This investigation develops a multi-target tracking system for the motile protozoa, paramecium. The system can recognize, track and record the orbit of swimming paramecia within a 4 mm diameter of a circular experimental pool. The proposed system is implemented using an optical microscope, a CCD camera and a software tool, Laboratory Virtual Instrumentation Engineering Workbench (LabVIEW). An algorithm for processing the images and analyzing the traces of the paramecia is developed in LabVIEW. It focuses on extracting meaningful data in an experiment and recording them to elucidate the behavior of paramecia. The algorithm can also continue to track paramecia even if they are transposed or collide with each other. The experiment demonstrates that this multitarget tracking design can really track more than five paramecia and simultaneously yield meaningful data from the moving paramecia at a maximum speed of 1.7 mm/s.
In recent years, biotechnology is a highly developed and popular research topic. Microorganism behavior measurement is an important method for biotechnology experiment. Microscope is often used to measure microorganism behavior. The disadvantages of using the tradition microscope are expensive, heavy when the magnification is too large it's not easy to tracking microorganism. In this research, we focus on the development of a low-cost and convenient hand-held digital microscope platform. Based on digital microscope technology, we can observe and record any tiny object's behavior and movement, like paramecium behavior etc. The platform is not only low-cost, easy to operation, but it can also connect to a computer for further data processing and analysis it let the digital microscope can be used in many applications.
This investigation develops a multitarget tracking system for the motile protozoa, paramecium. The system can recognize, track, and record the orbit of swimming paramecia within a 4 mm diameter of a circular experimental pool. The proposed system is implemented using an optical microscope, a charge-coupled device camera, and a software tool, Laboratory Virtual Instrumentation Engineering Workbench (LABVIEW). An algorithm for processing the images and analyzing the traces of the paramecia is developed in LABVIEW. It focuses on extracting meaningful data in an experiment and recording them to elucidate the behavior of paramecia. The algorithm can also continue to track paramecia even if they are transposed or collide with each other. The experiment demonstrates that this multitarget tracking design can really track more than five paramecia and simultaneously yield meaningful data from the moving paramecia at a maximum speed of 1.7 mm/s.
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