Noam Shemesh1, Evren zarslan2,
Peter J. Basser2, Yoram Cohen1
1School of Chemistry, Tel Aviv
University, Tel Aviv, Israel; 2Section on Tissue Biophysics and
Biomimetics, NICHD, National Institutes of Health, Bethesda, MD, United
States
Randomly
oriented compartments pose an inherent limitation for
single-pulsed-field-gradient (s-PFG) methodologies such as DTI and q-space,
and microstructural information (such as compartment shape and size) is lost.
In this study, we demonstrate that the double-PFG (d-PFG) methodology can
overcome the inherent limitations of s-PFG and extract accurate compartmental
dimensions in fixed yeast. The size extracted from the fit is in excellent
agreement with the size obtained from light microscopy. Moreover, we show
that using different mixing times, the d-PFG experiment differentiates
between spherical yeast and eccentric cyanobacteria. Our findings may be
important in characterizing grey matter and other CNS tissues.