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Figure 10 shows the retrotransposon sequences found in the CAMERA dataset.
Regarding the CAMERA dataset, in Supplementary Table S4 of the Supplementary Material, we provide compression results regarding the 26 files that have been used in this dataset, showing significant gains over DELIMINATE for most of them.
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We thank: Ralf Schmidt of Image Science GmbH, Berlin, for programming support; Linda Clijsters and Lenny Brocks of the Netherlands Cancer Institute (NKI), for providing the DIC dataset; Alexandre Cassago for collection of TVIPS camera data; Eric van Genderen for collecting the Medipix data; Mihoko Tame (NKI) for providing the Sony camera dataset.
Two typical images (a and b) taken from the Mastcam-right camera dataset (Fig. 3) are compared to each other by cross-correlation as function of spatial frequency (the central 1200 × 1200 pixels part of the images were used).
Figure 9 Tracking results for three targets over the 4 camera dataset.
The streak camera datasets were analyzed globally with a sequential model in order to extract a minimum number of exponential components n (with increasing lifetimes τn) that can satisfactorily describe the data (no structure in the residuals).
The data were further analyzed by a target fit ([48 50]) of all eight streak camera datasets simultaneously with the model described in Scheme 1.
Each sample/excitation combination was measured at two time windows (short time range, 0 155 ps, and long time range, 0 1500 ps), yielding eight streak camera datasets.
Different from Video Set 1, the camera in this dataset is moving or the background presents clutter motion when the camera is still.
Considering the fact that the camera in the SENSIAC dataset is static, we set P t = P.
In this dataset, the camera is fixed and the background is still.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com