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2D MATERIAL DETECTOR

2D material Detector for mechanical exfoliated flakes

Automated detection of mechanically exfoliated 2D materials:

  • AI based Upgrade: to distinguish between contaminant and 2D materials based on a CNN neural network.

  • Eliminates the time-consuming manual search and documentation under optical microscopes.

  • Compatible with all 2D materials — even unknown van der Waals crystals.

  • Accelerates research in novel 2D material discovery.

Specification:

  • scan range: 5cm x 5cm maximum

  • Objective lens: 10x, 20x, 50x, all compatible

  • materials: graphene, hBN, TMDC, MXene, etc

  • including all 2d materials

  • substrate: SiO2/Si, glass, 

  • detection speed: 1.3 sec/frame

  • scan speed: 0.5 um^2/sec.

  • accuracy: single layer (for graphene)

  • image format: jpg file

  • coordinate: recorded in file name

Mechanically exfoliated MoS₂: 6-hour scan on a 5 × 5 cm² SiO₂(300 nm)/Si substrate:

With our newly upgraded algorithm, we achieve over 90% detection accuracy for single-layer graphene. Built-in auto-focusing enables drift correction and stable, long-duration scans (>10 hours) across large areas. For example, scanning a 5 × 5 cm² wafer divided into 400 µm × 400 µm frames results in 125 × 125 = 15,625 frames. At 1.38 seconds per frame, a full scan takes approximately 6 hours.From over 15,000 images, the system successfully identifies just a handful (e.g., ~10) of flakes — a task impossible for humans, but made effortless by the machine.

Exfoliated hBN on glass. hBN has low contrast (blue: 4%), making it very difficult to locate thin flakes, but this equipment enables easy detection.

Sejong Scientific Instruments Inc.

​Customized research equipment specialist company

sales@sejongsciinst.com

010-4892-3458

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