Last modified by puchades on 2021/12/07 10:37
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1 **The //Transform// feature in the //Nutil// software **enables **image rotation, renaming, resising, and mirroring** and is used to prepare image series for atlas alignment with //QuickNII //and segmentation with //ilastik//. It should be noted that //QuickNII //and //ilastik //have different input-image size requirements. In addition, it is important that the input images follow the standard naming convention described below.
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3 >(% style="color:#27ae60" %)The //QuickNII// and //ilastik// software have different input image size requirements. It is also important that the input images follow the prescribed naming convention.
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5 == (% style="color:#c0392b" %)Input requirements(%%) ==
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7 For //QuickNII,// the input requirements are described in details in Puchades et al., 2019. To summarise, images should be in 24-bit PNG or JPEG format, with a resolution up to 16 megapixels (e.g., 4000x4000 or 5000x3000 pixels). Keep in mind that //QuickNII //does not benefit from image resolutions exceeding the resolution of the monitor in use. For a standard FullHD or widescreen display (1920x1080 or 1920x1200 pixels), the useful image area in //QuickNII //is approximately 1500x1000 pixels. Using a similar resolution ensures optimal image-loading performance.
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9 For //ilastik// (Borg et al.2019), images are downscaled in order to enable efficient processing. The pixel classification algorithm relies on input from manual user annotations of the training images, and the features (intensity, edge, and/or texture) of the image pixels. The resising factor is determined by trial and error, with a test run performed with //ilastik// on images of different sizes to determine the optimal resolution for segmentation. As an example, in Yates et al., 2019, the images were downscaled by a factor of 10 for cellular features and by a factor of 20 for Alzheimer's plaques with respect to image width.
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11 == (% style="color:#c0392b" %)Naming convention(%%) ==
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13 For //QUINT //analysis, //Nutil Quantifier //quantifies objects extracted from segmentations and registers them to regions defined by customised atlas maps. To match segmentations and corresponding atlas maps together, //Nutil Quantifier //relies on a unique ID in the file name of both files. The ID should be unique to the particular brain section and in the format sXXX, with XXX representing the section number. The section number should reflect the serial order and spacing of the sections (e.g., s002, s006, s010 for every 4^^th^^ section starting with section 2).
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15 Example: tg2345_MMSH_s001_segmentation.png
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17 It is fine to include a string of letters and numbers followed by the unique ID.
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20 == (% style="color:#c0392b" %)Running the transformation(%%) ==
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22 Consult the //Nutil //user online manual for the detailed procedure [[https:~~/~~/nutil.readthedocs.io/en/latest/>>url:https://nutil.readthedocs.io/en/latest/]]
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24 [[image:Figure_2_v3.jpg]]