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There are two views of the data: The small image on the left is a thumbnail of the entire field of view; the larger image on the right can be zoomed on and examined up close. When you zoom on the image an ROI appears in the thumbnail, showing you the area you've zoomed on. You can zoom on the image by either using the track-wheel of a mouse (if you have one), or pinching two fingers together or apart on the laptop touchpad. You can reset the zoom by right-clicking an and selecting Reset zoom.

Viewing Options

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This works best when calculating drift from dense datasets with large numbers of localisations as the default minimum number of points to cross-correlate is 400000. For sparser datasets ONI have written a Python script that changes the default number to a user-set value. You can open the Python script in the following way:

1. In the main menu, click Advanced
2. Select Python Console
3. Go to the File/Open... menu of the Python Console and open the following script: drift_ChangeLocs_Region (2).py. The script file is on the desktop of the Nanoimager PC. If you want to use it on your own copy of NimOS then email lmcb-lm-help@ucl.ac.uk and we will send you a copy.

Results Filtering

1. In the Results Filtering area you can choose to apply filters to the localisations. For example, you might want to only look at localisations with a localisation precision of 10 nm or less, or you might want to examine how the localisations change for different ranges of frames using the Frame Index filter.
2. On the left of the user interface in the Tools area you can use the Trace tool to see how parameters like photon count change over time or use the Line Histogram to measure the distance between spots.
3. Localisations can be exported using the Export Localizations as .csv button. If you've set filters in the Results Filtering area then the filtered localisations will be exported.