hills and valleys in a selection s boundary. Higher settings create a smoother edge. n Feather, as we ve already seen, is used to soften edge transitions on either side of a selection. n Contract/Expand is used to make a selection larger or smaller.

The top of the tab displays a sample of how the active cell will appear with the selected number format (visible only if a cell with a value is selected). After you make your choices, click OK to apply the number format to all the selected cells.

This operation increases the S/N ratio and smoothness of the image and removes images of dust and optical blemishes in the microscope-camera system 5 After the camera s offset and gain controls have been optimized, you may make further improvements in brightness/contrast in the processed image using the digital contrast adjustments on the processor Be sure the image is being processed for frame averaging and background subtraction Now click on the Enhance button on the processor to make further adjust-.

$ unison /home/francois ssh://francois@server1//home/fcaen $ unison /home/francois /mnt/backups/francois-homedir

Miniature network adapters are great products that provide fast connectivity in a small package with a low price. The only thing that keeps me from categorically recommending them is that they are very fragile. One accidental yank on your Ethernet cable will almost certainly break the connector so be careful!

Figure 3-46

$ diff -u f1.txt f2.txt > patchfile.txt $ patch f1.txt < patchfile.txt patching file f1.txt $ cat f1.txt 1 2 3 FOUR

The next <member> test looks for a descendant of hierarchy , which we know is bound to A by looking at our last result set. The <member> test binds the result to the book variable. If we look at the graph in Figure 6.2, we see that three nodes satisfy this relationship, creating three result sets:

Hue (U)

adverbs, for example, belly (a noun), Curly (a name of a dog), and silly (an adjective). Hence there are false positives. One idea is to find words ending in -1y such that removing this still results in a word: perhaps these are more likely to be adverbs. However, sometimes adding -1y changes the final letter, so investigating this possibility first is useful. Using the Grady Ward CROSSWD .TXT word list, code sample 6.5 finds all the words that end in -1y such that when this is removed, the result is no longer a word.

11 Selection and Preparation of Supporting Electrolytes Tab. 11.1 Examples of supporting electrolytes for use in organic solvents

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operates in an open, independent, vendor-neutral fashion. EGA has published a reference model for enterprise Grids [13].

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