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. 2021 Feb 17;37(18):3079–3081. doi: 10.1093/bioinformatics/btab106

Fig. 1.

Fig. 1.

Overview of the user interface and an example workflow in BDP2. (a) Image browsing. Left: The main BDP2 window with the Open and Process dropdown menus expanded (see also Supplementary Note S1). Right: BigDataViewer's user interface. (b) Binning and channel alignment. Left: Original data (zoomed in). Middle: 3×3 binning in X&Y, reducing noise and the size of the dataset by a factor of 3×3 = 9. Binning (and all other processing operations) is performed by means of lazy computation and can thus be configured interactively even for TB sized datasets. Right: Channel alignment, correcting a shift (green arrow) of the green relative to the magenta channel. (c) Cropping. Left: First time point of the dataset with interactive cropping user interface. Middle: Last time point of the dataset with enlarged cropping area to include all relevant data. Right: Cropped data, showing again the first time point. Thanks to BDP2’s lazy-loading and lazy-processing the above steps (a–c) can be executed in a few minutes. Finally, the data could be re-saved using the Save menu (not shown). In this example, binning and cropping helped to reduce the size of the data from 244 to 4.8 GB without loss of biologically relevant information

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