Ways of Moving to Targets in Nodes that acquire images inside MSI » History » Version 7
Anchi Cheng, 08/16/2010 05:55 PM
1 | 1 | Amber Herold | h1. Ways of Moving to Targets in Nodes that acquire images inside MSI |
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6 | 6 | Amber Herold | Nodes that acquire images at each of the multi-scale mostly belong to a base class called Acquisition and have an icon that looks like a camera. There are many settings related to this main building block with many options for moving the received target to the detector center (targeting, in short). |
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9 | Targets can be moved to the center of the detector for image acquisition using one of the |
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10 | following calibrations: |
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13 | 3 | Alex Kadokura | * [[Image Shift matrix calibration|Image Shift]] |
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16 | 4 | Alex Kadokura | * [[Stage Position matrix calibration|Stage Position]] |
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19 | * [[Modeled Stage Position calibration|Modeled Stage Position]] |
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20 | 4 | Alex Kadokura | |
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22 | 7 | Anchi Cheng | * [[Image Beam Shift matrix calibration|Image Beam Shift]] |
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28 | 6 | Amber Herold | There are two movers to chose from: Presets Manager and Navigation. Presets Manager provides |
29 | 1 | Amber Herold | a simple one trial movement. It assumes that the move calibration is good enough to reach the |
30 | 6 | Amber Herold | target directly. Navigation Node is more flexible, since it can be configured to perform |
31 | multiple trials. However, most of multiple movement benefit is only relevant in the case of |
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32 | 1 | Amber Herold | Stage Position/Modeled Stage Position move type. It is also not recommended to be used to |
33 | acquire images that queued targets will be selected on. |
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36 | To achieve a movement of defined tolerance, movement by Navigation Node with multiple |
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37 | trials checks the error of targeting after each trial move. If the error is larger than the |
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38 | tolerance, the target location is recalculated from the current location, and the targeting |
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39 | movement repeated. It was noticed that on FEI microscope, the movement error is lower if the |
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40 | required move is smaller. Therefore this algorithm allows even a badly performed goniometer to |
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41 | target accurately, at the expanse of multiple exposure in the general area. At low |
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42 | magnification and highly binned short exposure, this is usually not a problem. |
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45 | The settings in the Acquisition Class that determines the above tolerance is named |
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46 | "Navigator Target Tolerance". You can set this setting to 0 which will turn off multiple move |
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47 | option and perform the move as if it is Presets Manager. |
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50 | 6 | Amber Herold | Occasionally, the additional trials do not further reduce the targeting error due to |
51 | 1 | Amber Herold | sluggishness of the goniometer movement. The user may want either to accept this closest |
52 | targeting or to abandon the acquisition sequence. The decision often lies in how long the |
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53 | acquisition sequence is and how likely that such image with lower standard is likely to be |
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54 | useful. For example, as a target for tomography tilt series, a missed target can translate to |
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55 | 30 min of wasted scope time. However, a slight miss that causes the target not centered but |
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56 | still in the view is worth data collection effort. |
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59 | The settings in the Acquisition Class that determines the above abort/proceed tolerance is |
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60 | named "Navigator Acceptable Tolerance". The "Acceptable Tolerance" should always be larger |
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61 | than the "Target Tolerance". |
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64 | In addition, a final image shift can be applied to resulting multiple move location |
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65 | although in most cases this does not improves the targeting if the targeting error is already |
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66 | smaller than 1e-7 m. |
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68 | ______ |
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70 | [[Multi-Scale Imaging Concept|< Multi-Scale Imaging Concept]] | [[Flavors of MSI applications|Flavors of MSI applications >]] |
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72 | ______ |