Differences

This shows you the differences between two versions of the page.

--- usage:data_import [2019/07/12 15:00] – pseudomoaner
+++ usage:data_import [2022/09/05 23:03] (current) – pseudomoaner
@@ Line 3: / Line 3: @@
 ===== Starting FAST =====
-Once FAST is added to your path, you can now start it by typing:
+Initialisation depends upon the version of FAST installed. For the stand-alone version, simply double click the FAST.exe icon. Alternatively, if you are using the native Matlab version, you can start it by typing:
   >> homePanel
-into your command line. This will bring up FAST's home panel:
+into your command line.
+In either case, starting FAST will bring up the home panel:
 {{ :usage:homepanel.png?800 |}}
-At the moment, most of the modules are inaccessible. As you progress through the processing stages, each module will become available sequentially. To begin, we need to choose a dataset.
+To begin with, all of the modules are inaccessible. As you progress through the processing stages, each module will become available sequentially. To begin, we need to choose a dataset.
 ===== Choosing a dataset =====
-To begin processing, click 'choose root directory'. This will bring up a folder selection dialogue; use this to navigate to your root directory, then click 'select folder'.
+To begin processing, click **Choose root directory**. This will bring up a folder selection dialogue; use this to navigate to your root directory, then click **select folder**.
 This will result in one of two outcomes:
-  - If you have already partially processed the data in this folder, the dataset will already have been converted into FAST's internal format and some processing modules may already have been completed. The home panel will change to allow you to pick up where you left off, making the appropriate modules available. If this is the case, move next to the tutorials for the relevant modules.
+  - If you have already partially processed the data in this folder, the dataset will already have been converted into FAST's internal format and some processing modules may already have been completed. The home panel will change to allow you to pick up where you left off, making the appropriate modules available. If this is the case, please move onto the tutorials for the relevant modules.
   - If you have not yet processed this dataset, data import will begin. This converts your dataset to an internal format that minimises processing times, and extracts essential metadata such as pixel size and imaging frequency.
@@ Line 33: / Line 35: @@
 <note tip>
-Upsampling is most useful when your objects are small relative to the pixel size. It is usually worth considering if your objects are smaller than ~100 pixels in area.
+Upsampling is most useful when your objects are small relative to the pixel size. It is usually worth considering if the objects you wish to detect are less than ~15 pixels in width, and is almost essential for accurate segmentation if your objects are less than ~7 pixels in width.
 </note>
-Loading bars indicating the progress of the data import process will now appear. Once it has finished,
+Loading bars indicating the progress of the data import process will now appear. Once it has finished, the **Segmentation** module should become available:
+{{ :usage:segmentationavailable.png?800 |}}
+We see how this works in the [[usage:Segmentation|next section]].
+===== Video demonstration =====
+{{ youtube>9KCBdInNobU?large }}