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Some metal samples have defects or voids that hinders obtaining a grid at uniform spacings. In that case, we have to take nanoindentation measure at suitable spots, resulting in non-uniform spacing.
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Hi, Thanks for this good idea. Do you have an example to provide? what do you mean exactly by non-uniform? In case of missing indent, there is a NaN instead of a real value, and it can be replaced by an approximated value obtained by pixel neighbors averaging.
By non-uniform I mean the indents may be in random coordinates (not equal spacing in x- and y-axis), and we could input the indent coordinates in TriDiMap when importing the data, then the usual calculation will begin.
I thought I will be able to provide an example data file from my project (indents at random points with XY coordinates being recorded), but fortunately I was able to collect data at regular interval even though the sample had a lot of defects.
This feature may come in handy for future users, but the priority is low now.
Some metal samples have defects or voids that hinders obtaining a grid at uniform spacings. In that case, we have to take nanoindentation measure at suitable spots, resulting in non-uniform spacing.
The text was updated successfully, but these errors were encountered: