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ImarisReader is a set of classes for reading the data stored in ims files. ImarisReader can read the primary image data, as well as the data for segmented objects: Cells, Filaments, Spots and Surfaces.

This plugin can be used to add synthetic Poisson-distributed noise to an image in order to simulate shot noise of various signal-to-noise ratios. It can be used to generate benchmark images in order to assess the accuracy and robustness of image processing algorithms as a function of the noise level present in images.

This plugin can be used for inferring spatial interactions between patterns of spot-like objects in images or between coordinates read from a file. 

mahotas.convolve(f, weights, mode='reflect', cval=0.0, out={new array})

Convolution of f and weights

Convolution is performed in doubles to avoid over/underflow, but the result is then cast to f.dtype. This conversion may result in over/underflow when using small integer types or unsigned types (if the output is negative). Converting to a floating point representation avoids this issue:

c = convolve(f.astype(float), kernel)

Labeled images are integer images where the values correspond to different regions. I.e., region 1 is all of the pixels which have value 1, region two is the pixels with value 2, and so on. By convention, region 0 is the background and often handled differently.

OMERO is an image database application consisting of a server and several clients, the most important of which are the web client and Insight java application.