Already purchased this program?
Login to View
This video program is a part of the Premium package:
Cramer Rao Inequality, Cauchy-Binet Representation and Structural Optimization of Fluorescence Unmixing Experiment
- IEEE MemberUS $11.00
- Society MemberUS $0.00
- IEEE Student MemberUS $11.00
- Non-IEEE MemberUS $15.00
Cramer Rao Inequality, Cauchy-Binet Representation and Structural Optimization of Fluorescence Unmixing Experiment
A predictive theoretical model based on Cramer-Rao bound for the uncertainty in fluorescent protein mixture composition detection has been developed. A physically based representation of the experimental efficiency through the Cauchy-Binet identity is presented. This approach allows the optimal design of the experiments without the introduction of artificial figures of merit.
A predictive theoretical model based on Cramer-Rao bound for the uncertainty in fluorescent protein mixture composition detection has been developed. A physically based representation of the experimental efficiency through the Cauchy-Binet identity is presented. This approach allows the optimal design of the experiments without the introduction of artificial figures of merit.