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Even though spatial resolution in our setup is significantly higher (512x512) than fast CCD (80x80) based systems, not all varicosities can easily be discerned from a single (1 ms exposure) frame.
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Techniques have been developed to reduce the effect of the instabilities and increase the image SNR causing an improvement in image precision by averaging many short exposure frames that have been rigidly registered to one another [3,5].
In the camera the disk rotates as up to 15 exposures (frame size 8 × 10 millimetres) are recorded around the disk circumference.
In this work we explore a technique called Frequency Recognition Algorithm for Multiple Exposures (FRAME) as an alternative solution for instantaneous multispectral imaging of flame species.
The shutter of the Ar laser was open only during the recording (90-100 frates at 22 24 frames per second) and all other parameters such as laser intensity, EM gain of the camera, exposure time, frame rate and length of recording remained constant throughout the experiment.
To develop an operational method for identifying workers potentially exposed to manufactured nano-objects and their aggregates and agglomerates (NOAA) and assessing their potential exposure in frame of epidemiological surveillance program EpiNano.
Each cause of death and exposure time frame was analyzed separately.
Images were 60 ms exposure with frame interval 0.11 s for total 60 s.
In particular, we fixed illumination intensity, exposure time, frame rate and total duration of recording sessions (7 min).
However, we were not able to evaluate the significance of the exposure time frame in this study because of the small differences in the monitoring times.
Generally the urinary metabolite measurements represent roughly only a 24- to 72-hr exposure time frame, whereas dust or semipermeable membrane diffusion would cover weeks or months.
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