The Little Vertical Laser That Everyone Uses
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Asianometry·Tech

The Little Vertical Laser That Everyone Uses

TL;DR

VCSELs — vertical lasers firing from a wafer's surface — were invented by Kenichi Iga in 1977 and now power fiber networks, optical mice, Face ID, and LiDAR.

Key Points

  • 1.Kenichi Iga conceived the VCSEL in a midnight dream on March 22, 1977. Frustrated by the manual, unreliable cleaving process used to make edge-emitting lasers, he sketched a vertical-firing laser that could be manufactured monolithically in a fab — no surgical knives required.
  • 2.The VCSEL fires light vertically from a wafer's surface, not its edge. This yields a circular beam (easier to focus), enables testing of up to one million lasers per wafer before dicing, and allows monolithic semiconductor fabrication — solving the scalability problem of traditional edge-emitting lasers.
  • 3.Early VCSELs were impractical: the first 1979 prototype only worked at 77 Kelvin. The core problem was a high threshold current caused by leaky optical cavities; the fix required mirrors with 99%+ reflectivity, achieved using quantum wells and Bragg Reflectors — demonstrated at room temperature by 1988–1989 by both Iga and a Bell Labs team led by Jack Jewell.
  • 4.Gigabit Ethernet was the commercial breakthrough that launched mass VCSEL production. LEDs were too slow and edge-emitting lasers too unreliable for the standard; VCSELs' low cost, round beam, and easy fiber coupling made them the winner. Honeywell brought them to market in volume in 1996, followed by Motorola and Agilent.
  • 5.The post-dot-com bust pushed VCSELs into optical mice, reaching over one billion units made. Agilent integrated VCSELs into 'engine modules' in 2004; their coherent beam outperforms LEDs on difficult surfaces like metal and glass, securing VCSELs in the high-end mouse segment.
  • 6.Face ID on Apple's iPhone X (November 2017) made 3D sensing the biggest VCSEL market. Using structured light to project and read a dot pattern, VCSEL arrays now anchor facial recognition in smartphones; automotive LiDAR for EVs and self-driving cars is the next major growth frontier, though lower efficiency and brightness remain ongoing challenges.

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