**max pos**- indicate position of maximum of TOS image.**skel**- perform a binary skeletonisation on the current binary image. Useful for thinning feature based representations of data.**erode**- morphological erosion of TOS image with sphere radius IP(range).**dilate**- morphological dilation of TOS image with sphere radius IP(range).**scat**- generate a 2D scattergram from a complex image with axes given in the range 0-256 for the selected region of interest. The output image has approximate Poisson statistical characteristics.**iscat**- generate a float image of probabilities from the selected region in the scattergram. The main use of this process is in the segmentation of ``complex" image data.**hist**- compute an image of greylevel frequency based on the histogram for the data given within the interval IP(thres) +- IP(range) and return the mean in IP(thresh). The output image has approximate Poisson statistical characteristics. The main use of this process is in the automatic calculation of thresholds for segmentation. Repeated application of the algorithm will set IP(thres) to the mean of the windowed distribution allowing a binary separation of the data on application of a thresholding process.**zpad**- extend the current dimensions of the image with a zero boundary by and amount IP(range).**noise**- a robust extimate of the local image noise characteristics based on the width of the vertical and horizontalsecond derivative histograms around zero. Intermedate calculations are displayed in the graph Tv and returned data appears in IP(const). Notice of any vertical and horiozontal non-uniformity is given in the main tinatool display.**window**- force the maximum and minimum values of the data to be limited to IP(thres) and IP(thres+const) respectively. Use should generally be restricted to display purposes only.