Environment makes you | Biophotonic 3D microscope for biotech, artificial intelligence (part 6)

Let’s continue going over the basic knowledge required for developing whole dead human body 3D-scanner microscopy technology—for advancing human immortality biotech, neurotech, and artificial intelligence.

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The onset of infrared is defined (according to different standards) at various values typically between 700 nm and 800 nm, but the boundary between visible and infrared light is not precisely defined. The human eye is markedly less sensitive to light above 700 nm wavelength, so longer wavelengths make insignificant contributions to scenes illuminated by common light sources. However, particularly intense near-IR light (e.g., from IR lasers, IR LED sources, or from bright daylight with the visible light removed by colored gels) can be detected up to approximately 780 nm, and will be perceived as red light. Intense light sources providing wavelengths as long as 1,050 nm can be seen as a dull red glow, causing some difficulty in near-IR illumination of scenes in the dark (usually this practical problem is solved by indirect illumination). Leaves are particularly bright in the near IR, and if all visible light leaks from around an IR-filter are blocked, and the eye is given a moment to adjust to the extremely dim image coming through a visually opaque IR-passing photographic filter, it is possible to see the Wood effect that consists of IR-glowing foliage.

Detecting the short-wave infrared is what I am interested in, since I’m interested in either buying or developing one or more sensors for detecting the the second near infrared light, which has the wavelength range of 1000 – 1700 nm or 1 – 1.7 μm—for 3D scanning biomatter, such as the human brain, at microscopic level.

According to that data from Wikipedia I just mentioned, very-long wave infrared with the wavelength range of 12 to about 30 μm, is covered by doped silicon, which I interpret as being able to be detected or sensed by doped silicon; it also mentions that the common silicon detectors are sensitive to about 1,050 nm, which is at the lower end of the second near infrared light, so the common silicon detectors cannot be used for detecting the full spectrum of the second near infrared light. At this point, I’m not sure whether a silicon-based electromagnetic radiation sensor can be used for the second near infrared light with doping. I’ll look into that.

It also says that InGaAs covers to about 1.8 μm; the less sensitive lead salts cover this region. Cryogenically cooled MCT detectors can cover the region of 1.0–2.5 μm.

InGaAs, Indium gallium arsenide, (alternatively gallium indium arsenide, GaInAs) is a ternary alloy (chemical compound) of indium arsenide (InAs) and gallium arsenide (GaAs). InGaAs is a room-temperature semiconductor with applications in electronics and photonics.

A ternary alloy is an alloy containing three metals or other elements.

In all likely chance, I’ll do quantum physical analysis on the molecular structure of InGaAs, or indium gallium arsenide.

MCT, or mercury cadmium telluride, Hg1−xCdxTe (also cadmium mercury telluride, MerCad Telluride, MerCadTel, MerCaT or CMT) is a chemical compound of cadmium telluride (CdTe) and mercury telluride (HgTe) with a tunable bandgap spanning the shortwave infrared to the very long wave infrared regions. The amount of cadmium (Cd) in the alloy can be chosen so as to tune the optical absorption of the material to the desired infrared wavelength. CdTe is a semiconductor with a bandgap of approximately 1.5 electronvolts (eV) at room temperature. HgTe is a semimetal, which means that its bandgap energy is zero. Mixing these two substances allows one to obtain any bandgap between 0 and 1.5 eV.

InGaAs PIN photodiodes are sold on the Internet, which are light-sensitive semiconductor diodes that produces current when it absorbs photons in the second near infrared light wavelength range of 1000 – 1700 nm or 1 – 1.7 μm. Each InGaAs PIN photodiode costs about US$100.

I need InGaAs image sensors with like 4k resolution, with 8.3 million pixels, for microscopically 3D scanning biomatter using second near infrared light. There are some InGaAs image sensors on the Internet, with a resolution as low as 128 pixels by 128 pixels; I don’t know 4k resolution InGaAs image sensors are available on the market. I’ll look more into InGaAs PIN photodiodes, InGaAs image sensors, lead salts, and cryogenically cooled MCT detectors for detecting or sensing the second near infrared light. I’ll also look into the second near infrared light generators.

I’ll continue in part 7.

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Allen Young

The transhumanistic Asian-American man who publicly promotes and advances AI, robotics, human body biotech, and mass-scale outer space tech.