A quantitative method for the detection and localization of quantum-limited events from radionuclides in cells and tissue sections by computer-enhanced video microscopy.
Cellular dynamics often involve extremely low concentrations of biologically active substances, which can be radiolabeled and detected, localized and quantitated by autoradiography. The latter may require exposures from a few days to many months. The objective of this research was to demonstrate the feasibility of reducing this long period of data collection by one to two orders of magnitude, while maintaining or improving the spatial resolution and localization in tissues and the quantitative characteristics inherent in autoradiography. A mathematical model describing the complete system was generated using energy partition calculations to estimate photon production via scintillant per H3 beta particle emission and to estimate the subsequent photon capture based upon imaging system parameters and microscope geometry. Calculations showed that, typically, a single tritium beta particle produces a maximum of 5.8 X 10(3) photons. A photon-limited camera and microscope imaging system were selected and optimized in conjunction with a specially developed physical scintillation model. Results showed that the number of detected photoevents increases monotonically with both signal integration time and, independently, with the concentration of the radionuclide. Consequently, this work demonstrates that video microscopy imaging methods can spatially and temporally quantify very low concentrations of radiolabeled substances and can reduce data acquisition times.
Pressman
N J
NJ
Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Frost
J K
JK
Gupta
P K
PK
Showers
R L
RL
Gill
G W
GW
Cook
D L
DL
Frost
J K
JK
Traub
R K
RK
D001610:Beta Particles; D003199:Computer Systems; D003584:Cytological Techniques; D008853:Microscopy / Q000379:methods*; D008954:Models, Biological; D011827:Radiation; D012588:Scintillation Counting / Q000379:methods*; D012984:Software