Total Hemispherical Emittance Measurements
The ET-100 measures directional reflectance from 1.5 to 21 μm and, based on those values, calculates directional and total hemispherical emissivity. The ET-100 emissometer conforms to ASTM E408, the standard test method for the determination of emittance using a portable instrument. In-band reflectance data for six discrete bands.

ET-100 Applications
Characterizing materials for:

Intuitive Software
The ET-100 touchscreen interface provides:
- Temperature selection
- Guided calibration
- Sample labeling
- Measurement data display
- Sample type selection for emittance calculation
More Information
Standard ET100 Components
- Command Module with safety strap
- ET100 Measurement Head with port cap
- Specular Gold Calibration coupon in storage container (Non-NIST traceable)
- SecureDigital card reader on a USB cable
- SecureDigital card for data storage, 4 GB
- ET100 operating software
- 12 Volt battery cartridge – 2 batteries total
- Battery charger
- Pelican Case shipping/storage container
- Accessories container
- 1-year warranty
- Worldwide support
Optional ET100 Components
- Benchtop Remote Control Unit – 220VAC
- Benchtop Remote Control Unit – 120VAC
- Specular Gold Calibration Coupon (NIST Traceable)
- ET100 Reflectometer Maintenance and Calibration Plan (Non-NIST)
- ET100 Reflectometer Maintenance and Calibration Plan (NIST)
- ET100 Extended Warranty
- SD Card for Extra Data Storage
- Handheld Command Module – 220VAC
Hatcher, N., Hwang, M., & Blank, R. (2024). Acktar Fractal Black™ as a Dual-Function Thermal-Optical Control Coating and Structural Primer. 2024 IEEE Aerospace Conference, 1-7.
Rønning, D., & Tang, Y. (2024). Irradiation resistance of thermo-optical properties of zirconium diboride by 3 MeV electrons. Frontiers in Space Technologies, 5, Article 1355258. https://doi.org/10.3389/frspt.2024.1355258
S. P. Sanaka, N. D. Mareedu and Y. Bonu, “Characterization of Sustainable Solar Absorbing Materials for Solar Thermal Applications,” 2024 International Conference on Computational Intelligence for Green and Sustainable Technologies (ICCIGST), Vijayawada, India, 2024, pp. 1-7, doi: 10.1109/ICCIGST60741.2024.10717528.



