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The camera provides a moderate frame rate of 400 Hz at full frame resolution (1280 × 1024), and readout of smaller region of interests can be done in the 1 140 kHz range even during exposure of the full image.
Both high spatial (∼30 μm) and temporal (<200 ms per frame) resolution for small-vessel imaging are achieved at 1-3 mm deep in the hind limb owing to the beneficial NIR-II optical window that affords deep anatomical penetration and low scattering.
The frame resolution is 640 × 480.
The horizontal axis represents the time scale at frame resolution.
The estimated scene-wide maximum 95 percentile disparities are given in percentage of the frame resolution.
The number of thread blocks, NBLOCKS, depends on BLOCKSIZE and video frame resolution.
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Results are provided for increasing frame resolutions.
In general, throughput is reduced for increasing frame resolutions.
In our approach, video data are captured from a PC using the Ethernet input port with frame resolutions up to 256 × 256 at frequency fixed by the user.
In general, and consistent with previous assumptions, certain low-energy events such as "keyboard typing" are better tracked with short frame resolutions, whereas long frames perform better for a "door slam" (50 ms).
A parallel image readout and processing structure is introduced to achieve an ultra-low latency time on the order of nanoseconds, and a hyper-frame resolution in the time domain can be achieved by combining the row-by-row structure and the electrical rolling shutter technique.
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