  We analyze the photometric information contained in individual pixels of
galaxies in the Hubble Deep Field North (HDFN) using a new technique,
_pixel-z_, that combines predictions of evolutionary synthesis models with
photometric redshift template fitting. Each spectral energy distribution
template is a result of modeling of the detailed physical processes affecting
gas properties and star formation efficiency. The criteria chosen to generate
the SED templates is that of sampling a wide range of physical characteristics
such as age, star formation rate, obscuration and metallicity. A key feature of
our method is the sophisticated use of error analysis to generate error maps
that define the reliability of the template fitting on pixel scales and allow
for the separation of the interplay among dust, metallicity and star formation
histories. This technique offers a number of advantages over traditional
integrated color studies. As a first application, we derive the star formation
and metallicity histories of galaxies in the HDFN. Our results show that the
comoving density of star formation rate, determined from the UV luminosity
density of sources in the HDFN, increases monotonically with redshift out to at
least redshift of 5. This behavior can plausibly be explained by a smooth
increase of the UV luminosity density with redshift coupled with an increase in
the number of star forming regions as a function of redshift. We also find that
the information contained in individual pixels in a galaxy can be linked to its
morphological history. Finally, we derive the metal enrichment rate history of
the universe and find it in good agreement with predictions based on the
evolving HI content of Lyman-alpha QSO absorption line systems.
