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marcyb5st

my understanding is that the scan they did on the scrolls returned the layers themselves. Like so:

```

xxxxxxxxxx <- The surface of the scroll

xxxxxxxxxx

...

xxxxxxxxxx <- The bottom of the scroll

```

So, by tiling the image on the surface you get data that is size_x * size_y * n_layers. So, it can be seen as a video stream with size_x * size_y * 1 channel * n_layers where the layers replace the temporal dimension.

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The scans used for the grand prize look like this : https://scrollprize.org/img/grandprize/scroll1.mp4

It's a cut through the scroll, with the time dimension in this video representing the location of the cut along the scroll lengthwise.

As you can see from the mess it's far from trivial to find the surface of any of the sheets in the scroll, often they layers are blended together messes.

You may be thinking of the scans they used of an unwrapped sheet, those were as you describe and were used to help figure out methods for the real challenge.

I wonder what that perfect circle gap is at 0:06, south-west from center?

That's amazing! I wonder if the solution technique has any bearing on potential improvements in diagnostic CT / MRI scans?

They explain it on the methodology sections. The scans result in a stack of tiff images that can be rendered as videos of the scan or as 3d models.

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