Abstract
Electron microscopic autoradiography is of growing importance as a technique for the quantification of radiolabelled biochemicals in subcellular structures. In this paper, we present the results of a series of experiments that evaluate the Maximum-Likelihood (ML) method of Miller et al. and compare its performance with the well-known crossfire (CF) method.We used the ML and CF methods to analyze a common set of 48 different simulated micrographs (Fig.1) at 5 different grain-counts and 3 different Half-Distances (HDs) for a point-spread modelling H. The CF method was implemented ideally to correspond to the use of an uncountably infinite number of mask points. The count-levels and HDs were chosen to span the range of realistic values. The experiments were repeated a large number of times and the ensemble signal-to-noise ratio (ESNR), measured in decibels (dB) was computed and used as an average performance measure. A 3dB performance improvement in ESNR amounts to a doubling of accuracy.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: Proceedings, annual meeting, Electron Microscopy Society of America
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
