How we can use light to see deep inside our bodies and brains | Mary Lou Jepsen

There is a very interesting image in the article. It shows a bunch of light coming into a block and emerging as a beam. It also has a caption saying this is impossible. It struck me as very similar to the setup in this video. [VIDEO] At about 4 minutes in, a nearly identical setup is shown with a beam of light emerging from a block of opaque material using holographic techniques. It seems plausible to me that a specially designed anti-moon hologram could allow reconstruction of the incident light from the sun, thus allowing a fire to be started without violating any law of thermodynamics.

Interesting to note that NIR light can penetrate deep into the body. There is research into using this as a medical imaging technique [0] and also research on improving age related vision loss [1] [0] [VIDEO] [1] [LINK]

Thoughts on openwater? [LINK] Claim to use light for imaging [VIDEO] There’s also the company Kernel Both companies have pretty successful founders

Mary Lou Jepsen of openwater.cc [2] has managed to image neurons and other large cell structures deep inside living bodies by phase wave interferometry and descattering signals through human tissues, even through skull and bone[1] using CMOS imageing chips, lasers, ultrasonics and holographics. A thousand times cheaper fMRI. She aims to get to realtime million pixels moving picture resolutions of around a micron. Eventually she will be able to read and write neurons or vibrate and someday maybe burn cell tissues to destruction. There are later presentations at the website where the technique is better described and visualized, but [1] is a good quick place to start and judge if you want to study their brainscanner in more depth. There are patents and a few scientific publications [3] that I'm aware of, but mostly many up to date talks with demonstrations by startup founder Mary Lou [4]. And recently she is open sourcing[5] parts of the hardware and software on github [6] so we can start building our own lab setups and improve the imageing software. [1] [VIDEO] [2] [LINK] [3] [LINK] [4] [LINK] [5] [LINK] [6] [LINK]