Project

General

Profile

Bright and Dark reference images » History » Revision 18

Revision 17 (Anchi Cheng, 06/06/2012 07:11 PM) → Revision 18/24 (Anchi Cheng, 06/06/2012 07:16 PM)

h1. Bright and Dark reference images 


 Bright and Dark reference images need to be acquired for every camera setting that will 
 be used. The camera settings include image dimension, bin size, and offset. Over time, 
 references may need to be repeatedly acquired. 



 h2. Correction Channels 



 When two flat-field-corrected images are correlated, there is often an origin peak 
 derived from the common normalization image even if both image acquisition contains only 
 noise. In order to avoid this problem, two or more sets of bright/dark references, and hence 
 normalization images can be obtained per CCD camera configuration. When a correlation 
 between two images are done, Leginon will check the channel of the correction the first 
 acquired image has used and then force the new image to be corrected by a different 
 channel. 

 We recommend that you always acquire reference images on both channels. 

 h2. Acquire reference images 



 #    scope> make sure that the digital camera will be acquiring images in an area with uniform 
 beam intensity such as an empty area with no specimen nor support. You may skip a trip 
 to the scope room by sending one of the high mag preset to the scope from 
 Leginon. 
   
 #    Leginon/Node Selector> Select "Correction" node. 
   
 #    Leginon/Correction/Toolbar> Open "Settings" window. 
   
 #    Leginon/Correction/Toolbar/Settings> Select one of the Common Camera 
 Configuration or select Custom mode and enter your own values based on the presets you 
 created. 
   
 #    Leginon/Correction/Settings/Camera Configuration> Enter the Exposure time. It 
 should be chosen so that the image is not saturated and ideally close to the condition 
 that will be used in the experiments. If unsure about the experimental condition, use an 
 exposure time that gives high but not saturated counts. 
   
 #    Leginon/Correction/Settings>By default, the corrector node is set to average 3 
 images together to create one reference image and to despike the hot pixels with 
 averaged neighbor hood values. These can be changed if desired. 
   
 #    Leginon/Correction/Settings> Click OK to exit settings. 
   
 #    Leginon/Correction/Toolbar> Select "Channel 0" in the channel number 
 selector so that the next step will acquire only one image. 
   
 #    Leginon/Correction/Toolbar> Select "Raw image " from the pull down list of 
 acquisition modes and then click on "Acquire" button next to the selector to view an 
 image that is not corrected. 
   
 #    Leginon/Correction/Toolbar> Select "Both Channels" in the channel number 
 selector so that the next steps will acquire images for both correction channels. 
   
 #    Leginon/Correction/Toolbar> Select "Dark reference" in the acquisition mode 
 selector and then click "Acquire" to acquire the Dark reference image for this 
 particular camera configuration. 
   
 #    Leginon/Correction/Toolbar> Select "Bright reference" and repeat the acquisition 
 to obtain the Bright reference. 
   
 #    Leginon/Correction/Toolbar> Select "Channel 0" in the channel number 
 selector so that the next step will acquire only one image. 
   
 #    Leginon/Correction/Toolbar> Select "Corrected image" and then "Acquire" to view 
 the corrected image. A corrected image should be free of artifacts and have smaller 
 standard deviation than the raw image, in general. 
   
 #    Repeat steps 3-14 for all the images and bin sizes that will be used: 
   
 #    If [[Bright and Dark reference images#Correction-Plan|a pixel, a column/row]] or a [[Bright and Dark reference images#Bad-Region-Correction|region]] gives bad values in the bright or dark image 
 after a few trials, it may be excluded in all corrected images. 
   
 *Bright/Dark Reference Image Need for the Example MSI with 4kx4k camera:* 

 |*Dimension after binning*|*Bin*|*number of correction channels*|*Notes*| 
 |4096|1|1 or 2 if used for tomo preset| | 
 |1024|4|2|_(1)_| 
 |1024(centered)|1|1|_(2)_| 
 |512|8|2|_(3)_| |512|8|2|(3)| 
 |512 (centered)|1|1|_(3)_| 

 _(1)_-This (centered)|1|1|_(3)| 

  (1)-This camera configuration is used in preset beam shift alignment even if you don't use it for a preset. 
 _(2)_-This 
  (2)-This camera configuration is used in Manual Application Manual Focusing even if you don't use it for a preset. 
 _(3)_-These 
  (3)-These camera configurations are used in preset image shift alignment even if you don't use it for a preset. 


 

 h2. Image Despike 



 The Despike feature removes random bright or hot pixels from the acquired images. This 
 hot pixel is assigned the average intensity of the surrounding area, a circle of the radius 
 which is entered in Neighborhood Size. The Despike Threshold is the number of standard 
 deviations away from the mean that qualifies a pixel for despike correction. The despike 
 affects the flat-field corrected image saved on the disk and can not be recovered. 
 Therefore, use a minimal neighborhood size to avoid artifact and set the threshold high to 
 avoid over-despiking. 

 Activation of this feature and its parameter settings are defined when in the pop-up dialog for "Edit Correction Plan".    See below. 





 h2. Correction Plan 



 Bad Pixel, Rows and Bad Cols are used to crop portions of the image that do not read 
 well off of the digital camera. CCD. The values entered into here are determined empirically for each 
 instrument that Leginon operates on. If one column or row of the images is incorrect, 
 measure the location of the row and column that need to be removed from this image. These 
 values should then be entered as a sequence of values separated by commas by editing the 
 Plan. Click Save after adjusting. 


 Individual bad pixel can also be corrected by its surrounding pixels. Choose these 
 pixels with the selection tool on the image and then click on "Grab From Image". 






 h2. Find A Single Bad Pixel 



 When a single pixel is defected, it may not be easy to find it on a large image, even if 
 it changes the stats dramatically. A tool is available to help finding these pixels: 


 #    Leginon/Correction> Acquire either a corrected image that shows the bad 
 stats. 
   
 #    Leginon/Correction/Toolbar> Left-click on the !http://emg.nysbc.org/software/leginon/images/icons/stagelocations.png! 
 button to "Add extreme points to bad pixel list". There 
   
 #    Leginon/Correction/Tools> Left-click on the "Add Region" tool that looks like 
 "+". This adds the selected bad region to the bad pixel plan. 
   
 #    Leginon/Corrections> Acquire a corrected image in the same configuration to 
 check if the apearance improves. 


 h2. Bad Region Correction 

 Note: Bad region correction are corrected pixel-by-pixel.    This can be *computational intensive* if a large region is included.    If flat-field correction alone gives reasonable result, you should minimize usage of the this function.  


 When a large region is covered by a fallen chip, image correction through bright/dark reference may not be sufficient to produce a spike-free image since the bright and dark values in the region are almost identical. To add such a large region into bad pixel plan, do the following: 


 #    Leginon/Correction> Acquire either a bright or corrected image that shows the 
 bad region clearly. 
   
 #    Leginon/Correction> Use "Regions" target tool next to the image to enclose the 
 bad region. The corners that the target tool identifies can be larger than the bad 
 region but should be close to its size so that not too much is corrected. 
   
 #    Leginon/Correction/Tools> Left-click on the "Add Region" tool that looks like 
 "+". This adds the selected bad region to the bad pixel plan. 
   
 #    Leginon/Corrections> Acquire a corrected image in the same configuration to 
 check if the appearance improves. 

 ______ 

 [[Pixel Size Calibration|< Pixel Size Calibration]] | [[Image Shift matrix calibration|Image Shift matrix calibration >]] 

 ______