The Nissl-standardized layer 4 map was constructed by extracting layer 4 fraction (30 50%) from the standardized cortical box (Fig. 4D).
iThe extracted layers are obtained using the dataset with the removed images.
In this setup, we assume the noise is added to the extracted layers.
In addition, we present IBR and de-noising applications based on the extracted layers.
An example of the extracted layers using the method outlined in Algorithm 1 is shown in Figure 1.
We introduce the method by first describing a general segmentation problem and then showing how that solution can be adapted to extract layers from a light field dataset.
To obtain a sparse representation, the extracted layers are further decomposed using a multidimensional discrete wavelet transform (DWT), first across the view domain followed by a two-dimensional (2D) DWT applied to the image dimensions.
The amount of pyocyanin within the extracted layer was determined by measuring the OD520 [ 30] and normalized to the respective cell densities (OD600).
The hexane layer was removed with a Pasteur pipette, and 350 μL of the extract layer was diluted with 350 μL dilution solvent and transferred into HPLC vials for analysis.
Twenty ml of the extract agar mixture were placed in a Petri dish to form the base extract layer; 2 ml of the molten agar containing 0.2 ml of the test isolate was applied as a thin overlay inoculum agar layer and allowed to solidify.
