A personal computer based implementation of the maximum-likelihood method of analysis of electron microscope autoradiographs.
The maximum-likelihood (ML) method for the quantitative analysis of electron-microscopic autoradiographs has been shown to be substantially superior to the conventional crossfire (CF) method. It can generate reliable and accurate tracer concentration estimates with far fewer micrographs and produce valid estimates even at counts low enough to preclude the use of the crossfire method while eliminating the need for special ad hoc treatment of narrow membranous structures as well as the secondary verification of the tracer concentration estimates. Despite these significant advantages, the large computational requirements of the ML method has to date hampered its widespread use. In this paper, we present a new line-integration method that allows us to reduce the computational requirements of the ML method to a point where it becomes feasible to implement it on a small computer system of the type typically available to a laboratory user of EM autoradiography. We present the complete line-integration method for the particular case of EM autoradiography with tritium, and show how it can be adapted to other isotopes. We have constructed a software package that implements the complete maximum-likelihood method on the IBM PC class of machines using our line-integration method. Features of this software package which are of particular importance to the research community are device independence, which makes it usable with a large variety of currently available laboratory equipment, and easy portability of the software and data between different computer systems.
Roysam
B
B
Electrical Computer and Systems Engineering, Rensselaer Polytechnic Institute, Troy, New York 12180.
Maffitt
D R
DR
Miller
M I
MI
Saffitz
J E
JE
Thomas
L J
LJ
D000465:Algorithms; D000818:Animals; D001345:Autoradiography / Q000706:statistics & numerical data*; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods; D016013:Likelihood Functions; D008838:Microcomputers; D008854:Microscopy, Electron; D012984:Software