Multi-spectral image processing for the measurement of a spatial temperature distribution on the surface of a laser-heated microscopic object

• Published in: Kompʹûternaâ optika Vol. 41; no. 6; pp. 864 - 868
• Main Authors: Bulatov, K., Mantrova, Y., Bykov, A., Gaponov, M., Zinin, P., Machikhin, A., Troyan, I., Batshev, V., Kutuza, I.
• Format: Journal Article
• Language: English
• Published: 01.11.2017
• ISSN: 0134-2452; 2412-6179
• DOI: 10.18287/2412-6179-2017-41-6-864-868

In this paper, we demonstrate that combining a laser heating (LH) system with a tandem acousto-optical tunable filter (TAOTF) allows us to measure the temperature distribution (TD) across a laser-heated microscopic specimen. Spectral image processing is based on one-dimensional (1D) non-linear least squares fitting of the Planck radiation function. It is applied for determining the temperature T at each point (x, y) of the specimen surface. It is shown that spectral image processing using the 1D non-linear least squares fitting allows measurement of the TD of the laser-heated microscopic specimen with higher precision and stability than those of the conventional linear least-squares fitting of the Wien approximation of Planck’s law.