Uploaded July 2025 | Updated September 2026, 2 weeks ago

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I built an X-ray backscatter imaging system that uses compressed sensing to reconstruct full images from random samples.

Original inspiration for this project:
web.archive.org/web/20180630083729/http://www.pyrunner.com/weblog/2016/05/26/compressed-sensing-python

Github:
github.com/benkrasnow/Xray_backscatter_compressed_sensing

Original Applied Science X-ray backscatter video:
youtube.com/watch?v=H7ldYhzKAp4

Github for Source Ray X-ray tube interface documentation:
github.com/andrewgomella/sri

Steve Brunton's introduction to compressed sensing:
youtube.com/watch?v=SbU1pahbbkc

Nathan Kutz's video on compressed sensing with live coding:
youtube.com/watch?v=rt5mMEmZHfs

Support Applied Science on Patreon:
patreon.com/c/AppliedScience