Fluorescent imaging of cells and tissues cultured within a rotating wall vessel bioreactor offers quantitative assessment
of the 3-dimensional aggregation of cells into tissue constructs. We present the design of a rotating wall vessel system
optimized for real-time fluorescent analysis. The modulation transfer function of our system is found to be superior to
the commercially-available vessel used in previous fluorescence imaging studies. We demonstrate dynamic fluorescent
imaging of DAPI-stained porcine pancreatic islets.
KEYWORDS: Interferometry, Sensors, Demodulation, Calibration, Digital signal processing, Interferometers, Data acquisition, Signal processing, Fiber optics, Fiber couplers
We have developed a ballistic shock sensor based on interferometric velocimetry. The requirements of the sensor are that
it should measure the motion of an impacted armored plate with velocities up to 10 m/s, frequencies up to 100 kHz, and
displacements not exceeding about 3 mm. Our fiber optic system uses a 3 × 3 fiber directional coupler and digital
demodulation for passive stabilization of the interferometer. In this paper, we describe the digital signal processing for
phase drift compensation and automatic calibration of the system. Simulation results will be presented.
KEYWORDS: Cameras, Video, Detection and tracking algorithms, RGB color model, Image segmentation, Head, Pattern recognition, Video surveillance, Automatic exposure, Image processing algorithms and systems
In this paper, we address a few important image analysis problems, which are fundamental to the design of Perceptual User Interface. We use an inexpensive stationary desktop camera to collect the video streams and use them as input to the system. We present an algorithm for segmenting moving foreground object of interest from a complex, but stationary background. This algorithm can cope with illumination changes due to shadows, Automatic Exposure Correction and long term illumination changes in the environment. The segmentation is done real time and works well for both indoor and outdoor scenes. The detected foreground is recognized as human being based on head shoulder profile.
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