I'm working with confocal image stacks with images in 4 channels across a number of z positions. My aim is to be able to scroll through the z positions in 1 or more channels of my choosing. I can do this using matplotlib and pyqt (using a slider for z navigation and check boxes, colormaps and linear blending for the different channels) but its slow, I'm looking for a more efficient way of doing it. The pyqtgraph documentation mentions 3 and 4 channel images so I was hoping this might be the answer, but I'm struggling to work out the required data formats for working with multi-channel images and google is getting me nowhere.
Is what I'm trying to do possible? My images are currently 2d numpy arrays of 0-1 floats for each channel for each z-position, basically [z position][channel][2d array of floats for pixel values] but I'm in no way tied to that format, I'd just like something that works fairly efficiently. -- You received this message because you are subscribed to the Google Groups "pyqtgraph" group. To unsubscribe from this group and stop receiving emails from it, send an email to [email protected]. To view this discussion on the web visit https://groups.google.com/d/msgid/pyqtgraph/484a04e3-9dd7-4801-9f5d-79b5712ce7e5n%40googlegroups.com.
