  Correlative light and electron microscopy is a powerful tool to study the
internal structure of cells. It combines the mutual benefit of correlating
light (LM) and electron (EM) microscopy information. However, the classical
approach of overlaying LM onto EM images to assign functional to structural
information is hampered by the large discrepancy in structural detail visible
in the LM images. This paper aims at investigating an optimized approach which
we call EM-guided deconvolution. It attempts to automatically assign
fluorescence-labelled structures to details visible in the EM image to bridge
the gaps in both resolution and specificity between the two imaging modes.
