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Added option for tissue detection - Threshold
The principle behind this approach is that in a given image that contains a tissue and imaging media we gradually increase a threshold and check how many pixels are removed by that threshold. When the threshold is in the range of intensity of the media - a small change in threshold will produce Large change in the number of affected pixels this "fast" change will slow down once the threshold reaches values of the tissue that are more continues in nature than the less variable media pixels. In this option the we aim to detect this "slowing down" and set that point as a global threshold for separating the tissue and media for the entire stack -
better estimation of the MBI post XY normalization
Was estimated before by assigning the proper-image quantile and now measured specifically from the signal fraction post normalization (this improves specifically the "upper percentile" Z normalization option) -
Error message detail In this version if running under MATLAB architecture (not standalone)
When getting an error a detailed message including the type of error and line in the code will appear helping the debugging process -
stability and bug fixes