Publication: Single molecule tracking with Kalman filtering
Program
KU Authors
Co-Authors
N/A
Advisor
Publication Date
2011
Language
English
Type
Conference proceeding
Journal Title
Journal ISSN
Volume Title
Abstract
Kalman filtering has been applied to single molecule tracking. Position and velocity of the molecules constitute the state of the process. They are measured from single frame data by maximum likelihood estimation.
Description
Source:
Optics InfoBase Conference Papers
Publisher:
Optical Society of America
Keywords:
Subject
Physics