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Landon Torres
Landon Torres

Niki Dark



900ml of coconut cream (from the fridge) plus extra for whipped cream garnish 2 tablespoons of stevia 3 tablespoons of raw cacao powder A pinch of crushed pink peppercorns plus extra for decoration @steenbergsltd 2 tablespoons of 70% dark chocolate shavings plus extra for garnish




niki dark



More than ever data is available to help shed light in dark corners and to support making high impact decisions. When all goes well revenue managers will feel armed with the right data to check assumptions, gather insights and align teams towards profitable outcomes. With the quantity (and quality) of data sources increasing it can get daunting though.


Enhanced depth imaging optical coherence tomographic(EDI-OCT)images and converted binary images. Left column shows EDI-OCT images of the right eye, and right column shows those of the left eye. EDI-OCT images of a vertical scan through the fovea (A, B) were converted to binary images using ImageJ software. A, B: The luminal area (dark area) and the interstitial area (light area) can be seen. The lumens of the choroidal vessels seem larger in the left eye than in the right eye. The examined area was determined to be 1,500 μm wide in the subfoveal choroid. It extended vertically from the retinal pigment epithelium to the chorioscleral border, and the choroidal area was set with the ROI manager of ImageJ. The rectangle surrounded by a red line was excised, and the dark areas were traced by the Niblack method. C, D: Merged images of the binarized images and the margins of traced areas. In the binarized images, the light pixels were defined as the interstitial choroid or choroidal stroma, and the dark pixels were defined as the luminal area. E, F: Merged images of the original EDI-OCT images and the margins of traced areas show that the traced areas coincide with the dark choroidal areas of the EDI-OCT image.


Histologically, the choroid comprises blood vessels and interstitial tissues. Because the choroid does not have well-organized structures like the retina, it is difficult to detect morphological changes in the EDI-OCT images. Therefore, we used the binarization technique to differentiate and quantify the luminal from the interstitial areas. Sonoda et al. [2] showed that the luminal and stromal areas could be differentiated and quantified with high repeatability and reproducibility. In the present study, a comparison of the original EDI-OCT images to the binary images showed that the traced areas coincided with the dark choroidal areas of the EDI-OCT image. Thus, the binarization technique is not only reproducible and repeatable, but it is also valid. Although we did not have definitive evidence that the dark areas truly represented the vascular areas and the light areas the interstitial tissues, the findings of other reports and numerous empirical observations strongly suggested that the dark areas were the vascular components [5,6]. 041b061a72


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