Category: Internship report
Optimizing three-dimensional fluorescent particle tracking using the latest GPU architectures
Internship report, Institute for Data Processing and Electronics, Karlsruhe Institute of Technology, 2014.
High speed tracking of fluorescent nano particles enables scientists to study the drying process of fluids. A better understanding of this drying process will help develop new techniques to obtain homogeneous surfaces. Images are recorded via CMOS cameras to observe the particle flow. The challenge is to find particles 3rd coordinate from a 2D image. Depending on the distance to the objective lens of the microscope, rings of different radii appear in the images. By detecting the rings radii and coordinates, both velocity and 3D trajectories can be established for each particle. To achieve almost real-time particle tracking, highly parallel systems, such as GPUs, are used.
Supervised by Dr. Suren Chilingaryan