  Microgels are soft colloids that, in virtue of their polymeric nature, can
react to external stimuli such as temperature or pH by changing their size. The
resulting swelling/deswelling transition can be exploited in fundamental
research as well as for many diverse practical applications, ranging from art
restoration to medicine. Such an extraordinary versatility stems from the
complex internal structure of the individual microgels, each of which is a
crosslinked polymer network. Here we employ a recently-introduced computational
method to generate realistic microgel configurations and look at their
structural properties, both in real and Fourier space, for several temperatures
across the volume phase transition as a function of the crosslinker
concentration and of the confining radius employed during the `in-silico'
synthesis. We find that the chain-length distribution of the resulting networks
can be analytically predicted by a simple theoretical argument. In addition, we
find that our results are well-fitted to the fuzzy-sphere model, which
correctly reproduces the density profile of the microgels under study.
